The DOI matches its Crossref record; 58 of the 59 references it cites were found in a registry or an index.
Why is Brain Size so Important:Design Problems and Solutions as Neocortex Gets Biggeror Smaller
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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 (77, 91, 100-106, 120).”
From The evolution of self-control. (2014) · cites this paper as [102]
Citations
Cites
Segregation of Form, Color, Movement, and Depth: Anatomy, Physiology, and Perception
Livingstone, M. S., & Hubel, D. H. (1988) · Science · doi:10.1126/science.3283936 · Cited by 3,358
Specification of Cerebral Cortical Areas
Rakic, P. (1988) · Science · doi:10.1126/science.3291116 · Cited by 3,127 · cited 1×
“Proportionally, humans have less primary visual cortex than rats and mice ( Rakic, 1988 ).”
BackgroundScaling: Why is Animal Size so Important?
Schmidt-Nielsen, K. (1984) · doi:10.1017/cbo9781139167826 · Cited by 2,677
Scaling Why is animal size so important?
Schmidt‐Nielsen, K. (1984) · Cited by 2,654
EVOLUTION OF THE BRAIN AND INTELLIGENCE
Radinsky, L., & Jerison, H. J. (1975) · Evolution · doi:10.2307/2407154 · Cited by 1,982
Jacob, F. (1977) · Science · doi:10.1126/science.860134 · Cited by 1,726
A tension-based theory of morphogenesis and compact wiring in the central nervous system
Essen, D. C. V. (1997) · Nature · doi:10.1038/385313a0 · Cited by 1,668
Linked Regularities in the Development and Evolution of Mammalian Brains
Finlay, B. L., & Darlington, R. B. (1995) · Science · doi:10.1126/science.7777856 · Cited by 1,217
Columnar specificity of intrinsic horizontal and corticocortical connections in cat visual cortex
Gilbert, C., & Wiesel, T. (1989) · Journal of Neuroscience · doi:10.1523/jneurosci.09-07-02432.1989 · Cited by 1,166
Hubel, D. H., & Wiesel, T. N. (1974) · The Journal of Comparative Neurology · doi:10.1002/cne.901580305 · Cited by 901
Research works printed but not linked: 3
- Allman, J. M., 1999: Evolving Brains, W.H. Freeman and Co., New York.
- Brodmann, K., 1909: Vergleichende Lokalisationslehre der Grosshirnrinde, Barth, Leipzig.
- Kaas, J. H., 1987: The organization and evolution of neocortex, in S. P. Wise (ed.), Higher Brain Functions, John Wiley & Sons, Inc., New York, pp. 347–378.
Cited by
Sorted by citations
Items 201–226 of 226
Allometric Scaling of Brain, Brain Components and Neurons with Body Size of Social Bees
Gowda, V. (2016) · UA Campus Repository (The University of Arizona) · Cited by 1
Modularity as a Solution to Spatial Interference in Neural Networks
Soldal, K. V. (2012) · NORA - Norwegian Open Research Archives · Cited by 1
Comparative Cognitive Neuroscience and Dorsal and Ventral Streams in Primates
Kaas, J. H., Qi, H., & Stepniewska, I. (2023) · doi:10.1002/9781119860914.ch33 · Cited by 1
Self-citationRoyo, J., Orset, T., Catani, M., Pouget, P., & de Schotten, M. T. (2024) · Research Square · doi:10.21203/rs.3.rs-4772053/v1 · Cited by 1
Spectral analysis of the cerebral cortex complexity
Rabiei, H. (2017) · theses.fr (ABES) · doi:10.70675/60e76522zb107z485cz8c04zbcf09f3a61b5 · Cited by 1
Towards comparative theoretical neuroanatomy of the cerebral cortexPreprint
Karbowski, J. (2004) · arXiv (Cornell University) · doi:10.48550/arxiv.q-bio/0404001
Funzionamento cognitivo e variabili non cognitive
Lang, M. (2011) · BOA (University of Milano-Bicocca) · doi:10.1421/35161
Morphometric analysis of the cerebral cortex in the developing baboon
Dossajee, H., & Hassanali, J. (2004) · European Journal of Anatomy
Pokhariyal, G. P., & Hassanali, J. (2011)
Mathematical Models For Human And Baboon Brain Parameters
Pokhariyal, G. P. (2013) · University of Nairobi Research Archive (University of Nairobi)
Machine learning as a statistical tool in schizophrenia research
Lawyer, G. (2008) · NORA - Norwegian Open Research Archives
The neurobiological basis of inter-individual variability in visual perception
Song, C. (2016) · UCL Discovery (University College London)
Analysis of Peculiar Miniaturization-Related Structural Features in Different Groups of Animals
Polilov, A. A. (2016) · Springer eBooks · doi:10.1007/978-3-319-39499-2_12
Kaas, J. H. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.02154-4
Self-citationIndividual differences in cortical constraints of visual abilities
Cook, E. K. (2016)
A simple model for detailed visual cortex maps predicts fixed hypercolumn sizesPreprint
Weigand, M., & Cuntz, H. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.01.277319
Number of autonomous agents in a neural networkPreprint
Kak, S. C. (2021) · doi:10.36227/techrxiv.16943194.v1
Evolution of the Cerebral Cortex
Semendeferi, K., & Horton, C. F. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00192-5
Number of autonomous agents in a neural networkPreprint
Kak, S. C. (2021) · doi:10.36227/techrxiv.16943194
Hackett, T. A., & Kaas, J. H. (2009) · doi:10.1002/9780470478509.neubb001013
Self-citationSchleiermacherean Panentheism and Ecology
Lee, G. (2023) · Ecology and ethics · doi:10.1007/978-3-031-40040-7_6
Nwonuma, C. O., Olajide, B. O., Afolabi, B., Omoniwa, B. P., Nwikwe, D. C., Alejolowo, O. O., Elebiyo, T. C., Kayode, O. T., Ojo, O. A., Olasoju, T. I., et al. (2024) · International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG) · doi:10.1109/seb4sdg60871.2024.10629750
How does brain size influence the network properties of the cortex?
Gamanut, A. R. (2016) · theses.fr (ABES) · doi:10.70675/95831b16zc60cz4b46za557z4c90134677ea
Cortical representations of natural sounds probed with large-scale imaging in the ferret
Landemard, A. (2022) · theses.fr (ABES) · doi:10.70675/64b3a149zd9ccz4950za3ffz899741820735 · Cited by 1
Guerra, L. M. M., Morais, P. L. A. D. G., Rocha, G. S., Guerra, M. G., Costa, A. V., Júnior, E. S. D. N., Engelberth, R. C. G. J., Cavalcante, J. W., Manger, P. R., & Cavalcanti, J. R. L. D. P. (2026) · The Anatomical Record · doi:10.1002/ar.70267
Metadata
- Authors
- Kaas, J. H.
- Affiliations
- Vanderbilt University (US)
- Corresponding author
- Kaas, Jon H.
- ORCID
- 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
- Licence
- 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
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › 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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