Bridging Rate Coding and Temporal Spike Coding by Effect of Noise

Naoki Masuda*, Kazuyuki Aihara

*この研究の対応する著者

研究成果: Article査読

1 被引用数 (Scopus)

抄録

It is controversial whether temporal spike coding or rate coding is dominant in the information processing of the brain. We show by a two-layered neural network model with noise that, when noise is small, cortical neurons fire synchronously and intervals of synchronous firing robustly encode the signal information, but that the neurons desynchronize with moderately strong noise to encode waveforms of the signal more accurately. Further increase of noise just deteriorates the encoding. A positive role of noise in the brain is suggested in a meaning different from stochastic resonance, coherence resonance, and deterministic chaos.

本文言語English
ページ(範囲)4
ページ数1
ジャーナルPhysical Review Letters
88
24
DOI
出版ステータスPublished - 2002
外部発表はい

ASJC Scopus subject areas

  • 物理学および天文学(全般)

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