Synchrony is stubborn in feedforward cortical networks

Idan Segev

doi:10.1038/nn0603-543

Synchrony is stubborn in feedforward cortical networks

Idan Segev^*

^*Corresponding author for this work

Alexander Silberman Institute of Life Sciences

Research output: Contribution to journal › Short survey › peer-review

21 Scopus citations

Abstract

Action potential propagation has been studied extensively in model networks. Now a new paper describes an innovative method of combining neuronal recordings with real-time neuronal modeling to create multi-layer feedforward networks. Neurons in deep layers tend to fire in synchrony, suggesting such networks may code sensory information by groups of neurons that fire together.

Original language	English
Pages (from-to)	543-544
Number of pages	2
Journal	Nature Neuroscience
Volume	6
Issue number	6
DOIs	https://doi.org/10.1038/nn0603-543
State	Published - 1 Jun 2003

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Synchrony is stubborn in feedforward cortical networks

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