論文

査読有り 最終著者 責任著者
2020年12月1日

A spike analysis method for characterizing neurons based on phase locking and scaling to the interval between two behavioral events

Journal of Neurophysiology
  • Masanori Kawabata
  • ,
  • Shogo Soma
  • ,
  • Akiko Saiki-Ishikawa
  • ,
  • Satoshi Nonomura
  • ,
  • Junichi Yoshida
  • ,
  • Alain Ríos
  • ,
  • Yutaka Sakai
  • ,
  • Yoshikazu Isomura

124
6
開始ページ
1923
終了ページ
1941
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1152/jn.00200.2020
出版者・発行元
American Physiological Society

Phase-Scaling analysis is a novel technique to unbiasedly characterize the temporal dependency of functional neuron activity on two behavioral events and objectively determine the latency and form of the activity change. This powerful analysis can uncover several classes of latently functioning neurons that have thus far been overlooked, which may participate differently in intermediate processes of a brain function. The Phase-Scaling analysis will yield profound insights into neural mechanisms for processing internal information.

リンク情報
DOI
https://doi.org/10.1152/jn.00200.2020
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/33085554
URL
https://journals.physiology.org/doi/pdf/10.1152/jn.00200.2020
ID情報
  • DOI : 10.1152/jn.00200.2020
  • ISSN : 0022-3077
  • eISSN : 1522-1598
  • PubMed ID : 33085554

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