Selective population rate coding: A possible computational role of gamma oscillations in selective attention

Naoki Masuda*

*この研究の対応する著者

研究成果: Letter査読

18 被引用数 (Scopus)

抄録

Selective attention is often accompanied by gamma oscillations in local field potentials and spike field coherence in brain areas related to visual, motor, and cognitive information processing. Gamma oscillations are implicated to play an important role in, for example, visual tasks including object search, shape perception, and speed detection. However, the mechanism by which gamma oscillations enhance cognitive and behavioral performance of attentive subjects is still elusive. Using feedforward fanin networks composed of spiking neurons, we examine a possible role for gamma oscillations in selective attention and population rate coding of external stimuli. We implement the concept proposed by Fries (2005) that under dynamic stimuli, neural populations effectively communicate with each other only when there is a good phase relationship among associated gamma oscillations. We show that the downstream neural population selects a specific dynamic stimulus received by an upstream population and represents it by population rate coding. The encoded stimulus is the one for which gamma rhythm in the corresponding upstream population is resonant with the downstream gamma rhythm. The proposed role for gamma oscillations in stimulus selection is to enable top-down control, a neural version of time division multiple access used in communication engineering.

本文言語English
ページ(範囲)3335-3362
ページ数28
ジャーナルNeural Computation
21
12
DOI
出版ステータスPublished - 2009 12月
外部発表はい

ASJC Scopus subject areas

  • 人文科学(その他)
  • 認知神経科学

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