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.,…”
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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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Items 301–400 of 1,776
Genomic trade-offs: are autism and schizophrenia the steep price of the human brain?
Sikela, J. M., & Quick, V. B. S. (2018) · Human Genetics · doi:10.1007/s00439-017-1865-9 · Cited by 44
“…is increasing evidence that primate brain evolution has taken a unique mechanistic path: as the brain expanded from monkeys to apes to humans, neuron number increased, while, unlike in nonprimate mammals, neuron size was kept constant (Herculano-Houzel et al. 2007; Herculano-Houzel 2009, 2012b).”
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“In vertebrate studies, unbiased stereological methods [38] yield cell numbers comparable to those generated using the IF [39].”
MethodKuipers, R. S., Joordens, J. C. A., & Muskiet, F. A. J. (2012) · Nutrition Research Reviews · doi:10.1017/s0954422412000017 · Cited by 43
“primate brain, except for its size((96)), which basically”
BackgroundInfluentialSuperconducting optoelectronic single-photon synapses
Khan, S., Primavera, B. A., Chiles, J., McCaughan, A. N., Buckley, S. M., Tait, A. N., Lita, A. E., Biesecker, J. P., Fox, A. E., Olaya, D. I., et al. (2022) · Nature Electronics · doi:10.1038/s41928-022-00840-9 · Cited by 49
Calabrese, E., Badea, A., Coe, C. L., Lubach, G. R., Styner, M. A., & Johnson, G. A. (2014) · Human Brain Mapping · doi:10.1002/hbm.22578 · Cited by 39
“The macaque brain is about 17-fold smaller than the human brain by volume [Herculano-Houzel, 2009], so voxels must be 17-fold smaller to achieve comparable structural resolution.”
BackgroundRemembering to Forget: A Dual Role for Sleep Oscillations in Memory Consolidation and Forgetting
Langille, J. J. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00071 · Cited by 50
“However, this, as well as the active competition scenario, is unlikely given that the cortex has nearly twenty billion neurons (Herculano-Houzel, 2009), each of which has thousands of synapses (Hawkins and Ahmed, 2016) serving as potential memory sites, making significant overlap of new and…”
BackgroundWhat Is the “Relevant” Amyloid β42 Concentration?
Raskatov, J. A. (2019) · ChemBioChem · doi:10.1002/cbic.201900097 · Cited by 47
Roman, E., Weininger, J., Lim, B., Roman, M., Barry, D., Tierney, P., O’Hanlon, E., Levins, K., O’Keane, V., & Roddy, D. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02069-8 · Cited by 44
“…there is an abundance of animal studies on the DDCS connections, there has been just one study that has physically traced the connections in humans (Marburg 1944), as such it is not clear whether many of these animal networks map accurately onto the larger human forebrain (Herculano-Houzel 2009).”
BackgroundPrimate Neuronal Connections are Sparse as Compared to Mouse
Wildenberg, G. A., Rosen, M. C., Lundell, J., Paukner, D., Freedman, D. J., & Kasthuri, N. (2020) · Cell Reports · doi:10.1016/j.celrep.2021.109709 · Cited by 49
Why bother using non-human primate models of cognitive disorders in translational research?
Camus, S. M. J., Ko, W. K. D., Pioli, E. Y., & Bézard, E. (2015) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2015.06.012 · Cited by 45
Güntürkün, O., Pusch, R., & Rose, J. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.11.002 · Cited by 48
Image-Based Profiling of Synaptic Connectivity in Primary Neuronal Cell Culture
Verstraelen, P., Dyck, M. V., Verschuuren, M., Kashikar, N. D., Nuydens, R., Timmermans, J., & Vos, W. H. D. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00389 · Cited by 48
“With more than 100 billion neurons, even more glial cells, and trillions of synapses (Herculano-Houzel, 2009) organized into a dense, three-dimensional network, the brain does not offer a facile access route to quickly measure synaptic connectivity.”
