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.
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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
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“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
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“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
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“…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.”
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Xia, Z., Chen, Y., Su, L., & Chen, H. (2025) · Journal of Material Science and Technology · doi:10.1016/j.jmst.2025.05.007 · Cited by 10
The Neuroscience of Consciousness
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Proteomics in Traditional Chinese Medicine with an Emphasis on Alzheimer’s Disease
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“, mostly nonneuronal cells), which may mask the upregulation of neuron-enriched proteins [179, 180].”
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“2016), and the brain has 86 billion neurons (Herculano-Houzel 2009).”
BackgroundLavisse, S., Williams, S., Lecourtois, S., Camp, N. V., Guillermier, M., Gipchtein, P., Jan, C., Goutal, S., Eymin, L., Valette, J., et al. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.104484 · Cited by 12
“Finally, the mouse brain contains approximately 70 million neurons compared to 6 billion in macaques and 86 billion in humans (Herculano-Houzel, 2009).”
BackgroundEphrin-B2 paces neuronal production in the developing neocortex
Kischel, A., Audouard, C., Fawal, M.-A., & Davy, A. (2020) · BMC Developmental Biology · doi:10.1186/s12861-020-00215-3 · Cited by 13
Bordone, M. C., & Barbosa‐Morais, N. L. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.607215 · Cited by 9
“Some samples reached up to 60–90% of neurons, much higher than estimates based on cell counting (Pelvig et al., 2008; Herculano-Houzel, 2009).”
BackgroundWang, Y., Jiang, M., Huang, L., Meng, X., Li, S., Pang, X.-Q., & Zeng, Z. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.690979 · Cited by 11
“However, the human brain is highly interconnected under physiological circumstances, and the brain function is managed by a spatially distributed network rather than by the spontaneous activities of local regions (12, 13).”
BackgroundVisuomotor control in mice and primates
Tehovnik, E. J., Froudarakis, E., Scala, F., Smirnakis, S. M., Patel, S. S., & Tolias, A. S. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.08.009 · Cited by 12
Yang, M., Niu, H.-T., Jiang, H. S., et al. (2022) · Medicine · doi:10.1097/md.0000000000031394 · Cited by 11
“The cerebellum contains nearly 80% of all intracranial neurons, which implies that it is likely to play a vital functional role, possibly as a coordinating center.[19] Future advances in diagnostic technology may allow subtle neurological sequelae of tonsillar injury to be detected.”
BackgroundZhao, X., Yang, A., Zhang, Z.-C., Yang, Y., & Zhao, X. (2023) · Briefings in Bioinformatics · doi:10.1093/bib/bbad060 · Cited by 10
Mitoma, H., Kakei, S., Tanaka, H., & Manto, M. U. (2023) · Biology · doi:10.3390/biology12111435 · Cited by 13
“…cerebellum, although the cerebellum only forms about 10% of the brain mass [40,41 Furthermore, the GCs form the largest Redundancy . billion cells [42 About 60–80% of the 85–100 billion neurons of the brain are located in the cerebellum, although the cerebellum only forms about 10% of the brain…”
BackgroundThe Theory of Neural Cognition Applied to Robotics
Touzet, C. F. (2015) · International Journal of Advanced Robotic Systems · doi:10.5772/60693 · Cited by 11
“the human brain mass, even if it holds only 19% of all neurons [1].”
BackgroundMathematical Modeling of Extinction of Inhomogeneous Populations
Karev, G. P., & Kareva, I. (2016) · Bulletin of Mathematical Biology · doi:10.1007/s11538-016-0166-0 · Cited by 12
Therapeutic Potentials of Synapses after Traumatic Brain Injury: A Comprehensive Review
Wen, Z., Li, D., Shen, M., & Chen, G. (2017) · Neural Plasticity · doi:10.1155/2017/4296075 · Cited by 11
“It is under estimation that more than 10(11) neurons exist in the adult human brain, and each of them is constructed with 10(4) synapses [12].”
