Cited by 226Neural dynamics and brain functionNeural Networks and ApplicationsPrimate Behavior and Ecology

Why is Brain Size so Important:Design Problems and Solutions as Neocortex Gets Biggeror Smaller

Kaas, Jon H.·2000·Brain and Mind

Integrity signals

Registry

Crossref · 10.1023/a:1010028405318

Cites

58 of 58 references verified0 citation errors · 0 not checkable

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  • The cortical reorganization hypothesis suggests that selection for absolutely larger brains, and concomitant cortical reorganization, was the predominant mechanism supporting cognitive evolution.

    “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 [102]

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Authors
Kaas, J. H.
Affiliations
Vanderbilt University (US)
Corresponding author
Kaas, Jon H.
Venue
Brain and Mind
Published
2000-04
Volume
1
Issue
1
Pages
7-23
ISSN
  • 1389-1987 (ISSN-L)
  • 1573-3300
OpenAlex
W1519102471
Cited by
225
References
59
Citations by year
2026: 1 · 2025: 2 · 2024: 5 · 2023: 3 · 2022: 5 · 2021: 9 · 2020: 8 · 2019: 9 · 2018: 5 · 2017: 9 · 2016: 25 · 2015: 12 · 2014: 10 · 2013: 16 · 2012: 11
FWCI
2.50
Type
journal article
Language
en
Open access
closed
Locations
Brain and Mind (publishedVersion)
Funders
  • John D. and Catherine T. MacArthur Foundation
  • Center for Advanced Study in the Behavioral Sciences, Stanford University
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
  • Social Sciences › Psychology › Social Psychology › Primate Behavior and Ecology
Keywords
brain size, neocortex, brain scaling, neuron size, neuronal connectivity, brain modularity, cortical columns, cortical regions, mammalian brain evolution

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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