BackgroundMoroz, L. L. (2018) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.8b00100 · Cited by 41
Zella, M. A. S., Metzdorf, J., Ostendorf, F., Maass, F., Muhlack, S., Gold, R., Haghikia, A., & Tönges, L. (2019) · Cells · doi:10.3390/cells8020105 · Cited by 43
Makris, N., Tsintou, M., & Dalamagkas, K. (2019) · Neural Regeneration Research · doi:10.4103/1673-5374.266048 · Cited by 42
“Figure reprinted from “The human brain in numbers: a linearly scaled-up primate brain” by Herculano-Houzel (2009); licensed under CC BY 2.0.”
BackgroundInfluentialBrain Disorders and Chemical Pollutants: A Gap Junction Link?
Mesnil, M., Defamie, N., Naus, C. C. G., & Sarrouilhe, D. (2020) · Biomolecules · doi:10.3390/biom11010051 · Cited by 45
“Even if glial cells are smaller than neurons, they are 10 times more numerous and constitute at least 50% of the total brain cells [137,138].”
BackgroundLeung, A., Cohen, D., van Swinderen, B., & Tsuchiya, N. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008722 · Cited by 42
The evolution of language and thought.
LIEBERMAN, P. H. (2016) · PubMed · doi:10.4436/jass.94029 · Cited by 51
Rejdak, K., Sienkiewicz‐Jarosz, H., Bieńkowski, P., & Álvarez, A. (2023) · Medicinal Research Reviews · doi:10.1002/med.21960 · Cited by 44
Libé‐Philippot, B., Lejeune, A., Wierda, K. D. B., Louros, N. N., Erkol, E., Vlaeminck, I., Beckers, S., Gaspariunaite, V., Bilheu, A., Konstantoulea, K., et al. (2022) · Cell · doi:10.1016/j.cell.2023.11.028 · Cited by 44
Continuity between fetal and neonatal neurobehavior
Stanojević, M., Zaputović, S., & Bošnjak, A. P. (2012) · Seminars in Fetal and Neonatal Medicine · doi:10.1016/j.siny.2012.06.006 · Cited by 42
An ontological approach to describing neurons and their relationships
Hamilton, D. J., Shepherd, G. M., Martone, M. E., & Ascoli, G. A. (2012) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2012.00015 · Cited by 42
“There are estimated to be 1011 neurons (Azevedo et al., 2009; Herculano-Houzel, 2009) in the human brain with 1015 connections (Sporns, 2011).”
BackgroundInfluentialThe Vessels Shaping Mental Health or Illness
Baruah, J., & Vasudevan, A. (2019) · The Open Neurology Journal · doi:10.2174/1874205x01913010001 · Cited by 39
What can i do around here? Deep functional scene understanding for cognitive robots
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“The complex and deep layered structure of human brains [24], [25] may be a key factor to the human perceptual capability.”
BackgroundSingle-cell epigenomics and spatiotemporal transcriptomics reveal human cerebellar development
Zhong, S., Wang, M., Huang, L., Chen, Y., Ge, Y., Zhang, J., Shi, Y., Dong, H., Zhou, X., Wang, B., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-43568-6 · Cited by 40
“The cerebellum, which only represents 10% of the brain mass,contains 80% of all brain neurons 10,11 .”
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“…for small Afrotherians also apply to the elephant brain, and of testing the hypothesis that the human brain has more neurons in the cerebral cortex than the elephant brain, which we have proposed to be the basis for the remarkable cognitive abilities of the human brain (Herculano-Houzel, 2009).”
BackgroundSelf-citationLee, K. M., Hawi, Z., Parkington, H. C., Parish, C. L., Kumar, P. V., Polo, J. M., Bellgrove, M. A., & Tong, J. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0495-0 · Cited by 43
Davis, J. M., Searles, V. B., Anderson, N., Keeney, J., Raznahan, A., Horwood, L. J., Fergusson, D. M., Kennedy, M. A., Giedd, J. N., & Sikela, J. M. (2014) · Human Genetics · doi:10.1007/s00439-014-1489-2 · Cited by 39
“A mechanism of differential brain size involving differences in neuron number underlying IQ test performance would also be consistent with the features of primate brain expansion, which are that an increase in cerebral size within this lineage is almost linearly proportional to neuron number (unlike any other lineages…”
Shaheen, R., Hashem, A., Abdel‐Salam, G. M. H., Alfadhli, F., Ewida, N., & Alkuraya, F. S. (2016) · Human Genetics · doi:10.1007/s00439-016-1722-2 · Cited by 40
Yu, Q., & He, Z. (2017) · Scientific Reports · doi:10.1038/s41598-017-04356-7 · Cited by 39
Kirkcaldie, M. (2011) · Elsevier eBooks · doi:10.1016/b978-0-12-369497-3.10004-4 · Cited by 45
Intrauterine Viral Infections: Impact of Inflammation on Fetal Neurodevelopment
Ganguli, S., & Chavali, P. L. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.771557 · Cited by 45
“In the fetal brain, about 86 billion neurons must be generated in a spatiotemporally coordinated manner, with any deviations resulting in developmental defects and cognitive impairments (Azevedo et al., 2009; Herculano-Houzel, 2009; Kang et al., 2011).”
