End-to-end deep learning approach to mouse behavior classification from cortex-wide calcium imaging
Takehiro Ajioka, Nobuhiro Nakai, Okito Yamashita, Toru Takumi
This study uses a CNN-RNN deep learning model to classify mouse behavioral states from cortex-wide calcium imaging data, identifying key somatosensory regions involved in behavior classification.
PLoS Computational Biology · Mar 13, 2024Peer-reviewedNeuroscience