The DOI matches its Crossref record; 75 of the 93 references it cites were found in a registry or an index; 10 of the 76 sources its claims cite were checked for support.
The human brain in numbers: a linearly scaled-up primate brain
Open accessAbstract
The human brain has often been viewed as outstanding among mammalian brains: the most cognitively able, the largest-than-expected from body size, endowed with an overdeveloped cerebral cortex that represents over 80% of brain mass, and purportedly containing 100 billion neurons and 10x more glial cells. Such uniqueness was seemingly necessary to justify the superior cognitive abilities of humans over larger-brained mammals such as elephants and whales. However, our recent studies using a novel method to determine the cellular composition of the brain of humans and other primates as well as of rodents and insectivores show that, since different cellular scaling rules apply to the brains within these orders, brain size can no longer be considered a proxy for the number of neurons in the brain. These studies also showed that the human brain is not exceptional in its cellular composition, as it was found to contain as many neuronal and non-neuronal cells as would be expected of a primate brain of its size. Additionally, the so-called overdeveloped human cerebral cortex holds only 19% of all brain neurons, a fraction that is similar to that found in other mammals. In what regards absolute numbers of neurons, however, the human brain does have two advantages compared to other mammalian brains: compared to rodents, and probably to whales and elephants as well, it is built according to the very economical, space-saving scaling rules that apply to other primates; and, among economically built primate brains, it is the largest, hence containing the most neurons. These findings argue in favor of a view of cognitive abilities that is centered on absolute numbers of neurons, rather than on body size or encephalization, and call for a re-examination of several concepts related to the exceptionality of the human brain.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
10 of 76 cited sources checked · 4 supported · 0 flagged · accuracy not yet measured
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In the gray matter of the cerebral cortex, glial cells outnumber neurons by a factor of <2 (Sherwood et al., 2006; Pelvig et al., 2008).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Introduction > The human brain in numbers
What the sources say
- Partly supportedcites Sherwood et al., 2006 sourceExperimental — accuracy not yet measured
Table 2 (Results; page unavailable) reports glia–neuron ratios below 2 in several sampled frontal-cortex areas, including 1.65 in human area 9L. But the ratio is 2.19 in human area 4, and some sampled ratios are below 1, so the paper does not establish that glia outnumber neurons by a factor of less than 2 throughout cerebral cortical gray matter. (LLM, conf=0.90)
- Not checked — no full text of the sourcecites Pelvig et al., 2008 source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“there is no significant correlation between brain size and general cognitive ability within families (Schoenemann et al., 2000)”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > The Human Brain is a Linearly Scaled-Up Primate Brain in its Number of Neurons. What Now? > Intraspecific variability in size, numbers and abilities
What the sources say
- Supportedcites Schoenemann et al., 2000 source
The Abstract reports that within-family correlations between neuroanatomy and general cognitive ability were essentially zero in 36 sibling pairs. The Discussion likewise says that the positive association seen in the general population was not found among sisters in the same families. (LLM, conf=0.93)
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Supported
In the paper
“Instead, the number of neurons in the cerebral cortex increases coordinately with the number of neurons in the cerebellum (Herculano-Houzel, submitted).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 3: proportions and relative size matter
What the sources say
- Not matchedcites Herculano-Houzel, submitted
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Load-bearingCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Not matched
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the human brain is not exceptional in its cellular composition, as it was found to contain as many neuronal and non-neuronal cells as would be expected of a primate brain of its size.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Abstract
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“this fractional number of neurons in the cerebral cortex relative to the whole brain is not correlated with the relative size of the cerebral cortex (Figure 2).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 3: proportions and relative size matter
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“with 1468 million neurons, owl monkeys have almost twice as many neurons in the brain as agoutis (which hold 857 million)”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > Not all brains are created equal: cognitive abilities and numbers of neurons
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“a similar 10-fold increase in the number of neurons in a primate brain results in an increase in brain size of only 11-fold”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > Cellular scaling rules for rodent, insectivore, and primate brains
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the capuchin monkey brain has more than twice the number of neurons of the larger-brained capybara (3.7 billion against 1.6 billion)”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > Not all brains are created equal: cognitive abilities and numbers of neurons
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“The increase in numbers of neurons in the cerebral cortex, cerebellum and remaining areas is concurrent with an even greater increase in numbers of non-neurons, yielding a maximal glia/neuron ratio that increases with brain size (Herculano-Houzel et al., 2006).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > Cellular scaling rules for rodent, insectivore, and primate brains
What the sources say
- Not checked yetcites Herculano-Houzel et al., 2006 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“a 10-fold increase in the number of neurons in a rodent brain results in a 35-fold larger brain”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > Cellular scaling rules for rodent, insectivore, and primate brains
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes
- Probably not a substantial claim. 20
- It may state two separate claims as one. 48
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Among birds, those that are larger-brained (corvids, parrots and owls) are also considered the most intelligent (Lefebvre et al., 2004).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Introduction > Why bother with cell numbers?
What the sources say
- Partly supportedcites Lefebvre et al., 2004 sourceExperimental — accuracy not yet measured
The “Neural and Cognitive Correlates of Innovation in Birds” section identifies corvids, parrots, and owls among larger-brained birds and reports a general association between brain size and cognitive measures. It does not establish that these three groups are considered the most intelligent; in particular, the passage listing owls does not link them to superior cognition. Page numbers are unavailable in our copy. (LLM, conf=0.84)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Absolute brain mass and number of neurons, left out of the encephalization equation, must clearly be taken into consideration, since the “exceeding number of neurons” in a large brain should necessarily be larger than that in a smaller brain of same EQ (Herculano-Houzel, 2007).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 1: body size matters
What the sources say
- Partly supportedcites Herculano-Houzel, 2007 sourceExperimental — accuracy not yet measured
The ‘Implications for Volume Comparisons Across Orders’ section says that comparisons of brain size should consider neuronal counts directly, not just brain volume. The paper also relates larger primate brain structures to greater numbers of neurons. It does not address encephalization quotient (EQ) or establish that a larger brain has more ‘exceeding’ neurons than a smaller brain with the same EQ; no page numbers are available in our copy. (LLM, conf=0.86)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
- Rests on an assumption: Cognitive abilities can be meaningfully compared across species.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“we have suggested that, rather than humans having a larger brain than expected, it is the great apes such as orangutans and, more notably, gorillas that have bodies that are much larger than expected for primates of their brain size (Herculano-Houzel et al., 2007).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 1: body size matters
What the sources say
- Partly supportedcites Herculano-Houzel et al., 2007 sourceExperimental — accuracy not yet measured
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“primate brain size increases approximately isometrically as a function of neuron number, with no systematic change in neuronal density or in the non-neuronal/neuronal ratio with increasing brain size”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > Cellular scaling rules for rodent, insectivore, and primate brains
What the sources say
- Supportedcites Herculano-Houzel et al., 2007 source
The Discussion states that primate brain size increases linearly with neuron number, neuronal densities remain stable, and the nonneuronal-to-neuronal cell ratio does not correlate with brain mass. These findings support all three parts of the paraphrase. (LLM, conf=0.94)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“In the order Rodentia, we find that the brain increases in size faster than it gains neurons, with a decrease in neuronal densities which, in the presence of constant non-neuronal cell densities, implies that average neuronal size increases rapidly as neurons become more numerous (Herculano-Houzel et al., 2006).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > Cellular scaling rules for rodent, insectivore, and primate brains
What the sources say
- Supportedcites Herculano-Houzel et al., 2006 source
The Results report that brain mass increases faster than neuron number across the six rodent species, while neuronal density decreases and nonneuronal cell density varies very little with structure size. The Discussion says neurons increase in average size as their numbers increase; the paper treats that size change as an estimate rather than a direct measurement. (LLM, conf=0.93)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Different mammalian orders have traditionally been pooled together in studies of brain allometry, as if their brains were built according to the same scaling rules (for example, Haug, 1987; Zhang and Sejnowski, 2000).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 2: brain size matters