BackgroundCytoarchitecture, areas, and neuron numbers of the Etruscan Shrew cortex
Naumann, R. K., Anjum, F., Roth-Alpermann, C., & Brecht, M. (2012) · The Journal of Comparative Neurology · doi:10.1002/cne.23053 · Cited by 39
Evidence of Chaos in Electroencephalogram Signatures of Human Performance: A Systematic Review
Kargarnovin, S., Hernandez, C., Farahani, F. V., & Karwowski, W. (2023) · Brain Sciences · doi:10.3390/brainsci13050813 · Cited by 40
Nassef, A. M., Olabi, A. G., Rezk, H., & Abdelkareem, M. A. (2023) · Sustainability · doi:10.3390/su15097648 · Cited by 46
Neurogenesis in primates versus rodents and the value of non-human primate models
Zhang, R., Quan, H., Wang, Y., & Luo, F. (2023) · National Science Review · doi:10.1093/nsr/nwad248 · Cited by 47
“Furthermore, the number and variety of neurons in the cerebral cortex of non-human primates and humans far exceed those found in mice [ 21 , 71 , 72 ].”
BackgroundShamul, J. G., Wang, Z., Gong, H., Ou, W., White, A. M., Garcia, D. P. M., Gu, S., Clyne, A. M., Quiñones‐Hinojosa, A., & He, X. (2024) · Nature Biomedical Engineering · doi:10.1038/s41551-024-01250-2 · Cited by 43
The case for DUF1220 domain dosage as a primary contributor to anthropoid brain expansion
Keeney, J., Dumas, L., & Sikela, J. M. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00427 · Cited by 38
“As has recently been reported, neuronal scaling, and density appear to vary by taxonomic order, with primate brain evolution taking its own unique path (Herculano-Houzel, 2009).”
BackgroundWhole mouse brain connectomics
Johnson, G. A., Wang, N., Anderson, R. J., Chen, M., Cofer, G. P., Gee, J. C., Pratson, F., Tustison, N. J., & WHITE, L. E. (2018) · The Journal of Comparative Neurology · doi:10.1002/cne.24560 · Cited by 36
“The mouse brain contains ~71 million neurons (Herculano-Houzel, 2009).”
BackgroundInfluentialThe Convergence of Machine and Biological Intelligence
Wu, Z., Reddy, R., Pan, G., Zheng, N., Verschure, P. F. M. J., Zhang, Q., Zheng, X., Príncipe, J. C., Kreilinger, A., Rohm, M., et al. (2013) · IEEE Intelligent Systems · doi:10.1109/mis.2013.137 · Cited by 40
Multimodal neural probes for combined optogenetics and electrophysiology
Tian, H., Xu, K., Zou, L., & Fang, Y. Z. (2021) · iScience · doi:10.1016/j.isci.2021.103612 · Cited by 41
“Human central nervous system consists of billions of neurons that are of various types and interconnected through trillions of connections to form a multitude of neural networks, making the brain a powerful information processor (Herculano-Houzel, 2009).”
