Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization

Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata

研究成果: Conference contribution

抜粋

Sleep is an essential process for the survival of animals. However, its phenomenon is poorly understood. To understand the phenomenon of sleep, the analysis should be made from the activities of a large number of cortical neurons. Calcium imaging is a recently developed technique that can record a large number of neurons simultaneously, however, it has a disadvantage of low time resolution. In this paper, we aim to discover phenomena which characterize sleep/wake states from calcium imaging data. We made an assumption that groups of neurons become active simultaneously and the neuronal activities of groups differ between sleep and wake states. We used non-negative matrix factorization (NMF) to identify those groups and their neuronal activities in time from calcium imaging data. NMF was used because neural activity can be expressed by the sum of individual neuronal activity and fluorescence intensity data are always positive values. We found that there are certain groups of neurons that behave differently between sleep and wake states.

元の言語English
ホスト出版物のタイトルArtificial Neural Networks and Machine Learning – ICANN 2019
ホスト出版物のサブタイトルTheoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings
編集者Igor V. Tetko, Pavel Karpov, Fabian Theis, Vera Kurková
出版者Springer-Verlag
ページ102-113
ページ数12
ISBN(印刷物)9783030304867
DOI
出版物ステータスPublished - 2019 1 1
イベント28th International Conference on Artificial Neural Networks, ICANN 2019 - Munich, Germany
継続期間: 2019 9 172019 9 19

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11727 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

Conference28th International Conference on Artificial Neural Networks, ICANN 2019
Germany
Munich
期間19/9/1719/9/19

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • これを引用

    Nagayama, M., Aritake, T., Hino, H., Kanda, T., Miyazaki, T., Yanagisawa, M., Akaho, S., & Murata, N. (2019). Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization. : I. V. Tetko, P. Karpov, F. Theis, & V. Kurková (版), Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings (pp. 102-113). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 11727 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-030-30487-4_8