What the sources say
- Not checked — no full text of the sourcecites Haug, 1987 source
- Supportedcites Zhang and Sejnowski, 2000 source
Section 2 (Empirical Scaling Law; page not provided) analyzes 59 mammalian species together under a single gray–white matter power law. The Introduction also describes earlier scaling studies using data from different species. This paper therefore serves as an example of pooling mammalian species under a shared scaling rule, though it does not explicitly classify them by order. (LLM, conf=0.88)
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“the cerebral cortex, despite varying in relative size from 42% (in the mouse) to 82% of brain mass (in the human), contains between 13 and 28% of all brain neurons in 15 of 18 species studied, ranging between 13% (in moles) and 41% (in the squirrel monkey; Herculano-Houzel et al., 2006, 2007; Sarko et al., 2009).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 3: proportions and relative size matter
What the sources say
- Partly supportedcites Herculano-Houzel et al., 2006 sourceExperimental — accuracy not yet measured
The Results (page not provided) report that cortical mass increases with brain size while the cortex contains a relatively stable 17.8 ± 3.4% of brain neurons across six rodent species. This supports the general pattern, but the paper does not establish the quoted 42%–82% mass range or the neuron percentages across 18 species, including humans, moles, and squirrel monkeys. (LLM, conf=0.88)
- Partly supportedcites Herculano-Houzel et al., 2007 sourceExperimental — accuracy not yet measured
In “Fractional Distribution of MBR and Neurons” (page unavailable), the paper reports that the cerebral cortex contains 18.9–41.8% of brain neurons in the primates examined, with 41.8% in the squirrel monkey (Saimiri). It does not establish the claimed 15-of-18-species distribution or the figures for moles, mice, and humans; its reported cortical mass range is 66.8–79.9% for the examined primates. (LLM, conf=0.88)
- Not matchedcites Sarko et al., 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Partly supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“an informal survey with senior neuroscientists that we ran in 2007 showed that most believed that the number of cells in the human brain was indeed already known: that we have about 100 billion neurons, outnumbered by about 10 times more glial cells – but none of the consulted scientists could cite an original reference for these numbers”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Introduction > The human brain in numbers
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the so-called overdeveloped human cerebral cortex holds only 19% of all brain neurons, a fraction that is similar to that found in other mammals.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Abstract
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the human cerebral cortex, which represents 82% of brain mass, holds only 19% of all neurons in the human brain”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > The cellular composition of the human brain
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“An examination of the cellular composition of the cerebellum of orangutans and one gorilla shows that the sizes of the cerebellum and cerebral cortex predicted for these species from the number of cells in the cerebellum match their actual sizes, which suggests that the brain of these animals indeed is built according to the same scaling rules that apply to humans and other primates (Herculano-Hou”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > Predictions for great apes
What the sources say
- Not matchedcites Herculano-Houzel and Kaas, in preparation
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Not matched
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the absolute number of neurons in the rodent and primate cerebral cortex does increase much faster in larger brains compared to the number of neurons in the combined brainstem, diencephalon and basal ganglia, and is accompanied by a similarly fast increase in the number of neurons in the cerebellum (Figure 5).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > The cellular composition of the human brain
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“compared to rodents, and probably to whales and elephants as well, it is built according to the very economical, space-saving scaling rules that apply to other primates”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Abstract
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“led two authors to conclude that the “factors that correlate better with intelligence (across species) are the number of cortical neurons and conduction velocity, as the basis for information processing” (Roth and Dicke, 2005).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Introduction > Why bother with cell numbers?
What the sources say
- Not checked — no full text of the sourcecites Roth and Dicke, 2005 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“Many original articles, reviews and textbooks affirm that we have 100 billion neurons and 10 times more glial cells (Kandel et al., 2000; Ullian et al., 2001; Doetsch, 2003; Nishiyama et al., 2005; Noctor et al., 2007; Allen and Barres, 2009), usually with no references cited.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Introduction > The human brain in numbers
What the sources say
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“These authors estimated the number of neurons in the human brain at about 85 billion: 12–15 billion in the telencephalon (Shariff, 1953), 70 billion in the cerebellum, as granule cells (based on Lange, 1975), and fewer than 1 billion in the brainstem.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Introduction > The human brain in numbers
What the sources say
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“among economically built primate brains, it is the largest, hence containing the most neurons.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“since different cellular scaling rules apply to the brains within these orders, brain size can no longer be considered a proxy for the number of neurons in the brain.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“the only possible explanation for the ubiquitous quote of 10 times more glial than neuronal cells in the entire human brain would be the presence of nearly one trillion glial cells in the remaining structures alone – an unlikely scenario, since these structures represent <10% of total brain mass.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Introduction > The human brain in numbers
What the sources say
- Not checked — no full text of the sourcecites Andersen et al., 1992 source
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Monkeys, for instance, possess brains that are much smaller than those of ungulates, but the higher cognitive and behavioral flexibility of monkeys over ungulates is anecdotally evident to any observer who compares the ingenious and complex abilities of macaques to those of cows or horses, even though the latter have 4–5× larger brains than macaques.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Introduction > Why bother with cell numbers?
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
- Rests on an assumption: Cognitive abilities can be meaningfully compared across species.
In the paper
“Across species, the number of neurons and their relative abundance in different parts of the brain is widely considered to be a determinant of neural function and, consequently, of behavior (Williams and Herrup, 1988).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Introduction > Why bother with cell numbers?
What the sources say
- Not checked — no full text of the sourcecites Williams and Herrup, 1988 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This is evidence that the cellular scaling rules considered here from a set of primate species also extend to primates as a whole, and can be used to infer the expected cellular composition of the human brain”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > Cellular scaling rules for rodent, insectivore, and primate brains
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Across insectivore species, on the other hand, the cerebellum increases linearly in size as a function of its number of neurons (as in primates), while the cerebral cortex increases in size hypermetrically as it gains neurons (as in rodents; Sarko et al., 2009).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > Cellular scaling rules for rodent, insectivore, and primate brains
What the sources say
- Not matchedcites Sarko et al., 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Not matched
None of the sources cited for this claim have been checked yet.
In the paper
“These findings corroborated previous studies describing neuronal density decreasing and the glia-to-neuron ratio increasing with increasing brain size across mammalian taxa (Tower and Elliot, 1952; Shariff, 1953; Friede, 1954; Tower, 1954; Hawking and Olszewski, 1957; Haug, 1987; Reichenbach, 1989; Stolzenburg et al., 1989).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > Cellular scaling rules for rodent, insectivore, and primate brains
What the sources say
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“our quantitative studies on the cellular scaling rules that apply to different mammalian orders have shown that this assumption is invalid and therefore should no longer be applied”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 2: brain size matters
Load-bearingStrength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“With a brain of only 52 g, the behavioral, social and cognitive repertoire of the capuchin monkey is outstanding compared to the capybara, a giant Amazonian rodent (MacDonald, 1981), even though the latter has a larger brain of 75 g.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Introduction > Why bother with cell numbers?
What the sources say
- Not checked — no full text of the sourcecites MacDonald, 1981 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: Cognitive abilities can be meaningfully compared across species.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Capuchin monkeys, for instance, have much larger EQs than gorillas (Marino, 1998), but are outranked by these in cognitive performance (Deaner et al., 2007).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 1: body size matters
What the sources say
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: Cognitive abilities can be meaningfully compared across species.
