Dynamic switching of neural codes in networks with gap junctions

Yuichi Katori*, Naoki Masuda, Kazuyuki Aihara

*この研究の対応する著者

研究成果: Article査読

3 被引用数 (Scopus)

抄録

Population rate coding and temporal coding are common neural codes. Recent studies suggest that these two codes may be alternatively used in one neural system. Based on the fact that there are massive gap junctions in the brain, we explore how this switching behavior may be related to neural codes in networks of neurons connected by gap junctions. First, we show that under time-varying inputs, such neural networks show switching between synchronous and asynchronous states. Then, we quantify network dynamics by three mutual information measures to show that population rate coding carries more information in asynchronous states and temporal coding does so in synchronous states.

本文言語English
ページ(範囲)1463-1466
ページ数4
ジャーナルNeural Networks
19
10
DOI
出版ステータスPublished - 2006 12
外部発表はい

ASJC Scopus subject areas

  • 認知神経科学
  • 人工知能

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