Neocortex: a lean mean memory storage machine

Connectivity patterns of neocortex exhibit several odd properties: for example, most neighboring excitatory neurons do not connect, which seems curiously wasteful. Brunel's elegant theoretical treatment reveals how optimal information storage can naturally impose these peculiar properties.

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Bibliographic Details
Published inNature neuroscience Vol. 19; no. 5; pp. 643 - 644
Main Authors Mizusaki, Beatriz E P, Stepanyants, Armen, Chklovskii, Dmitri B, Sjöström, P Jesper
Format Journal Article
LanguageEnglish
Published New York Nature Publishing Group US 01.05.2016
Nature Publishing Group
Subjects
631/378/116/1925
631/378/1595/2618
Animal Genetics and Genomics
Animals
Behavioral Sciences
Biological Techniques
Biomedicine
Computational Biology - methods
Hippocampus - growth & development
Humans
Information storage
Medical examination
Memory
Memory - physiology
Memory consolidation
Neocortex
Neocortex - growth & development
Neural circuitry
Neural networks
Neurobiology
Neurosciences
news-and-views
Observations
Brazil
New York
Canada
Rio Grande do Sul Brazil
Montreal Quebec Canada
United States > US
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Summary:Connectivity patterns of neocortex exhibit several odd properties: for example, most neighboring excitatory neurons do not connect, which seems curiously wasteful. Brunel's elegant theoretical treatment reveals how optimal information storage can naturally impose these peculiar properties.
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ISSN:1097-6256
1546-1726
DOI:10.1038/nn.4292