In the paper
“if primates have big brains merely because they have small bodies, we cannot presume that this represents an evolutionary trend driven by cognitive demands”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 1: body size matters
What the sources say
- Not checked — no full text of the sourcecites Deacon, 1997 source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Brain size varies across mammals by a factor of approximately 100,000 (Tower, 1954; Stolzenburg et al., 1989).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 2: brain size matters
What the sources say
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“compared to other mammalian orders, primate encephalization is the result of a shift in postcranial growth processes, not a modification of brain growth (Deacon, 1997).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 1: body size matters
What the sources say
- Not checked — no full text of the sourcecites Deacon, 1997 source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Compared to mammals as a whole, humans have the largest EQ found for any mammal, of between 7 and 8 (Jerison, 1973)”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 1: body size matters
What the sources say
- Not checked — no full text of the sourcecites Jerison, 1973
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“like in other non-anthropoid primates, the human brain mass represents about 2% of body mass.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 1: body size matters
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“a generic rodent brain of human-sized proportions, weighing 1.5 kg: such a brain would have only 12 billion neurons, and a much larger number of 46 billion non-neuronal cells”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > Not all brains are created equal: cognitive abilities and numbers of neurons
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“the distribution of cortical mass in humans may differ from that in other primates, endowing particularly relevant regions such as area 10 with relatively more neurons in the human cortex (Semendeferi et al., 2001).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 3: proportions and relative size matter
What the sources say
- Not checked — no full text of the sourcecites Semendeferi et al., 2001 source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“although gorillas and orangutans overlap or exceed humans in body size, their brains amount to only about one-third of the size of the human brain.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 1: body size matters
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“even if compared to anthropoid primates only, humans still have an EQ of over 3, a value that is larger than that obtained for any other primate or cetacean (Marino, 1998).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 1: body size matters
What the sources say
- Not checked — no full text of the sourcecites Marino, 1998 source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The very concept of encephalization presupposes that not only the brain scales as a function of body size, but that all brains scale the same way, such that the only informative (and sufficient) variable is brain size and its deviation from the expected.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 2: brain size matters
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“its relatively large cerebral cortex, which accounts for 82% of brain mass.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 3: proportions and relative size matter
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“according to this notion, small-brained animals with very large EQs should be expected to have more cognitive abilities than large-brained animals with smaller EQs.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 1: body size matters
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
- Rests on an assumption: Cognitive abilities can be meaningfully compared across species.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“By maintaining the average neuronal size (including all arborizations) invariant as brain size changes, primate brains scale in size in a much more space-saving, economical manner compared to the inflationary growth that occurs in rodents, in which larger numbers of neurons are accompanied by larger neurons.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > Not all brains are created equal: cognitive abilities and numbers of neurons
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“This assumption, which was justifiable by the lack of direct estimates of the neuronal composition of the brain of different species, is so widespread that it implicitly or explicitly underlies most comparative studies to date (for example, Haug, 1987; Finlay and Darlington, 1995; Barton and Harvey, 2000; Clark et al., 2001).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 2: brain size matters
What the sources say
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
In the paper
“the human brain exhibits a further modification in that it continues to grow as though in a larger body (Deacon, 1997).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > Brain and Body Scaling: The Traditional View > Assumption 1: body size matters
What the sources say
- Not checked — no full text of the sourcecites Deacon, 1997 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“sheer size alone, or in relation to body size, is not an adequate parameter to qualify, or disqualify, the human brain as “special””
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > Do we have the most neurons? predictions for other large-brained mammals
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“our standing among primates as the proud owners of the largest living brain assures that, at least among primates, we enjoy the largest number of neurons from which to derive cognition and behavior as a whole”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > The Human Brain is a Linearly Scaled-Up Primate Brain in its Number of Neurons. What Now? > Concluding remarks: our place in nature
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the enlargement of the cerebral cortex is not, in principle, an exclusive feature of the human brain: a similar expansion of the mass of the cerebral cortex, relative to the whole brain, is predicted by both the rodent and primate cellular scaling rules, irrespective of the number of neurons contained in the cortex (Table 2).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > The cellular composition of the human brain
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“if the same linear scaling rules are considered to apply to great apes as to other primates, then similar three-fold differences in brain size and in brain neurons alike apply to humans compared to gorillas, and to gorillas compared to baboons”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > The Human Brain is a Linearly Scaled-Up Primate Brain in its Number of Neurons. What Now? > Cognitive abilities, brain size and number of neurons
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“Azevedo et al. (2009), who found that the adult male human brain, at an average of 1.5 kg, has 86 billion neurons and 85 billion non-neuronal cells – numbers that deviate from the expected by 7 and 24% only.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > The cellular composition of the human brain
What the sources say
- Not checked — no full text of the sourcecites Azevedo et al. (2009) source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the human brain scales as a primate brain: this economical property of scaling alone, compared to rodents, assures that the human brain has many more neurons than would fit into a rodent brain of similar size, and possibly into any other similar-sized brain”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > The Human Brain is a Linearly Scaled-Up Primate Brain in its Number of Neurons. What Now? > Concluding remarks: our place in nature
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This generic primate brain should have a cerebral cortex of about 1.4 kg, containing 25 billion neurons, and a cerebellum weighing 120 g, with 70 billion neurons (Table 2).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > The cellular composition of the human brain
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“a hypothetical rodent brain with 86 billion neurons, like the human brain, would be predicted to weigh overwhelming 35 kg – a value that is way beyond the largest known brain mass of 9 kg for the blue whale, and probably physiologically unattainable”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > Do we have the most neurons? predictions for other large-brained mammals
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“it becomes increasingly likely that humans do not have truly unique cognitive abilities, and hence must differ from these animals not qualitatively, but rather in the combination and extent of abilities such as theory of mind, imitation and social cognition (Marino et al., 2009).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > The Human Brain is a Linearly Scaled-Up Primate Brain in its Number of Neurons. What Now? > Cognitive abilities, brain size and number of neurons
What the sources say
- Not matchedcites Marino et al., 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Not matched
None of the sources cited for this claim have been checked yet.
In the paper
“although men have been reported to have more neurons in the cerebral cortex than women (Pakkenberg and Gundersen, 1997; Pelvig et al., 2008)”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > The Human Brain is a Linearly Scaled-Up Primate Brain in its Number of Neurons. What Now? > Intraspecific variability in size, numbers and abilities
What the sources say
- Not matchedcites Pakkenberg and Gundersen, 1997
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites Pelvig et al., 2008 source
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Because of the diverging power laws that relate brain size and number of neurons across rodents and primates, the latter can hold more neurons in the same brain volume, with larger neuronal densities than found in rodents.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > The cellular composition of the human brain
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the increase in cognitive abilities afforded by increasing the number of neurons in the brain can be expected to increase exponentially with absolute number of neurons, and might even be subject to a thresholding effect once critical points of information processing are reached”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > The Human Brain is a Linearly Scaled-Up Primate Brain in its Number of Neurons. What Now? > Cognitive abilities, brain size and number of neurons
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Since neuronal density does not scale with brain size in primates, but decreases with increasing brain size in rodents, the larger the brain size, the larger is the difference in number of neurons across similar-sized rodent and primate brains.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > The cellular composition of the human brain
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The human cerebral cortex, with an average 1233 g and 16 billion neurons, is slightly below expectations for a primate brain of 1.5 kg”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > The cellular composition of the human brain
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“glial cells in the human brain are at most 50% of all brain cells, which is an important finding since it is one more brain characteristic that we share with other primates (Azevedo et al., 2009)”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > The Human Brain is a Linearly Scaled-Up Primate Brain in its Number of Neurons. What Now? > Concluding remarks: our place in nature
What the sources say
- Not checked — no full text of the sourcecites Azevedo et al., 2009 source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Not only the extent of intraspecific variation is much smaller (on the order of 10–50%) than interspecific variation (which spans five orders of magnitude within mammals; Tower, 1954; Stolzenburg et al., 1989)”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > The Human Brain is a Linearly Scaled-Up Primate Brain in its Number of Neurons. What Now? > Intraspecific variability in size, numbers and abilities
What the sources say
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“while the human cerebellum, at 154 g and 69 billion neurons, matches or even slightly exceeds the expected (Table 2)”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > The cellular composition of the human brain
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“According to one estimate, the false killer whale and the African elephant would have about 11 billion neurons in the cerebral cortex, despite their large size – and fewer neurons than the 11.5 billion estimated by the same method for the human cerebral cortex, though only marginally so (Roth and Dicke, 2005).”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > Do we have the most neurons? predictions for other large-brained mammals
What the sources say
- Not checked — no full text of the sourcecites Roth and Dicke, 2005 source
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“According to these rules, a generic primate brain of 1.5 kg should have 93 billion neurons, and 112 billion non-neuronal cells: glial cells, thus, should constitute at most half of all brain cells.”