BackgroundPeretz, Y., Kohl, A., Slutsky, N., Komlos, M., Varshavsky, S., & Sela‐Donenfeld, D. (2018) · Scientific Reports · doi:10.1038/s41598-018-32203-w · Cited by 11
Liu, M., Ylanko, J., Weekman, E., Beckett, T. L., Andrews, D. F., & McLaurin, J. (2019) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2019.108424 · Cited by 11
Will recent advances in AI result in a paradigm shift in Astrobiology and SETI?
Gale, J., Wandel, A., & Hill, H. (2019) · International Journal of Astrobiology · doi:10.1017/s1473550419000260 · Cited by 14
Presynaptically silent synapses are modulated by the density of surrounding astrocytes.
Oyabu, K., Takeda, K., Kawano, H., Kubota, K., Watanabe, T., Harata, N., Katsurabayashi, S., & Iwasaki, K. (2020) · Journal of Pharmacological Sciences · doi:10.1016/j.jphs.2020.07.009 · Cited by 7
The PINK1-Mediated Crosstalk between Neural Cells and the Underlying Link to Parkinson’s Disease
Leites, E. P., & Morais, V. A. (2021) · Cells · doi:10.3390/cells10061395 · Cited by 12
Human Association Cortex: Expanded, Untethered, Neotenous, and Plastic
Krienen, F. M., & Buckner, R. L. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-820584-6.00035-0 · Cited by 10
Neural representations of the sense of self
Klemm, W. R. (2011) · Advances in Cognitive Psychology · doi:10.2478/v10053-008-0084-2 · Cited by 11
Qing, B., & Vliet, K. J. V. (2016) · Molecular Systems Design & Engineering · doi:10.1039/c6me00051g · Cited by 11
Exploring Brain Connectivity in Insect Model Systems of Learning and Memory
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“One theory is that a larger cerebral cortex allows more neurons and connections, leading to more extraordinary cognitive ability [3, 4].”
Exploring the metabolomic profile of cerebellum after exposure to acute stress
Iliou, A., Vlaikou, A., Nußbaumer, M., Benaki, D. C., Mikros, E., Gikas, E. E., & Filiou, M. D. (2021) · Stress · doi:10.1080/10253890.2021.1973997 · Cited by 10
“In particular, the cerebellum is a neuron-rich brain region (Herculano-Houzel, 2009) which contributes to several nonmotor functions (Moreno-Rius, 2018, 2019, 2019) and has well-documented interactions with key brain regions involved in stress responses, including hippocampus (Rochefort et al.,…”
BackgroundMacrophage calcium reporter mice reveal immune cell communication in vitro and in vivo
Taghdiri, N., Calcagno, D. M., Fu, Z., Huang, K., Köhler, R. H., Weissleder, R., Coleman, T. P., & King, K. R. (2021) · Cell Reports Methods · doi:10.1016/j.crmeth.2021.100132 · Cited by 10
“Substantial efforts have been devoted to advancing the experimental toolkit for discovery of communication between electrically excitable cells such as neurons; however, considerably less is known about the functional connectedness of the far more numerous and diverse ‘‘non-excitable’’ cells (Bianconi et al., 2013; He…”
BackgroundVulnerability of Human Cerebellar Neurons to Degeneration in Ataxia-Causing Channelopathies
Bushart, D. D., & Shakkottai, V. G. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.908569 · Cited by 10
“However, a comparative study has shown that human cerebellar neuron density is higher than would be predicted by scaling to other mammals (HerculanoHouzel et al., 2015), a relationship that is also seen in human cortical neurons (Herculano-Houzel, 2009).”
BackgroundCerebellar imaging with diffusion magnetic resonance imaging: approaches, challenges, and potential
Lundell, H., & Steele, C. J. (2024) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2024.101353 · Cited by 10
“The cerebellum takes up a small proportion of total human brain volume, yet contains ∼ 1600 cm 2 of cortical surface (78% of that of the neocortex) [1] and ∼ 50% of the brain’s neurons [2].”