BackgroundDeNeRD: high-throughput detection of neurons for brain-wide analysis with deep learning
Iqbal, A., Sheikh, A., & Karayannis, T. (2019) · Scientific Reports · doi:10.1038/s41598-019-50137-9 · Cited by 34
Endoplasmic reticulum and Golgi stress in microcephaly
Passemard, S., Perez, F., Gressèns, P., & Ghouzzi, V. E. (2019) · Cell Stress · doi:10.15698/cst2019.12.206 · Cited by 38
“In humans, the cortex is thought to comprise more than 20 billion neurons [4], most of which are produced during the first two trimesters of”
BackgroundMenzel, M., Reuter, J. A., Gräßel, D., Huwer, M., Schlömer, P., Amunts, K., & Axer, M. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117952 · Cited by 38
“INTRODUCTION The human brain consists of about 100 billion neurons [1].”
Hess, J., Radonjić, N. V., Patak, J., Glatt, S. J., & Faraone, S. V. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-00974-2 · Cited by 37
Interrogating structural plasticity among synaptic engrams
Choi, D. I., & Kaang, B. (2022) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2022.102552 · Cited by 40
Evolution of genetic mechanisms regulating cortical neurogenesis
Espinós, A., Ortuño, E. F., Negri, E., & Borrell, V. (2022) · Developmental Neurobiology · doi:10.1002/dneu.22891 · Cited by 38
Sweet Taste Receptor Signaling Network: Possible Implication for Cognitive Functioning
Welcome, M. O., Mastorakis, N. E., & Pereverzev, V. A. (2015) · Neurology Research International · doi:10.1155/2015/606479 · Cited by 39
“The metabolic role of astrocytes in brain has been reviewed in our previous work [60].”
Taking Insect Immunity to the Single-Cell Level
Merkling, S. H., & Lambrechts, L. (2020) · Trends in Immunology · doi:10.1016/j.it.2020.01.002 · Cited by 36
Implantable Micro-Light-Emitting Diode (µLED)-based optogenetic interfaces toward human applications
Lee, J. H., Lee, S., Kim, D., & Lee, K. J. (2022) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2022.114399 · Cited by 43
Bioelectronic Medicine: a multidisciplinary roadmap from biophysics to precision therapies
González‐González, M. A., Conde, S. V., Latorre, R., Thébault, S. C., Pratelli, M., Spitzer, N. C., Verkhratsky, A., Tremblay, M., Akçora, C. G., Hernandez-Reynoso, A. G., et al. (2024) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2024.1321872 · Cited by 47
“As a brief overview of the context in which synaptic transmission is found, it has been estimated that one neuron can receive contacts from up to thousands of other cells and similarly, any one neuron can contact up to thousands of postsynaptic cells (Herculano-Houzel, 2009).”
BackgroundTransformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art
Rekavandi, A. M., Rashidi, S., Boussaïd, F., Hoefs, S., Akbaş, E., & Bennamoun, M. (2025) · ACM Computing Surveys · doi:10.1145/3758090 · Cited by 112
“Despite the burgeoning parameter counts, now comparable to those of the human brain [44], performance in SOD still falls significantly short of human capabilities.”
Circular RNAs—one of the enigmas of the brain
Filippenkov, I. B., Kalinichenko, E. O., Limborska, S. A., & Dergunova, L. V. (2016) · Neurogenetics · doi:10.1007/s10048-016-0490-4 · Cited by 37
Igarashi, J., YAMAURA, H., & Yamazaki, T. (2019) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2019.00071 · Cited by 36
“The human brain consists of about ten to the 11th power of neurons and ten to the fifteenth power of synapses (Herculano-Houzel, 2009).”
BackgroundInfluentialGluA4 facilitates cerebellar expansion coding and enables associative memory formation
Kita, K., Albergaria, C., Machado, A. S., Carey, M. R., Müller, M., & Delvendahl, I. (2021) · eLife · doi:10.7554/elife.65152 · Cited by 33
“GCs receive sparse input from only on average four MFs, and vastly outnumber afferent MFs, with an expansion ratio of ~200:1 (Herculano-Houzel, 2009).”
BackgroundHua, J. P. Y., Abram, S. V., & Ford, J. M. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.1069488 · Cited by 37
“The cerebellum contains over 50–80% of the brain’s neurons while only accounting for 10% of the brain’s volume (47, 48).”
BackgroundEvaluating the adaptive‐filter model of the cerebellum
Dean, P., & Porrill, J. (2011) · The Journal of Physiology · doi:10.1113/jphysiol.2010.201574 · Cited by 36
“One feature is the enormous proliferation of granule cells, which are estimated to constitute ∼80% of all neurons in the human brain (Herculano-Houzel, 2009).”