§ The Human Brain in Numbers: A Linearly Scaled-up Primate Brain > A New View: Scaling of Neuronal Numbers > The cellular composition of the human brain
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper relies on this without support.
Humans are more cognitively capable than larger-brained mammals such as elephants and whales.
“Such uniqueness was seemingly necessary to justify the superior cognitive abilities of humans over larger-brained mammals such as elephants and whales.”
The paper relies on this without support.
Cognitive abilities can be meaningfully compared across species.
“the higher cognitive and behavioral flexibility of monkeys over ungulates is anecdotally evident to any observer who compares the ingenious and complex abilities of macaques to those of cows or horses”
The paper relies on this without support.
Non-neuronal cell densities are similar across species.
“In view of the similar non-neuronal cell densities across species”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Our neural network parameters represent a computational analog to biological neural capacity, directly reflecting the studies showing strong correlations between brain volume and total neuron count across species, humans, and mice brains (68–70).”
From What if eye...? Computationally recreating vision evolution (2025) · cites this paper as [68]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The average number of glial cells in the human brain is estimated to be 84.61 ± 9.83 × 109 (Herculano-Houzel, 2009), with the population of glial cells in the neocortex estimated at from 18.2 to 38.6 × 109”
From Human Brain/Cloud Interface (2019) · cites this paper as Herculano-Houzel, 2009
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“We suggest that corvid brains are scaled-up songbird brains, just as humans brains are to brains of nonhuman primates (38, 47)”
From Birds have primate-like numbers of neurons in the forebrain (2016) · cites this paper as [47]
In the citing paper
“the relative homogeneity of the two largest neuronal structures, with ~69 billion (cerebellar cortex) and ~16 billion (cortex) neurons out of the 86 billion neurons in the human brain33, is striking and suggests an evolutionary expansion of a canonical cortical blueprint34.”
From An anatomically comprehensive atlas of the adult human brain transcriptome (2012) · cites this paper as [33]
In the citing paper
“The neocortex alone contains approximately 16.34 billion neurons (Herculano-Houzel, 2009) and 164 trillion synapses, points of communication between neurons (Tang et al., 2001).”
From The Cellular and Molecular Landscapes of the Developing Human Central Nervous System (2016) · cites this paper as Herculano-Houzel, 2009
In the citing paper
“The human CNS is possibly the most complex biological tissue, comprising on average 86.1 billion neurons in the brain and spinal cord in males, along with a roughly equal number of glial cells (Herculano-Houzel, 2009; Herculano-Houzel et al., 2015).”
From The Cellular and Molecular Landscapes of the Developing Human Central Nervous System (2016) · cites this paper as Herculano-Houzel, 2009
In the citing paper
“which is an order of magnitude more than the total number of cells in the brain of mouse, rat, and many other mammals (Herculano-Houzel, 2009).”
From The Cellular and Molecular Landscapes of the Developing Human Central Nervous System (2016) · cites this paper as Herculano-Houzel, 2009
In the citing paper
“According to the scaling of brain metabolism with its total number of neurons proposed above, the apparently remarkable use in humans of 20% of the whole body energy budget by a brain that represents only 2% of this mass can be explained quite simply by the large number of neurons in the human brain, about 10× larger than would be expected of a rodent brain of its size [44], given the different”
From Scaling of Brain Metabolism with a Fixed Energy Budget per Neuron: Implications for Neuronal Activity, Plasticity and Evolution (2011) · cites this paper as [44]
In the citing paper
“We have shown previously that the human brain conforms to the neuronal scaling rules that apply to other primates [27], [44].”
From Scaling of Brain Metabolism with a Fixed Energy Budget per Neuron: Implications for Neuronal Activity, Plasticity and Evolution (2011) · cites this paper as [44]
In the citing paper
“The cortical reorganization hypothesis suggests that selection for absolutely larger brains-and concomitant cortical reorganization-was the predominant mechanism supporting cognitive evolution (77, 91, 100-106, 120).”
From The evolution of self-control. (2014) · cites this paper as [106]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Cortical mass is described as both exactly expected and below expected
MinorThe conclusion says the human cerebral cortex is exactly the expected size for a 1.5-kg primate brain, but the earlier results say its measured mass is below that expectation.
“a cerebral cortex that is exactly as large as expected for a primate brain of 1.5 kg”
“The human cerebral cortex, with an average 1233 g and 16 billion neurons, is slightly below expectations for a primate brain of 1.5 kg”
Citations
Cites
Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal
Ndiaye, M., Lespez, L., Tribolo, C., Rassé, M., Hadjas, I., Davidoux, S., Huysecom, É., & Douze, K. (2024) · Monash University Research Portal (Monash University) · doi:10.3929/ethz-b-000667478 · Cited by 24,214
(1982) · Trends in Neurosciences · doi:10.1016/0166-2236(82)90076-5 · Cited by 9,150
Henry, M. A. (1995) · The Journal of the American Dental Association · doi:10.14219/jada.archive.1995.0108 · Cited by 3,454
Changes in grey matter induced by training
Draganski, B., Gaser, C., Busch, V., Schuierer, G., Bogdahn, U., & May, A. (2004) · Nature · doi:10.1038/427311a · Cited by 2,373
Azevedo, F. A. C., Carvalho, L. R. B., Grinberg, L. T., Farfel, J. M., Ferretti, R. E. L., Leite, R. E. P., Filho, W. J., Lent, R., & Herculano‐Houzel, S. (2009) · Journal of Comparative Neurology · doi:10.1002/cne.21974 · Cited by 2,337
Self-citationEVOLUTION OF THE BRAIN AND INTELLIGENCE
Radinsky, L., & Jerison, H. J. (1975) · Evolution · doi:10.2307/2407154 · Cited by 1,982
Control of Synapse Number by Glia
Ullian, E. M., Sapperstein, S. K., Christopherson, K. S., & Barres, B. A. (2001) · Science · doi:10.1126/science.291.5504.657 · Cited by 1,380 · cited 1×
“Recent efforts to support this uniqueness have focused on fi nding genetic differences between humans and other primates (reviewed in Vallender, 2008), as well as cellular particularities such as the presence and distribution of Von Economo neurons (Nimchinsky et al., 1999; but see Butti et al.,…”
Linked Regularities in the Development and Evolution of Mammalian Brains
Finlay, B. L., & Darlington, R. B. (1995) · Science · doi:10.1126/science.7777856 · Cited by 1,217 · cited 2×
“This assumption, which was justifi able by the lack of direct estimates of the neuronal composition of the brain of different species, is so widespread that it implicitly or explicitly underlies most comparative studies to date (for example, Haug, 1987; Finlay and Darlington, 1995; Barton and Harvey, 2000; Clark et al…”
Black, J. E., Isaacs, K. R., Anderson, B. J., Alcantara, A. A., & Greenough, W. T. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.14.5568 · Cited by 1,161
The primate cortico-cerebellar system: anatomy and function
Ramnani, N. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1953 · Cited by 1,011 · cited 2×
“…as changes in the relative size of functional cortical areas (for instance, Semendeferi et al., 2001; Rilling and Seligman, 2002), in the volume of prefrontal white matter (Schoenemann et al., 2005) or in the size of specifi c portions of the cerebellum (Ramnani, 2006) may play in human cognition.”