Divjak, D., Testini, I., & Milin, P. (2024) · Morphology · doi:10.1007/s11525-024-09423-0 · Cited by 10
“Although storing information at the lexical level goes against the principle of economy of description, often coveted by linguists, it does not violate what we know about the storage capacity of the brain (see Herculano-Houzel, 2009 for a critical assessment of existing proposals).”
Empowering Chemical AI Through Systems Chemistry
Gentili, P. L., & Stano, P. (2024) · ChemSystemsChem · doi:10.1002/syst.202400054 · Cited by 11
CRISPR/Cas: a potential gene-editing tool in the nervous system
Gao, Y., Gao, K., & Yang, H. (2020) · Cell Regeneration · doi:10.1186/s13619-020-00044-6 · Cited by 11
“Besides, neuron typing also is a hard question because the number of neurons is very large, about 100 billion neurons in the humans brain (Herculano-Houzel 2009).”
BackgroundToxicity associated with gadolinium-based contrast-enhanced examinations
Lattanzio, S. M. (2021) · AIMS Biophysics · doi:10.3934/biophy.2021015 · Cited by 10
Circular RNAs in renal cell carcinoma: from mechanistic to clinical perspective
Huang, C., Sarafraz, P. E., Enayati, P., Mamaghani, E. M., Babakhanzadeh, E., & Nazari, M. (2023) · Cancer Cell International · doi:10.1186/s12935-023-03128-w · Cited by 12
“In a microarray study of ccRCC tissue, a circRNA signature involving circNOX4, circRHOBTB3, and circEGLN3 was identified as a potential prognostic bio-marker for cancer-specific, recurrence-free, and overall survival, with a reference of [104].”
BackgroundGeorgiev, D. D. (2023) · Life · doi:10.3390/life14010048 · Cited by 13
“The average brain mass of the human ( Homo sapiens ) is 1508 g [95], which is larger than macaque monkey ( Macaca mulatta ) 88 g [96], dog ( Canis familiaris ) 71 g [97], cat ( Felis catus ) 25 g [96], and rat ( Rattus norvegicus ) 1.8 g [95], but is smaller than African elephant ( Loxodonta…”
BackgroundInfluentialScalable communications for a million-core neural processing architecture
Patterson, C., Garside, J. D., Painkras, E., Temple, S., Plana, L. A., Navaridas, J., Sharp, T., & Furber, S. B. (2012) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2012.01.016 · Cited by 12
“…29 January 2012 Available online xxxx Keywords: GALS HPC Network-on-Chip Neuromorphic Parallel architecture Low-power a b s t r a c t The design of a new high-performance computing platform to model biological neural networks requires scalable, layered communications in both hardware and software.”
BackgroundThe grammar of mammalian brain capacity
Rodriguez, A., & Granger, R. (2016) · Theoretical Computer Science · doi:10.1016/j.tcs.2016.03.021 · Cited by 11
Fritzsch, B., Elliott, K. L., Pavlínková, G., Duncan, J. S., Hansen, M. R., & Kersigo, J. (2019) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2019.00059 · Cited by 10
Flexible Nanocellulose Gated Pseudo-Diode for Neuromorphic Electronic Applications
Wang, W. S., Ren, Z. Y., Shi, Z. W., Xiao, H., Zeng, Y. H., & Zhu, L. Q. (2022) · IEEE Electron Device Letters · doi:10.1109/led.2022.3160494 · Cited by 10
“As comparison, our brain can deal with unstructural, real-time cognitive tasks with low energy consumption of ∼ 20W [1].”
BackgroundSpiNNaker: Fault tolerance in a power- and area- constrained large-scale neuromimetic architecture
Navaridas, J., Furber, S. B., Garside, J. D., Jin, X., Khan, M. M., Lester, D., Luján, M., Miguel-Alonso, J., Painkras, E., Patterson, C., et al. (2013) · Parallel Computing · doi:10.1016/j.parco.2013.09.001 · Cited by 10
“To put this number in context some small primates have brains with slightly lower neuron counts whereas the human brain has roughly 86 times this number [3].”