BackgroundFluorescent sensors for neuronal signaling
O’Banion, C. P., & Yasuda, R. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.02.007 · Cited by 36
Estrogen-dependent hippocampal wiring as a risk factor for age-related dementia in women
Torromino, G., Maggi, A. C., & Leonibus, E. D. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101895 · Cited by 35
Autio, J. A., Zhu, Q., Li, X., Glasser, M. F., Schwiedrzik, C. M., Fair, D. A., Zimmermann, J., Yacoub, E. S., Menon, R. S., Essen, D. C. V., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118082 · Cited by 39
“2 billion neurons, respectively) (Herculano-Houzel, 2009).”
InfluentialHigh-Dimensional Brain: A Tool for Encoding and Rapid Learning of Memories by Single Neurons
Tyukin, I., Gorban, A. N., Calvo, C., Makarova, J., & Makarov, V. A. (2018) · Figshare · Cited by 36
Hu, L., Li, L., Chang, K., Lin, X., Huang, P., & Zhang, S. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202106015 · Cited by 36
Biomemristors-based synaptic devices for artificial intelligence applications
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Morshed, B. I. (2014) · Journal of Bioengineering and Biomedical Sciences · doi:10.4172/2155-9538.1000128 · Cited by 36
“The human brain consists of 86 billion of neurons that communicate information through electro-chemical action potential, an endogenic bioelectric phenomenon, and preserves these information in 1014-1015 synapses as increased connectivity through these induced processes [1].”
BackgroundMethodHayden, M. R. (2019) · Preprints.org · doi:10.20944/preprints201907.0265.v2 · Cited by 36
The brain on time: links between development and neurodegeneration
Shabani, K., & Hassan, B. A. (2023) · Development · doi:10.1242/dev.200397 · Cited by 39
Turquoise killifish: A natural model of age-dependent brain degeneration
de Bakker, D. E. M., & Valenzano, D. R. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.102019 · Cited by 36
Curious and contradictory roles of glial connexins and pannexins in epilepsy
Carlen, P. L. (2012) · Brain Research · doi:10.1016/j.brainres.2012.06.059 · Cited by 36
“Extracellular Ke is normally 2.5–3.5 mM, rising up to 12 mM in vivo or in vitro during a seizure (Heinemann et al., 1977, 1986) and up to 60 mM in spreading depression and ischemia (Somjen, 2002; Leis et al., 2005; Fröhlich et al., 2008).”
InfluentialEvolutionary Specializations of Human Association Cortex
Mars, R. B., Passingham, R. E., Neubert, F.-X., Verhagen, L., & Sallet, J. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-804042-3.00118-4 · Cited by 34
Permutation-based time irreversibility in epileptic electroencephalograms
Yao, W., Dai, J., Perc, M., et al. (2020) · Nonlinear Dynamics · doi:10.1007/s11071-020-05506-9 · Cited by 35
“The brain, a collection of vast numbers of neurons and glial cells, is a typical complex system [1] and”
BackgroundTranslational Block in Stroke: A Constructive and “Out-of-the-Box” Reappraisal
Lourbopoulos, A. I., Mourouzis, I. S., Xinaris, C., Zerva, N., Filippakis, K., Pavlopoulos, A., & Pantos, C. I. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.652403 · Cited by 40
“Moreover, at the phenotypic level, we also need to consider the differences in the size and complexity of rodent and human brains (Herculano-Houzel, 2009).”
BackgroundCanozo, F. J. G., Zuo, Z. C., Martin, J. F., & Samee, M. A. H. (2021) · Cell Systems · doi:10.1016/j.cels.2021.09.004 · Cited by 34
A Comparative Perspective on the Cerebello-Cerebral System and Its Link to Cognition
Magielse, N., Heuer, K., Toro, R., Schutter, D. J. L. G., & Valk, S. L. (2022) · The Cerebellum · doi:10.1007/s12311-022-01495-0 · Cited by 36
“The larger PFC in primates with at the very extreme humans [7, 9, 48, 51] could be sufficient to support emergent cognitive abilities through sheer neuron number and increased connectivity [7, 48], increased modular organization [132–135], and specializations of functional areas [79, 136].”