Flagged first, then by citations
18 of the 93 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 801–900 of 1,776
Local transgene expression and whole‐body transgenesis to model brain diseases in nonhuman primate
Chansel‐Debordeaux, L., & Bézard, E. (2019) · Animal Models and Experimental Medicine · doi:10.1002/ame2.12055 · Cited by 6
Giakos, G. K., Farrahi, T., Douard, N., Surovich, M., Shrestha, S., Bauman, G., Benitati, A., Mohamed, H. E.-D., Giakos, Z., Ying, N., et al. (2018) · International Conference on Information, Intelligence, Systems & Applications (IISA) · doi:10.1109/iisa.2018.8633643 · Cited by 8
Hierarchically Curved Gelatin for 3D Biomimetic Cell Culture
Pahapale, G. J., Gao, S. Y., Romer, L. H., & Gracias, D. H. (2019) · ACS Applied Bio Materials · doi:10.1021/acsabm.9b00916 · Cited by 8
Spatial and Temporal Organization of the Individual Human CerebellumPreprint
Marek, S. A., Siegel, J. S., Gordon, E. M., et al. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3188429 · Cited by 8
Fast, Energy‐Efficient InGaAs Synaptic Phototransistors on Flexible Substrate
Kim, T. S., Jeon, S., Ko, K., et al. (2023) · Advanced Electronic Materials · doi:10.1002/aelm.202300437 · Cited by 7
Human Brain In Vitro Model for Pathogen Infection-Related Neurodegeneration Study
Yan, Y., & Cho, A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25126522 · Cited by 7
Scorza, F. A., Chaddad-Neto, F., Beltramim, L., et al. (2024) · Clinics · doi:10.1016/j.clinsp.2024.100424 · Cited by 7
Physical mechanisms of human brain functions
Liu, Z. (2024) · Quantitative Biology · doi:10.1002/qub2.70 · Cited by 7
“As we have pointed out in Section 1 that the neural system of human brain has a huge number of neurons [3, 4], that is, 10 11 neurons and 10 14 links among them.”
Metformin and glioma: Targeting metabolic dysregulation for enhanced therapeutic outcomes
Basheer, H. A., Salman, N., Abdullah, R. M., Elsalem, L., & Afarinkia, K. (2025) · Translational Oncology · doi:10.1016/j.tranon.2025.102323 · Cited by 7
“The relative ratio of glia/neurons in the brain has been controversial, but it is generally believed there are at least the same number of glial cells in the brain as neurons [3].”
Quantum information theoretic approach to the hard problem of consciousness
Georgiev, D. D. (2025) · Biosystems · doi:10.1016/j.biosystems.2025.105458 · Cited by 9
“…of view, however, the answer to this kind of question is quite easy: The conscious mind should look like “something” and the actual shape and texture of the brain is just an evolutionary accident due to evolution through natural selection of organisms that have bilateral symmetry [35, 36, 37, 38].”
Tan, Y., & Pang, X. (2025) · Journal of Advanced Research · doi:10.1016/j.jare.2025.09.043 · Cited by 8
“The human brain comprises billions of neurons [106].”
Shahlaei, F., Bagh, N., Zambare, M. S., & Reddy, M. R. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.106863 · Cited by 7
Leite, S., Mota, B., Silva, A. R., Commons, M. L., Miller, P. M., & Rodrigues, P. P. (2023) · PLoS ONE · doi:10.1371/journal.pone.0290743 · Cited by 7
“found that performed with similar accuracy is aligned with the idea of self-organization [5, 7, 10, 11, 65, 66], where a system accommodates more elements to respond to a more complex situation by reorganizing its internal structure as a whole [67].”
BackgroundHuang, G.-B., Westover, M. B., Tan, E., Wang, H., Cui, D., Ma, W., Wang, T., He, Q., Wei, H., Wang, N., et al. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.129053 · Cited by 9
Planning Interventions to Change Behavior
Abraham, C., & Denford, S. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-802690-8.00002-5 · Cited by 7
Polarimetric dynamic vision sensor p(DVS) principles
Nowak, M., Beninati, A., Douard, N., et al. (2020) · IEEE Instrumentation & Measurement Magazine · doi:10.1109/mim.2020.9257056 · Cited by 7
“[3] S.”
Optimization of whole-brain rabies virus tracing technology for small cell populations
Roelofs, T. J. M., Menting-Henry, S., Gol, L. M., Speel, A. M., Wielenga, V. H., Garner, K. M., Luijendijk, M. C. M., Hennrich, A. A., Conzelmann, K., & Adan, R. A. H. (2021) · Scientific Reports · doi:10.1038/s41598-021-89862-5 · Cited by 7
Parlak, C., Di̇ri̇, B., & Altun, Y. (2023) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-023-07920-8 · Cited by 7
“It consists of 100 billion neurons each with 1000 to 15,000 synaptic connections [1, 2].”
Brain control and information transfer
Tehovnik, E. J., & Chen, L. L. (2015) · Experimental Brain Research · doi:10.1007/s00221-015-4423-5 · Cited by 7
“…many dozens of neurons in the brain (Pais-Vieira et al. 2013), while the high transfer rate for speech production could be due to a larger portion of the human brain, which contains billions of neurons (Herculano-Houzel 2009), being involved in the execution of this behaviour (Ojemann 1983, 1991).”
BackgroundZippo, A. G., & Biella, G. E. M. (2015) · Scientific Reports · doi:10.1038/srep11543 · Cited by 8
The Mind-Brain Relationship as a Mathematical Problem
Ascoli, G. A. (2013) · ISRN Neuroscience · doi:10.1155/2013/261364 · Cited by 7
“A human brain has an estimated ∼10(11) neurons and 10(15) synapses [56], which could in theory form a humongous”
BackgroundBrains, teeth and life histories in hominins: a review.
de Castro, J. M. B., Modesto‐Mata, M., & Martinón‐Torres, M. (2015) · PubMed · doi:10.4436/jass.93008 · Cited by 7
Alpár, A., & Harkany, T. (2018) · Journal of Internal Medicine · doi:10.1111/joim.12815 · Cited by 8
Digital computing through randomness and order in neural networks
Pitti, A., Weidmann, C., & Quoy, M. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2115335119 · Cited by 8
Drebrins and Connexins: A Biomedical Perspective
Majoul, I. V., Ernesti, J. S., Butkevich, E., & Duden, R. (2017) · Advances in experimental medicine and biology · doi:10.1007/978-4-431-56550-5_13 · Cited by 7
“2013), there are approximately 100 billion neurons and ~1 trillion astroglial cells (Pakkenberg and Gundersen 1988 Herculano-Houzel 2009), (see also Fig.”