BackgroundVector cognition and neurobiology
Vinauger, C. (2019) · Current Opinion in Insect Science · doi:10.1016/j.cois.2019.04.002 · Cited by 10
How IQ depends on the running mode of brain network?
Cao, L., & Liu, Z. (2020) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/5.0008289 · Cited by 10
A unique cellular scaling rule in the avian auditory system
Corfield, J. R., Long, B., Krilow, J. M., WYLIE, D. R. W., & Iwaniuk, A. N. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1064-1 · Cited by 10
Evolution of the Primate Brain
Falk, D. (2014) · Springer eBooks · doi:10.1007/978-3-642-39979-4_37 · Cited by 10
Of mice and men: Dendritic architecture differentiates human from mice neuronal networksPreprint
Kanari, L., Shi, Y., Arnaudon, A., Barros-Zulaica, N., Benavides‐Piccione, R., Coggan, J. S., DeFelipe, J., Hess, K. P., Mansvelder, H. D., Mertens, E. J., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.11.557170 · Cited by 10
Human Evolution beyond Biology and Culture
van den Bergh, J. C. J. M. (2018) · Cambridge University Press eBooks · doi:10.1017/9781108564922 · Cited by 47
Nisar, K. S., Farman, M. T., Batool, M., & Xu, C. (2024) · Cogent Engineering · doi:10.1080/23311916.2023.2301161 · Cited by 9
“Brains are dynamic systems that exhibit several non-linear levels (Herculano-Houzel, 2009).”
The cerebellum: the ‘little’ brain and its big role
Melka, N., Pszczolińska, A., Klejbor, I., & Moryś, J. (2024) · Folia Morphologica · doi:10.5603/fm.93251 · Cited by 11
“The results obtained also help in understanding why the cerebellum, accounting for only 10% of the total brain volume, has over 50% of the total number of neurons in the central nervous system [48, 102, 108].”
Bartos, L. M., Kunte, S. T., Wagner, S., Beumers, P., Schaefer, R., Zatcepin, A., Li, Y., Griessl, M., Hoermann, L., Wind-Mark, K., et al. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120860 · Cited by 14
Enhancing automatic sleep stage classification with cerebellar EEG and machine learning techniques
Wang, M., Guan, J., Tong, S., Wang, J., Yikai, Y., Yicheng, Z., Yi, Z., Xiaoyu, Y., Li, X., Yang, J., et al. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.109515 · Cited by 9
Umair, M., Ahmad, J. E., Alasbali, N. A., et al. (2025) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2025.1569828 · Cited by 9
“The human brain contains billions of neuron, which coordinate various neurological activities (Herculano-Houzel, 2009).”
Human Brain Inspired Artificial Intelligence Neural Networks
Theotokis, P. (2025) · Journal of Integrative Neuroscience · doi:10.31083/jin26684 · Cited by 17
“Interestingly, although the human brain contains approximately 86 billion neurons [5], brain size alone doesn’t dictate intelligence.”
The Era beyond Eisemann et al. (1984): Insect Pain in the 21st Century
Barrett, M., & Fischer, B. (2025) · The Quarterly Review of Biology · doi:10.1086/737365 · Cited by 10
Kennedy, H., Wianny, F., & Dehay, C. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.09.012 · Cited by 11
“The enlarged human and non-human primate neocortex contains a significantly greater number of neurons than that found in brains of equivalent size in other orders (rodents, cetaceans, ungulates) as well as a higher neuronal density [1].”
BackgroundMessner, W. (2023) · International Business Review · doi:10.1016/j.ibusrev.2023.102201 · Cited by 11
The Cerebellum in Autism: Pathogenic or an Anatomical Beacon?
Ziats, M. N., & Rennert, O. M. (2013) · The Cerebellum · doi:10.1007/s12311-013-0483-x · Cited by 9
“The cerebellum has the highest cell density of any brain area, approximately four times that of the neocortex [4, 5], and cerebellar Purkinje cells have more synapses than any other cell type by orders of magnitude [6].”
