Dynamic switching of neural codes in networks with gap junctions.

Full Abstract

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.

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Author information

Author/s: Katori, Yuichi (Y); Masuda, Naoki (N); Aihara, Kazuyuki (K);

Affiliation: Aihara Complexity Modelling Project, ERATO, JST, 3-23-5 Uehara, Shibuya-ku, Tokyo 151-0064, Japan. katori(-atsign-)sat.t.u-tokyo.ac.jp

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal: Neural networks : the official journal of the International Neural Network Society (Neural Netw), published in United States. (Language: eng)

Reference: 2006-Dec; vol 19 (issue 10) : pp 1463-6

Dates: Created 2006/12/01; Completed 2007/02/20;

PMID: 16887330, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Action Potentials - physiology
Animals
Gap Junctions - physiology
Nerve Net - physiology

Nerve Net - physiology
Neural Networks (Computer)
Neurons - physiology
Nonlinear Dynamics

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