An artificial neural network for automated behavioral state classification in rats
Accurate behavioral state classification is critical for many research applications. Researchers typically rely upon manual identification of behavioral state through visual inspection of electrophysiological signals, but this approach is time intensive and subject to low inter-rater reliability. To...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2021-09-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/12127.pdf |