Dynamic segmentation using a novel neuromorphic polarimetric imaging system
Surovich, M., Shrestha, S., Douard, N., et al. (2017) · IEEE International Conference on Imaging Systems and Techniques (IST) · doi:10.1109/ist.2017.8261439 · Cited by 9
Lamotrigine Induces Tremor among Epilepsy Patients Probably via Cerebellar Pathways
Kovács, A., Farkas, Z., Kelemen, A., Juhos, V., Szűcs, A., & Kamondi, A. (2019) · The Tohoku Journal of Experimental Medicine · doi:10.1620/tjem.248.273 · Cited by 9
Operations research methods for estimating the population size of neuron types
Attili, S. M., Mackesey, S., & Ascoli, G. A. (2020) · Annals of Operations Research · doi:10.1007/s10479-020-03542-7 · Cited by 7
“The human brain contains around 100 billion neurons (Herculano-Houzel 2009) and the rodent brain contains around 100 million neurons (Herculano-Houzel et al. 2011).”
BackgroundLaforest, K., Peele, E. E., & Yopak, K. E. (2020) · Brain Behavior and Evolution · doi:10.1159/000511304 · Cited by 9
“1159/000511304 Although it has been highly debated [e.g., Deaner et al., 2007; Sol et al., 2007; Herculano-Houzel, 2009], it is a common suggestion that a larger brain may confer a cognitive advantage.”
BackgroundInfluentialBigler, E. D. (2021) · Journal of Pediatric Neuropsychology · doi:10.1007/s40817-021-00099-6 · Cited by 10
“What does mm precision imply for MR metrics assessing GM in studying brain development? It has been estimated that the human brain is comprised of ~80–100 billion neurons (Herculano-Houzel, 2009). Insel and Landis (2013) estimate that within a single, 1-mm(3) MRI voxel, it contains “... 80,000 neurons and 4.5 million…”
BackgroundInfluentialWearable Fabric μ Brain Enabling On-Garment Edge-Based Sensor Data Processing
Cleary, F., Srisa‐an, W., Gil, B., Kesavan, J., Engel, T., Henshall, D. C., & Balasubramaniam, S. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3207912 · Cited by 9
“Taking inspiration from the working functions of the human brain and the nervous system, emerging neuromorphic computing architectures are attempting to replicate more efficient brain-inspired NNs to develop realistic spiking NNs (SNNs) that emulates the firing process of neurons [7].”
BackgroundAdeno-associated virus vector hydrogel formulations for brain cancer gene therapy applications
Słyk, Ż., Wrzesień, R., Barszcz, S., Gawrychowski, K., & Małecki, M. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.116061 · Cited by 12
Hwang, S., Eun, K., Yoon, J. D., Kim, H., & Hyun, S. (2018) · Journal of Veterinary Science · doi:10.4142/jvs.2018.19.3.434 · Cited by 9
“Thus, the pig is a better animal model than the mouse for research in human brain diseases [14,16].”
BackgroundThe Use of Stem Cell-Derived Neurons for Understanding Development and Disease of the Cerebellum
Nayler, S., & Becker, E. B. E. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00646 · Cited by 9
Design, challenges, and the potential of transcriptomics to understand social behavior
Lim, W. K., & Mathuru, A. S. (2020) · Current Zoology · doi:10.1093/cz/zoaa007 · Cited by 11
BCI Controlled Quadcopter Using SVM and Recursive LSE Implemented on ROS
Chhabra, K., Mathur, P., & Baths, V. (2020) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc42975.2020.9282898 · Cited by 9
“Our brain is estimated to have 100 billion neurons [3].”
BackgroundEvolutionary Perspectives on Mind, Brain, and Education
Howard‐Jones, P. A. (2014) · Mind Brain and Education · doi:10.1111/mbe.12041 · Cited by 11
“The work of Hurculano-Houzel and her colleagues reveals an order-specific relationship between neuron density and brain size (Herculano-Houzel, 2012; Herculano-Houzel et al., 2011; Sarko, Catania, Leitch, Kaas, & Herculano-Houzel, 2009).”