BackgroundRahmanda M Diki, 2. (2025) · Universitas Pasundan institutional repositories & scientific journals (Universitas Pasundan) · Cited by 7
Cerebro-cerebellar networks facilitate learning through feedback decouplingPreprint
Boven, E., Pemberton, J., Chadderton, P. T., Apps, R., & Costa, R. P. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.28.477827 · Cited by 7
Igarashi, J. (2024) · Neuroscience Research · doi:10.1016/j.neures.2024.11.005 · Cited by 6
Wagner, L., Cakar, M. E., Banchik, M., Chiem, E., Glynn, S. S., Than, A., Green, S. A., & Dapretto, M. (2025) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2025.101514 · Cited by 7
“Tucked underneath the cerebral hemispheres, the adult human cerebellum contains 4.3 times as many neurons as the cerebral cortex (Herculano-Houzel, 2009) and features an elaborately folded cortical surface with an area nearly 80 % that of the cerebrum (Sereno et al., 2020), despite making up only…”
InfluentialOsawa, M., Fujita, Y., Kagami, K., Ito, M., Tamura, Y., Tateishi, S., Take, J., Hirose, F., Hagiwara, H., Imai, K., et al. (2025) · Pediatric Research · doi:10.1038/s41390-025-04045-6 · Cited by 7
Berson, E., Perna, A., Bukhari, S. A., Kim, Y., Xue, L., Seong, D., Mataraso, S. J., Ghanem, M., Chang, A. L., Montine, K. S., et al. (2025) · Brain · doi:10.1093/brain/awaf285 · Cited by 7
“1 Given the brain’s inherent dynamic nature and the relatively small cohort sizes in human neuroscience studies, understanding cell type-specific roles in neurological disorders and identifying robust cell type-specific targets remain challenging.”
Long-Term Memory Search across the Visual Brain
Fedurco, M. (2012) · Neural Plasticity · doi:10.1155/2012/392695 · Cited by 6
“…Recherche Technique, S.A., Route André-Piller 30, 1762 Givisiez, Fribourg, Switzerland Correspondence should be addressed to Milan Fedurco, milan.fedurco@gmail.com Received 31 March 2012; Revised 23 May 2012; Accepted 28 May 2012 Academic Editor: Michael Stewart Copyright © 2012 Milan Fedurco.”
Lifespan Development, Instability, and Waddington’s Epigenetic Landscape
Hollar, D. (2016) · Springer eBooks · doi:10.1007/978-3-319-25325-1_16 · Cited by 6
Brain energetics and the connectionist concept in cognitive neuroscience
Arshavsky, Y. I. (2023) · Journal of Neurophysiology · doi:10.1152/jn.00184.2023 · Cited by 6
Du, X., Wang, M., Lu, Z., et al. (2024) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2024.3387720 · Cited by 6
“There are about 86 billion neurons interconnected via around 86 × 10 3 billion synapses in living human brains [4].”
BackgroundBimanual coordinated motor skill learning in patients with a chronic cerebellar stroke
Gathy, E., Cadiat, N., Gerardin, E., et al. (2024) · Experimental Brain Research · doi:10.1007/s00221-024-06830-x · Cited by 6
“The cerebellum is a key neural hub that hosts 70–80% of intracranial neurons and is extensively connected with telencephalic cortical areas and subcortical structures (Azevedo et al. 2009; Herculano-Houzel 2009).”
Irastorza-Valera, L., Gómez, E. S., Benítez, J. M., Montáns, F. J., & Saucedo‐Mora, L. (2024) · Biomimetics · doi:10.3390/biomimetics9060362 · Cited by 7
“Of course, the large amount of neurons ( O ( 10 11 ) ) [344] and synapses ( O ( 10 15 ) ) [345] in the human brain makes it computationally unfeasible to transpose or extrapolate individual neuronal function directly onto the macroscale; so, some compromise must be found.”
BackgroundHo, T. L., Xue, W., See, M. K., Chan, D., Tsang, A. C. O., Mak, C. H., Wong, S., & Lee, M. W. (2025) · Surgical Practice · doi:10.1111/1744-1633.70002 · Cited by 6
“19,20 Signal processing usually begins with the removal of various artefacts and noise, after which signals are normalised or”
Valadão, P. F., Kurokawa, S., Finni, T. J., & Avela, J. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00079.2017 · Cited by 6
DeFelipe, J., Douglas, R. J., Hill, S., Lein, E. S., Martin, K. A. C., Rockland, K. S., Segev, I., Shepherd, G. M., & Tamás, G. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00060 · Cited by 6
Neural Binding, Consciousness, and Mental Disorders: Complexity as a Common Element
Assis, L. P. G. D. (2015) · Activitas Nervosa Superior · doi:10.1007/bf03379943 · Cited by 6
“Herculano-Houzel, S. (2009). The human brain in numbers: a linearly scaled-up primate brain. Frontiers in human neuroscience, 3. Hertz, J., Krogh, A., & Palmer, R. G. (1991). Introduction to the theory of neural computation (Vol.”
BackgroundInfluentialQuality-Energy Trade-off and Bio-Inspired Electronic Systems
Ros, P. M., Sanginario, A., Crepaldi, M., & Demarchi, D. (2018) · IEEE Convention of Electrical and Electronics Engineers in Israel · doi:10.1109/icsee.2018.8646112 · Cited by 6
“2 spikes/s per neuron, power consumption ∼20 W) [3], [4].”
Gheorghe, D. A., Panouilleres, M. T. N., & Walsh, N. (2021) · Cerebellum & Ataxias · doi:10.1186/s40673-020-00124-y · Cited by 6
“The cerebellum has a homogenous cytoarchitecture, reciprocal anatomical connections with the cerebral cortex and contains 80% of the total number of brain neurons [20].”
BackgroundReeder, E. L., Liber, M.-L., Traubert, O. D., et al. (2022) · Biomedical Physics & Engineering Express · doi:10.1088/2057-1976/ac9abc · Cited by 6
Non-Separability of Physical Systems as a Foundation of Consciousness
Arkhipov, A. S. (2022) · Entropy · doi:10.3390/e24111539 · Cited by 8
“There are on the order of 1010 neurons in the human thalamo‐cortical system [72,73], and even assuming that only a fraction of them form the main non‐separable state, the dimensionality of that state still may be immense.”
BackgroundDiversity of cellular physiology and morphology of Purkinje cells in the adult zebrafish cerebellum
Magnus, G., Xing, J.-L., Zhang, Y., & Han, V. Z. (2022) · The Journal of Comparative Neurology · doi:10.1002/cne.25435 · Cited by 6
“Purkinje cells receive two excitatory inputs, climbing fibers and parallel fibers (CFs and PFs; Figure 1b), where the former originate in the contralateral inferior olive and the latter are the axons of up to 50 billion granule cells (Azevedo et al., 2009; Herculano-Houzel, 2009).”
BackgroundResilience of compound action potential peaks to high‐frequency firing in the mouse optic nerve
Hopper, A. J., Beswick‐Jones, H., & Brown, A. M. (2023) · Physiological Reports · doi:10.14814/phy2.15606 · Cited by 6
Molecular Mechanisms of Synaptic Plasticity: Dynamic Changes in Neuron Functions
Martella, G. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241612567 · Cited by 6
When is a brain organoid a sentience candidate?
Birch, J. (2023) · Molecular Psychology: Brain, Behavior, and Society · doi:10.12688/molpsychol.17524.1 · Cited by 12
Mohammadpanah, M., Farrokhi, S., Sani, M., Moghaddam, M. H., Bayat, A., Boroujeni, M. E., Abdollahifar, M., Fathi, M., Vakili, K. G., Nikpour, F., et al. (2023) · Toxicology Research · doi:10.1093/toxres/tfad098 · Cited by 6
Chemical cognition: chemoconnectomics and convergent evolution of integrative systems in animals
Moroz, L. L., & Romanova, D. Y. (2023) · Animal Cognition · doi:10.1007/s10071-023-01833-7 · Cited by 6
“These observations lead to the conjecture that primordial neural-like systems were non-synaptic (Moroz 2014, 2009) and may have used 100 or more signal molecules for intercellular communications, behavioral integration, and short-and long-term developmental plasticity (Moroz et al. 2021).”
