WormTensor: a clustering method for time-series whole-brain activity data from C. elegans

WormTensor: a clustering method for time-series whole-brain activity data from C. elegans

Abstract Background In the field of neuroscience, neural modules and circuits that control biological functions have been found throughout entire neural networks. Correlations in neural activity can be used to identify such neural modules. Recent technological advances enable us to measure whole-bra...

Full description

Bibliographic Details
Main Authors: Koki Tsuyuzaki, Kentaro Yamamoto, Yu Toyoshima, Hirofumi Sato, Manami Kanamori, Takayuki Teramoto, Takeshi Ishihara, Yuichi Iino, Itoshi Nikaido
Format: Article
Language:English
Published: BMC 2023-06-01
Series:BMC Bioinformatics
Subjects:
C. elegans
NaCl stimuli
Calcium imaging
Neural activity
Functional modules
Tensor decomposition
Online Access:https://doi.org/10.1186/s12859-023-05230-2

Internet

https://doi.org/10.1186/s12859-023-05230-2

Similar Items