@article{871059eb0e8442afbf587205a9cd8457,
title = "Dynamic switching of neural codes in networks with gap junctions",
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.",
keywords = "Chaotic itinerancy, Gap junction, Mutual information, Population rate coding, Synchrony, Temporal coding",
author = "Yuichi Katori and Naoki Masuda and Kazuyuki Aihara",
note = "Funding Information: One of the authors (KA) would like to thank K. Doya, H. Fujii, Y. Hirata, M. Kawato, E. Lang, S. Nara, N. Schweighofer, H. Suzuki, I. Tsuda, and M. Tsukada for their stimulating discussions on neural coding. This research is partially supported by Grant-in-Aid for Scientific Research on Priority Areas–System study on higher-order brain functions–from MEXT of Japan (17022012) and Special Postdoctoral Researchers Program of RIKEN.",
year = "2006",
month = dec,
doi = "10.1016/j.neunet.2006.04.003",
language = "English",
volume = "19",
pages = "1463--1466",
journal = "Neural Networks",
issn = "0893-6080",
publisher = "Elsevier Limited",
number = "10",
}