Calibration of stochastic, agent-based neuron growth models with approximate Bayesian computation
Duswald, T., Breitwieser, L., Thorne, T., Wohlmuth, B. I., & Bauer, R. (2024) · Journal of Mathematical Biology · doi:10.1007/s00285-024-02144-2 · Cited by 7
“The brain is the human’s most complex organ and comprises roughly 86 billion neurons (Azevedo et al. 2009; Herculano-Houzel 2009), each of which is connected to hundreds or thousands of others via synapses.”
BackgroundNavaridas, J., Luj'n, M., Plana, L. A., et al. (2012) · doi:10.1109/hpcc.2012.11 · Cited by 6
Mechanisms of astrocyte development
Sardar, D., Cheng, Y.-T., Szewczyk, L., Deneen, B., & Molofsky, A. (2020) · Patterning and Cell Type Specification in the Developing CNS and PNS · doi:10.1016/b978-0-12-397265-1.00080-0 · Cited by 16
Stock prediction and analysis using intermittent training data with artificial neural networks
Srinivasan, N., & Lakshmi, C. (2017) · International Conference on Innovations in Information, Embedded and Communication Systems · doi:10.1109/iciiecs.2017.8276082 · Cited by 6
“The connection towards the output layer has comprised of the layers having connections and the implementation of this three layered structure forwards the perception network [6].”
BackgroundFinding community of brain networks based on artificial bee colony with uniform design
Zhang, J., Zhu, X., Feng, J., et al. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-7472-0 · Cited by 6
“The consensus of the neuroscience community is that a human brain contains about 100 billion (1011) neurons connected by about 100 trillion (1014) synapses [2, 17], which are anatomically https://doi.”
BackgroundRietman, E. A., Taylor, S., Siegelmann, H. T., Deriu, M. A., Cavaglià, M., & Tuszyński, J. A. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21031116 · Cited by 6
He, Q., & Pursiainen, S. (2021) · Cognitive Systems Research · doi:10.1016/j.cogsys.2020.08.006 · Cited by 7
Raj, V., Jagadish, C., & Gautam, V. (2021) · Biophysics Reviews · doi:10.1063/5.0043014 · Cited by 7
“42 The question then is how can such an intricate circuit be generated with the necessary precision and reliability?”
BackgroundMuniz, J. A. P. C., Leal, L. C. P., Bahia, C. P., & Krejčová, L. V. (2021) · Revista Pan-Amazônica de Saúde · doi:10.5123/s2176-6223202100514 · Cited by 6
Memory: Synaptic or Cellular, That Is the Question
Arshavsky, Y. I. (2022) · The Neuroscientist · doi:10.1177/10738584221086488 · Cited by 7
“As stated in one review, “Quantitative changes in the neuronal composition of the brain could therefore be a main driving force that, through the exponential combination of processing units, and therefore of computational abilities, leads to events that may look like “jumps” in the evolution of brains and intelligence…”
BackgroundConvergent? Minds? Some questions about mental evolution
Cartmill, M. (2017) · Interface Focus · doi:10.1098/rsfs.2016.0125 · Cited by 5
Performance evaluation of an implantable sensor for deep brain imaging: an analytical investigation
Nazempour, R., Liu, C., Chen, Y., Ma, C., & Sheng, X. (2019) · Optical Materials Express · doi:10.1364/ome.9.003729 · Cited by 6
Herculano‐Houzel, S. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-374236-0.10001-x · Cited by 7
Self-citationNeuroplastizität und Lernen im Alter
Pinter, D., Weiss, E. M., Papousek, I., & Fink, A. (2014) · Lernen und Lernstörungen · doi:10.1024/2235-0977/a000081 · Cited by 6
The Fractal Geometry of the Human Brain: An Evolutionary Perspective
Hofman, M. A. (2016) · Springer series in computational neuroscience · doi:10.1007/978-1-4939-3995-4_11 · Cited by 7
Evolution of neocortical folding: A phylogenetic comparative analysis of MRI from 34 primate speciesPreprint
Heuer, K., Gülban, Ö. F., Bazin, P., Osoianu, A., Valabrègue, R., Santin, M. D., Herbin, M., & Toro, R. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/379750 · Cited by 6
Understanding the Human Brain using Brain Organoids and a Structure-Function TheoryPreprint
Silva, G. A., Muotri, A. R., & White, C. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.07.28.225631 · Cited by 6
“Physically, the brain is a geometric spatial network consisting of about 86 billion neurons and 85 billion non-neuronal cells [3, 12].”
BackgroundPietschnig, J., Penke, L., Wicherts, J. M., Zeiler, M., & Voracek, M. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2512128 · Cited by 6
OpenMEA: Open-Source Microelectrode Array Platform for Bioelectronic InterfacingPreprint
O’Leary, G., Khramtsov, I., Ramesh, R., Perez-Ignacio, A., Shah, P. T., Chameh, H. M., Gierlach, A., Genov, R., & Valiante, T. A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.11.516234 · Cited by 9
“than human, with lower neuronal density [50].”
Comparing rapid rule-learning strategies in humans and monkeysPreprint
Goudar, V., Kim, J.-W., Liu, Y., Dede, A. J. O., Jutras, M. J., Skelin, I., Ruvalcaba, M., Chang, W. K., Fairhall, A. L., Lin, J. J., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.10.523416 · Cited by 5
“It has been argued that 38 the resulting increase in the number of neurons may underlie superior human cognitive 39 abilities [6, 7].”
BackgroundDutta, S., Pang, M., Coughlin, G. M., Gudavalli, S., Roukes, M. L., Chou, T., & Gradinaru, V. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.10.637505 · Cited by 6
When is a brain organoid a sentience candidate?
Birch, J. (2024) · Molecular Psychology Brain Behavior and Society · doi:10.12688/molpsychol.17524.2 · Cited by 5
Breed function and behaviour correlate with endocranial volume in domestic dogs
Balcarcel, A. M., Sánchez-Villagra, M. R., Evin, A., Nussbaumer, M., Hemelsdaël, A., & Geiger, M. (2024) · Biology Letters · doi:10.1098/rsbl.2024.0342 · Cited by 5
Structural differences between human and mouse neurons and their implementation in generative AIs
Saiga, R., Shiga, K., Maruta, Y., Inomoto, C., Kajiwara, H., Nakamura, N., Kakimoto, Y., Yamamoto, Y., Yasutake, M., Uesugi, M., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-10912-3 · Cited by 8
“The discriminator of the GAN was made of four standard convolutional layers and a fully-connected top layer (Supplementary Table 7).”
Patton, A., & Davidsen, J. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013093 · Cited by 5
Carriere, M., Dobler, F. R., Pleßer, H. E., Feledyn, A., Tomasello, R., Wennekers, T., & Friedemann Pulvermüller, A. (2026) · Cognitive Neurodynamics · doi:10.1007/s11571-026-10415-5 · Cited by 5
“…and inhibitory neurons deviates from the typical composition of the mammalian cortex (~ 80% excitatory, ~ 20% inhibitory; Azevedo et al. 2009; Herculano-Houzel 2009), it follows the design of previous simulations employing brain-constrained models (e.g., Garagnani et al. 2008; Garagnani and…”
Developmental xenocortication using human-derived organoids in mice
Kaganovsky, K., Kelley, K. W., Gschwind, T., Harary, P. M., Kochalka, J., White, A. D., Lerma‐Usabiaga, G., Chen, X., Revah, O., Gore, F., et al. (2026) · Nature · doi:10.1038/s41586-026-11032-2 · Cited by 6
“1f), consistent with estimates that mouse cortex makes up about 42% of brain mass 8 .”
