論文

査読有り
2016年3月

An Analysis of Nonlinear Dynamics underlying Neural Activity Related to Auditory Induction in the Rat Auditory Cortex

Neuroscience
  • M. Noto
  • ,
  • J. Nishikawa
  • ,
  • T. Tateno

318
開始ページ
58
終了ページ
83
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.neuroscience.2015.12.060
出版者・発行元
PERGAMON-ELSEVIER SCIENCE LTD

A sound interrupted by silence is perceived as discontinuous. However, when high-intensity noise is inserted during the silence, the missing sound may be perceptually restored and be heard as uninterrupted. This illusory phenomenon is called auditory induction. Recent electrophysiological studies have revealed that auditory induction is associated with the primary auditory cortex (A1). Although experimental evidence has been accumulating, the neural mechanisms underlying auditory induction in A1 neurons are poorly understood. To elucidate this, we used both experimental and computational approaches. First, using an optical imaging method, we characterized population responses across auditory cortical fields to sound and identified five subfields in rats. Next, we examined neural population activity related to auditory induction with high temporal and spatial resolution in the rat auditory cortex (AC), including the A1 and several other AC subfields. Our imaging results showed that tone-burst stimuli interrupted by a silent gap elicited early phasic responses to the first tone and similar or smaller responses to the second tone following the gap. In contrast, tone stimuli interrupted by broadband noise (BN), considered to cause auditory induction, considerably suppressed or eliminated responses to the tone following the noise. Additionally, tone-burst stimuli that were interrupted by notched noise centered at the tone frequency, which is considered to decrease the strength of auditory induction, partially restored the second responses from the suppression caused by BN. To phenomenologically mimic the neural population activity in the A1 and thus investigate the mechanisms underlying auditory induction, we constructed a computational model from the periphery through the AC, including a nonlinear dynamical system. The computational model successively reproduced some of the above-mentioned experimental results. Therefore, our results suggest that a nonlinear, self-exciting system is a key element for qualitatively reproducing A1 population activity and to understand the underlying mechanisms. (C) 2016 IBRO. Published by Elsevier Ltd. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.neuroscience.2015.12.060
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/26772432
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000369602700006&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.neuroscience.2015.12.060
  • ISSN : 0306-4522
  • eISSN : 1873-7544
  • PubMed ID : 26772432
  • Web of Science ID : WOS:000369602700006

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