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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Bibliographische Detailangaben
Veröffentlicht in:	Nature neuroscience 2016-05, Vol.19 (5), p.643-644
Hauptverfasser:	Mizusaki, Beatriz E P, Stepanyants, Armen, Chklovskii, Dmitri B, Sjöström, P Jesper
Format:	Artikel
Sprache:	eng
Schlagworte:	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
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Beschreibung
Zusammenfassung:	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.
ISSN:	1097-6256 1546-1726
DOI:	10.1038/nn.4292