TY - GEN
T1 - Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization
AU - Nagayama, Mizuo
AU - Aritake, Toshimitsu
AU - Hino, Hideitsu
AU - Kanda, Takeshi
AU - Miyazaki, Takehiro
AU - Yanagisawa, Masashi
AU - Akaho, Shotaro
AU - Murata, Noboru
N1 - Funding Information:
This work was supported by Grants-in-Aid for Scientific Research (KAKENHI), Japan Society for the Promotion of Science (JSPS) (Grant Number 16K18358 to T.K.; 26220207 to T.K. and M.Y.; 19K12111 to H.H; 17H06095 to M.Y.); World Premier International Research Center Initiative (WPI), the Ministry of Education, Culture, Sports, Science and Technology (MEXT) (to M.Y.); Core Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency (JST) (Grant Number JPMJCR1761 to H.H.; JPMJCR1655 to M.Y.); Yamada Research Grant (to T.K.), Takeda Science Foundation (to M.Y.), and Uehara Memorial Foundation (to M.Y.).
Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Calcium imaging
KW - Non-negative matrix factorization
KW - Sleep state analysis
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U2 - 10.1007/978-3-030-30487-4_8
DO - 10.1007/978-3-030-30487-4_8
M3 - Conference contribution
AN - SCOPUS:85072868504
SN - 9783030304867
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 102
EP - 113
BT - Artificial Neural Networks and Machine Learning – ICANN 2019
A2 - Tetko, Igor V.
A2 - Karpov, Pavel
A2 - Theis, Fabian
A2 - Kurková, Vera
PB - Springer Verlag
T2 - 28th International Conference on Artificial Neural Networks, ICANN 2019
Y2 - 17 September 2019 through 19 September 2019
ER -