BackgroundOn the nature and evolution of the human mind
Hofman, M. A. (2019) · Progress in brain research · doi:10.1016/bs.pbr.2019.03.016 · Cited by 9
Knoflacher, M. (2024) · Springer eBooks · doi:10.1007/978-3-662-69423-7_6 · Cited by 9
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“[2] S.”
Demirci, N., & Holland, M. A. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad462 · Cited by 9
Self‐Selective Crossbar Synapse Array with n‐ZnO/p‐NiOx/n‐ZnO Structure for Neuromorphic Computing
Chung, P. H., Ryu, J., Seo, D., Sahu, D. P., Song, M., Kim, J., & Yoon, T. (2024) · Advanced Electronic Materials · doi:10.1002/aelm.202400347 · Cited by 8
Assessing the Utility of Organoid Intelligence: Scientific and Ethical Perspectives
Nestor, M. W., & Wilson, R. L. (2025) · Organoids · doi:10.3390/organoids4020009 · Cited by 11
“This narrative frequently overlooks the limited anatomical, synaptic, and functional sophistication of these constructs as compared to intact brains [23].”
Early and widespread cerebellar engagement during hippocampal seizures and interictal discharges
Streng, M. L., Kottke, B. W., Wasserman, E. M., Zecker, L. S., Luong, L., Kodandaramaiah, S. B., Ebner, T. J., & Krook-Magnuson, E. I. (2025) · Neurobiology of Disease · doi:10.1016/j.nbd.2025.106991 · Cited by 9
“It is estimated that the human cerebellum contains more than half of all the neurons in the entire central nervous system (Andersen et al., 1992), and across species has ~3.6 times as many neurons as the cerebral cortex (Herculano-Houzel, 2009).”
InfluentialHauser, R. A., Matias, D. P., & Rawlings, B. R. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2025.1572863 · Cited by 9
“There are approximately 1 million neurons in each eye, 100 + million in the spinal cord, and 100–500 million neurons in the enteric nervous system, 0.1% the number of neurons in the brain (100 billion) (25, 26).”
InfluentialDose-response relationships in transcranial brain stimulation: Physics, physiology and mechanism
Soleimani, G., Alekseichuk, I., Aurup, C., Bergmann, T. O., Bestmann, S., Beynel, L., Evans, C., Frӧhlich, F., Ghobadi‐Azbari, P., Hanlon, C. A., et al. (2026) · Brain stimulation · doi:10.1016/j.brs.2026.103067 · Cited by 13
Frontal mechanisms underlying primate calls recognition by humans
Ceravolo, L., Debracque, C., Pool, E. R., Gruber, T., & Grandjean, D. (2023) · Cerebral Cortex Communications · doi:10.1093/texcom/tgad019 · Cited by 12
“Despite a larger and more folded brain compared to 61 other great ape species, human neuroanatomical traits are mainly considered to belong to a continuum 62 in the primate brain evolution (11, 19).”
Lim, R. Y., Ang, K. K., Chew, E., & Guan, C. (2023) · Brain Sciences · doi:10.3390/brainsci13111584 · Cited by 8
Rey, A. (2024) · L’Année psychologique · doi:10.3917/anpsy1.242.0165 · Cited by 7
Developmental profiles of GFAP-positive astrocytes in sheep cerebellum
Salouci, M., Antoine, N., Sook, M. K. S. A., Piret, J., Mignon, Y., Kirschvink, N. A., & Gabriel, A. (2014) · Veterinary Research Communications · doi:10.1007/s11259-014-9614-1 · Cited by 8
The Chemical Imbalance Hypothesis: An Evaluation of the Evidence
Schultz, W. (2015) · Ethical Human Psychology and Psychiatry · doi:10.1891/1559-4343.17.1.60 · Cited by 8
“The brain has around 86 billion neurons (Herculano-Houzel, 2009).”
BackgroundSeeking Synthesis: The Integrative Problem in Understanding Language and Its Evolution
Dale, R. A. C., Kello, C. T., & Schoenemann, P. T. (2016) · Topics in Cognitive Science · doi:10.1111/tops.12199 · Cited by 8
“It is important to note that there is some debate about our body-relative brain size (Herculano-Houzel, 2009).”