Kumar, M. S., Shanmugapriya, P., Naveen Kumar, S., et al. (2020) · International Conference on Power, Energy, Control and Transmission Systems (ICPECTS) · doi:10.1109/icpects49113.2020.9336968 · Cited by 5
“Neurons Human brain consists of 100 billion neurons and 10 times more glial cells [4].”
Information Integration from Distributed Threshold-Based Interactions
Barbosa, V. C. (2017) · Complexity · doi:10.1155/2017/7046359 · Cited by 5
“Because the cerebral cortex takes up 82% of all brain mass in humans [43] and assuming a uniform density in addition to a brain volume of 1.”
BackgroundTissue engineered organoids for neural network modelling
Roach, P., Köse-Dunn, M. J., & Fricker, R. A. (2017) · Advances in Tissue Engineering & Regenerative Medicine Open Access · doi:10.15406/atroa.2017.03.00066 · Cited by 5
“5 kg containing 100 billion neuronal cells (neurons, which transmit and receive information through electrical signals, forming synapses with other neurons) and 1 trillion non-neuronal cells (glia, structural cells of the brain, composed mainly of astrocytes, oligodendrocytes and microglia) [13].”
BackgroundHussien, H. A. H. (2016) · CDELT Occasional Papers in the Development of English Education · doi:10.21608/opde.2016.86127 · Cited by 5
“Houzel (2009) states that there are roughly 86 billion neurons in our brains.”
BackgroundLIEBERMAN, P. H. (2014) · Springer eBooks · doi:10.1007/978-1-4939-1562-0_4 · Cited by 7
Problem Solving, Incubation and Serendipity
Gilhooly, K. J. (2022) · Springer eBooks · doi:10.1007/978-3-030-84478-3_11 · Cited by 5
Human vs. Artificial Intelligence
Baeza-Yates, R. A., & Villoslada, P. (2022) · IEEE International Conference on Cognitive Machine Intelligence (CogMI) · doi:10.1109/cogmi56440.2022.00016 · Cited by 7
“The human and primate brain has a very economical design that allows a greater number of neurons for its volume, and it is also the largest brain among primates, which gives it greater cognitive capacity [29].”
BackgroundZhang, W., & Lu, W. (2023) · Mathematics · doi:10.3390/math11122716 · Cited by 5
EEG Waves Studying Intensively to Recognize the Human Attention Behavior
Attar, E. T. (2023) · International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) · doi:10.1109/icccis60361.2023.10425510 · Cited by 5
“Since William James's definition, efforts have been made to identify the underlying brain and mental architectures and accurately define and quantify attention [1].”
BackgroundENVIRONMENTAL ISSUES ON TIKTOK: TOPICS AND CLAIMS OF MISLEADING INFORMATION
Pereira, B. B., & Ha, S. (2024) · Journal of Baltic Science Education · doi:10.33225/jbse/24.23.131 · Cited by 4
“Also, the claim about how much percentage of the brain is used, according to Herculano-Houzel (2009) and Zjacic (2023), has become a common myth in the past century but has no scientific basis.”
Predicting Human Brain States with Transformer
Sun, Y., Cabezas, M., Lee, J., et al. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-84525-3_12 · Cited by 5
An Uncouth Approach to Language Recursivity
Russo, E., & Treves, A. (2011) · Biolinguistics · doi:10.5964/bioling.8837 · Cited by 6
Sleep: The hebbian reinforcement of the local inhibitory synapses
Touzet, C. F. (2015) · Medical Hypotheses · doi:10.1016/j.mehy.2015.06.013 · Cited by 5
“In the case of the human species, 22% of the neurons belong to the cortex [24].”
BackgroundRajaguru, H., & Vijayakumar, T. (2014) · EURASIP Journal on Advances in Signal Processing · doi:10.1186/1687-6180-2014-59 · Cited by 5
“, as well as brief occurrence of electrical patterns such as spindles, sharps, and spike waveforms [2].”
BackgroundGlatz, C., Ditz, J. C., Kosch, T., Schmidt, A., Lahmer, M., & Chuang, L. L. (2017) · International Conference on Mobile and Ubiquitous Multimedia (MUM) · doi:10.1145/3152832.3156560 · Cited by 5
“…understanding of how the human mind works, or how 100 billion neurons might interact with one another in order to give rise to our conscious experience of the world we inhabit [9], technological advances have facilitated our understanding by ensuring that we are indeed measuring cortical activity.”
BackgroundAge-Dependent Responses Following Traumatic Brain Injury
Brickler, T., Morton, P. D., Hazy, A., & Theus, M. H. (2018) · InTech eBooks · doi:10.5772/intechopen.71344 · Cited by 6
“By adulthood, the neocortex will have amassed approximately 20 billion neurons each capable of forming an average of 7000 connections with other neurons [12, 13].”
BackgroundThe Largest Cognitive Systems Will be Optoelectronic
Shainline, J. M. (2018) · IEEE International Conference on Rebooting Computing (ICRC) · doi:10.1109/icrc.2018.8638599 · Cited by 7
“6×10(10) neurons [49], [50] in the human cerebral cortex.”
BackgroundA Static Self-Directed Method for Generating Brain Organoids from Human Embryonic Stem Cells
Boisvert, E. M., Means, R. E., Michaud, M., Thomson, J. J., Madri, J. A., & Katz, S. G. (2020) · Journal of Visualized Experiments · doi:10.3791/60379 · Cited by 5
Dynamics of a perturbed random neuronal network with burst-timing-dependent plasticity
Sayari, E., Batista, A. M., Gabrick, E. C., Iarosz, K. C., Hansen, M., Junior, J. D. S., & Borges, F. S. (2022) · The European Physical Journal Special Topics · doi:10.1140/epjs/s11734-022-00694-4 · Cited by 5
“The brain is located at the centre of the nervous system and consists of approximately 86 billion neurons [2].”
BackgroundВалерьевич, М. И., & Telminov, O. A. (2022) · Электронная техника Серия 3 Микроэлектроника · doi:10.7868/s2410993222020099 · Cited by 5
Considerations for the Use of Viral Vectors in Nonhuman Primates
Bohlen, M. O., & Tremblay, S. (2023) · Neuromethods · doi:10.1007/978-1-0716-2918-5_16 · Cited by 4
Continuity from Fetal to Neonatal Behavior: Lessons Learned and Future Challenges
Stanojević, M. (2011) · Donald School Journal of Ultrasound in Obstetrics & Gynecology · doi:10.5005/jp-journals-10009-1185 · Cited by 5
Metadata
- Authors
- Herculano-Houzel, S.
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2009
- Volume
- 3
- Pages
- 31-31
- ISSN
- 1662-5161 (ISSN-L)
- PMC
- PMC2776484
- OpenAlex
- W2005926822
- Cited by
- 1,778
- References
- 93
- Citations by year
- 2026: 89 · 2025: 159 · 2024: 192 · 2023: 145 · 2022: 133 · 2021: 172 · 2020: 176 · 2019: 144 · 2018: 140 · 2017: 91 · 2016: 77 · 2015: 71 · 2014: 61 · 2013: 50 · 2012: 45
- FWCI
- 33.51
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Human Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
- Topics
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Primate Behavior and Ecology
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- human brain, primate brain, brain size, neuron number, glial cells, cerebral cortex, encephalization, cognitive ability, rodents, elephants, whales
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-09-28, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-09-28 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review