BackgroundInfluentialYurov, Y. B., Vorsanova, S. G., Ia, D., Kolotii, A. D., Soloviev, I. V., & Iourov, I. Y. (2017) · Current Genomics · doi:10.2174/1389202918666170717154340 · Cited by 34
van Huis, A. (2019) · Journal of Insects as Food and Feed · doi:10.3920/jiff2019.x004 · Cited by 34
“, 2006) and 16 billion (Herculano-Houzel, 2009) for humans.”
BackgroundEngineered neural circuits for modeling brain physiology and neuropathology
Bang, S., Hwang, K. S., Jeong, S., Cho, I., Choi, N., Kim, J., & Kim, H. N. (2021) · Acta Biomaterialia · doi:10.1016/j.actbio.2021.06.024 · Cited by 32
Xin, H., Chopp, M., Shen, L., Zhang, R. L., Zhang, L., Zhang, Z. G., & Li, Y. (2013) · Neuroscience Letters · doi:10.1016/j.neulet.2013.02.046 · Cited by 33
“The adult human brain is made up of approximately 100 billion neurons and trillions of glia [11].”
BackgroundTong, S., Zhong, J., Chen, X., Deng, X., Huang, J., Zhang, Y., Qin, M., Li, Z., Cheng, H., Zhang, W., et al. (2023) · ACS Nano · doi:10.1021/acsnano.2c10724 · Cited by 33
ATP driven clathrin dependent entry of carbon nanospheres prefer cells with glucose receptors
Selvi, R. B., Chatterjee, S., Jagadeesan, D., Chaturbedy, P., Suma, B. S., Eswaramoorthy, M., & Kundu, T. K. (2012) · Journal of Nanobiotechnology · doi:10.1186/1477-3155-10-35 · Cited by 33
“We have observed an increased preference of CSP towards glial cells which could be correlated with higher population of glial cell lineages in the cerebral cortex of the brain than in the cerebellum [27,30,31].”
BackgroundBoroujeni, M. E., Peirouvi, T., Shaerzadeh, F., Ahmadiani, A., Abdollahifar, M., & Aliaghaei, A. (2019) · Addiction Biology · doi:10.1111/adb.12707 · Cited by 32
“com/journal The cerebellum is a compactly organized structure, located at hindbrain with a wide variety of functions in locomotion, emotional memory, planning, and perception.(6) Moreover, it receives several neuromodulatory projections such as serotonin, norepinephrine, dopamine, and acetylcholine which subsequently…”
BackgroundAbnormal Degree Centrality Associated With Cognitive Dysfunctions in Early Bipolar Disorder
Deng, W., Zhang, B., Zou, W., Zhang, X., Cheng, X., Guan, L., Lin, Y., Lao, G., Ye, B., Li, X., et al. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00140 · Cited by 33
On Tools Making Minds: an Archaeological Perspective on Human Cognitive Evolution
Overmann, K. A., & Wynn, T. (2019) · Journal of Cognition and Culture · doi:10.1163/15685373-12340047 · Cited by 33
“As a consequence, human cognitive evolution has been conceived as a story of brains becoming bigger and more capable over time (Bruner, Manzi, & Arsuaga, 2003; Herculano-Houzel, 2009; Herculano-Houzel, Manger, & Kaas, 2014; Kirk, 2006; Rightmire, 2004).”
BackgroundStraub, I., Witter, L., Eshra, A., Hoidis, M., Byczkowicz, N., Maas, S., Delvendahl, I., Dorgans, K., Savier, E. L., Bechmann, I., et al. (2020) · eLife · doi:10.7554/elife.51771 · Cited by 32
“Taking into account the large number of cerebellar GCs in the brain (Herculano-Houzel, 2009; Williams and Herrup, 1988), a significant reduction in the number of GCs could represent an evolutionary advantage to minimize neuronal maintenance energy (Howarth et al., 2012; Isler and van Schaik, 2006).”
BackgroundKakkar, S., Kwapiński, W., Howard, C. A., & Kumar, K. V. (2021) · Education for Chemical Engineers · doi:10.1016/j.ece.2021.04.003 · Cited by 36
“A human brain contains several billion neurons (Herculano-Houzel, 2009).”