BackgroundThe possible impact of cervical stenosis on cephalad neuronal dysfunction
Khachatryan, T., & Robinson, J. S. (2018) · Medical Hypotheses · doi:10.1016/j.mehy.2018.06.008 · Cited by 7
Brain Cytoplasmic RNAs in Neurons: From Biosynthesis to Function
Lee, Y., Lee, H., Kim, M., & Shin, H. (2020) · Biomolecules · doi:10.3390/biom10020313 · Cited by 9
Hirsch, G., Dirodi, M., Xu, R., Reitner, P., & Guger, C. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-50726-8_30 · Cited by 9
Kılıç, T. (2019) · IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) · doi:10.1109/iccicc46617.2019.9146063 · Cited by 8
A neuronal wiring platform through microridges for rationally engineered neural circuits
Wu, Y. C., Wang, M., Wang, Y., Yang, H., Qi, H., Seicol, B. J., Xie, R., & Guo, L. (2020) · APL Bioengineering · doi:10.1063/5.0025921 · Cited by 8
Gandikota, M. C., & Schwarz, J. M. (2021) · New Journal of Physics · doi:10.1088/1367-2630/ac03ce · Cited by 8
Mohammed, M., Ivica, N., Bjartmarz, H., Thorbergsson, P. T., Pettersson, L. M. E., Thelin, J., & Schouenborg, J. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2021.109399 · Cited by 9
“However, to be useful in humans, having approximately a 1000-fold larger brain volume than a rat (Defelipe, 2011; Herculano-Houzel, 2009), the problem of limited capacity for charge delivery from individual microelectrodes needs to be addressed.”
Interruptions and Medication Errors
Clark, A. P., & Flanders, S. A. (2012) · Clinical Nurse Specialist · doi:10.1097/nur.0b013e31825e5be4 · Cited by 8
Kaiser, M. (2020) · The MIT Press eBooks · doi:10.7551/mitpress/11980.001.0001 · Cited by 25
Self-rectifying-based memristors for neuromorphic computing
Huang, W., Hang, P., Yang, D., et al. (2022) · 中国科学通报:英文版 · doi:10.1016/j.scib.2022.05.008 · Cited by 8
Brain fingerprinting: A promising future application for predicting mental illness
Hermens, D. F., Russo, C., Shan, Z., & Lagopoulos, J. (2023) · Futures · doi:10.1016/j.futures.2023.103211 · Cited by 7
Yarkova, E. S., Grigor’eva, E. V., Medvedev, S. P., Pavlova, S. V., Zakian, S. M., & Malakhova, A. A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms25010327 · Cited by 10
“Astrocytes are the most common type of glial cells in the human brain [21].”
BackgroundLost highway(s): barriers to postnatal cortical neurogenesis and implications for brain repair
Akhtar, A. A., & Breunig, J. J. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00216 · Cited by 11
Critical analysis on the present methods for brain volume measurements in multiple sclerosis
Fragoso, Y. D., Wille, P. R., Gonçalves, M. V. M., & Brooks, J. B. B. (2017) · Arquivos de Neuro-Psiquiatria · doi:10.1590/0004-282x20170072 · Cited by 8
3d virtual histology of neuronal tissue by propagation-based x-ray phase-contrast tomography
Töpperwien, M. (2018) · Göttingen series in x-ray physics · doi:10.17875/gup2018-1096 · Cited by 8
Brain atlas of the African mole‐ratFukomys anselli
Dollas, A., Oelschläger, H., Begall, S., Burda, H., & Malkemper, E. P. (2019) · The Journal of Comparative Neurology · doi:10.1002/cne.24647 · Cited by 7
“06 g (mean ± SD, n = 6) it is about two thirds the size of a rat brain (body mass: 300–500 g; Herculano-Houzel, 2009), but more than double the size of a naked mole-rat brain (body mass: 40–60 g; Kverková et al.”
Background
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
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