Analog and digital codes in the brain

Yasuhiro Mochizuki*, Shigeru Shinomoto

*この研究の対応する著者

研究成果: Article査読

15 被引用数 (Scopus)

抄録

It has long been debated whether information in the brain is coded at the rate of neuronal spiking or at the precise timing of single spikes. Although this issue is essential to the understanding of neural signal processing, it is not easily resolved because the two mechanisms are not mutually exclusive. We suggest revising this coding issue so that one hypothesis is uniquely selected for a given spike train. To this end, we decide whether the spike train is likely to transmit a continuously varying analog signal or switching between active and inactive states. The coding hypothesis is selected by comparing the likelihood estimates yielded by empirical Bayes and hidden Markov models on individual data. The analysis method is applicable to generic event sequences, such as earthquakes, machine noises, and human communications, and enhances the gain in decoding signals and infers underlying activities.

本文言語English
論文番号022705
ジャーナルPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
89
2
DOI
出版ステータスPublished - 2014 2月 4
外部発表はい

ASJC Scopus subject areas

  • 統計物理学および非線形物理学
  • 統計学および確率
  • 凝縮系物理学

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