BackgroundLee, J., Kim, S. W., & Kim, K.-T. (2022) · Cells · doi:10.3390/cells11121902 · Cited by 34
Wagenführ, L., Meyer, A. K., Marrone, L., & Storch, A. (2015) · Stem Cells and Development · doi:10.1089/scd.2015.0214 · Cited by 34
“T he central nervous system originates from a small number of cells proliferating during early development from the neural plate [1], which reaches a number of hundreds of billions neurons in higher mammals [2].”
Kamali, A., Nami, M., Yahyavi, S., Saadi, Z. K., & Mohammadi, A. (2018) · The Cerebellum · doi:10.1007/s12311-018-0967-9 · Cited by 33
The Future of AI in Education: 13 Things We Can Do to Minimize the DamagePreprint
Hamilton, A., Wiliam, D., & Hattie, J. (2023) · EdArXiv (OSF Preprints) · doi:10.35542/osf.io/372vr · Cited by 45
Clinical translation of nanomedicines for brain diseases: Current challenges and future directions
Wang, G., Wang, N., Xia, X., Ismail, M., & Shi, B. (2026) · Journal of Controlled Release · doi:10.1016/j.jconrel.2025.114426 · Cited by 33
A structural connectivity atlas of limbic brainstem nuclei
Levinson, S. R., Miller, M., Iftekhar, A., Justo, M., Arriola, D., Wei, W., Hazany, S., Avecillas-Chasin, J. M., Kuhn, T. P., Horn, A., et al. (2023) · Frontiers in Neuroimaging · doi:10.3389/fnimg.2022.1009399 · Cited by 35
“Yet, what it lacks in size it makes up for in complexity and a disproportional influence on processes ranging from autonomic functions to arousal and consciousness (Azevedo et al., 2009; Herculano-Houzel, 2009).”
BackgroundNeural circuit changes in neurological disorders: Evidence from in vivo two-photon imaging
Xiong, H., Tang, F., Guo, Y., Xu, R., & Peng, L. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101933 · Cited by 35
“billion neurons in the human brain (Azevedo et al., 2009; Herculano-Houzel, 2009), coupled up through trillions of synapses in the central nervous system, and clarification of the structure and function of neurons are critical to understand how brain works.”
The Cerebellum, THC, and Cannabis Addiction: Findings from Animal and Human Studies
Moreno-Rius, J. (2019) · The Cerebellum · doi:10.1007/s12311-018-0993-7 · Cited by 31
Sánchez-León, C. A., Cordones, I., Ammann, C., Ausín, J. M., Gómez‐Climent, M. Á., Carretero‐Guillén, A., Campos, G. S.-G., Gruart, A., Delgado-Garcia, J. M., Cheron, G. A., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-82364-4 · Cited by 30
Gams, M., & Kolenik, T. (2021) · Electronics · doi:10.3390/electronics10040514 · Cited by 32
“In addition, there are also approximately 100 billion neurons in our brain [71].”
BackgroundNine decades of electrocorticography: A comparison between epidural and subdural recordings
Branco, M. P., Geukes, S. H., Aarnoutse, E. J., Ramsey, N. F., & Vansteensel, M. J. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.15941 · Cited by 38
“Although humans ’ and NHPs ’ brains can have similar features (Herculano-Houzel, 2009; Jerison, 1973), caution should be taken when directly comparing results, especially because the thickness and nature of the dura can vary considerably (Galashan et al., 2011; Kinaci et al., 2020).”
BackgroundOn the Evolving Biology of Language
Hillert, D. G. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01796 · Cited by 33
High-Dimensional Brain: A Tool for Encoding and Rapid Learning of Memories by Single Neurons
Tyukin, I., Gorban, A. N., Calvo, C., Makarova, J., & Makarov, V. A. (2018) · Bulletin of Mathematical Biology · doi:10.1007/s11538-018-0415-5 · Cited by 39
“Indirectly this hypothesis is supported by the significant difference among species in the number of neurons in the cortex (Herculano-Houzel 2009) and the hippocampus (Andersen et al.”
Result
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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