Cited by 21Visual perception and processing mechanismsPrimate Behavior and EcologyNeural dynamics and brain function

Predicting Functional Properties of Visual Cortex from an Evolutionary Scaling Law

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Stevens, Charles F.·2002·Neuron

Abstract

The number of neurons in the primary visual cortex (V1) is, across primate species, related to the number of neurons in the visual thalamus (the lateral geniculate nucleus [LGN]) by a power law with an exponent of 3/2. This evolutionary scaling law is explained by a simple relation according to which the fineness of resolution in cortex is related to the number of neurons in the area of cortex used to process the information from a single point of light (the point-spread area). The same theory provides a link between two functional properties of the visual cortex, the areal cortical magnification factor (ACMF) and the receptive field (RF) area.

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Crossref · 10.1016/s0896-6273(02)00902-9

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References 14 · Cited by 21

Authors
Stevens, C. F.
Affiliations
Salk Institute for Biological Studies (US)
Corresponding author
Stevens, Charles F.
Venue
Neuron
Publisher
Elsevier BV
Published
2002-09
Volume
36
Issue
1
Pages
139-142
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2018069189
Cited by
21
References
14
Citations by year
2025: 1 · 2024: 1 · 2023: 1 · 2021: 2 · 2020: 1 · 2019: 2 · 2015: 2 · 2013: 1 · 2012: 1
FWCI
0.50
Type
journal article
Language
en
Open access
Locations
  • Neuron (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Social Sciences › Psychology › Social Psychology › Primate Behavior and Ecology
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
primary visual cortex, lateral geniculate nucleus, power law, cortical magnification factor, primate visual system, neuron number
MeSH terms
Animals, Brain Mapping, Callithrix, Cebus, Biological Evolution, Galago, Geniculate Bodies, Neurons, Predictive Value of Tests, Primates, Visual Cortex, Visual Fields, Visual Pathways, Visual Perception

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