Charlotte Loh

Nov 2, 2023 | biorxiv.org | Liam Paninski |Akash Srivastava |Ankit Vishnubhotla |Charlotte Loh

AbstractContrastive learning is quickly becoming an essential tool in neuroscience for extracting robust and meaningful representations of neural activity. Despite numerous applications to neuronal population data, there has been little exploration of how these methods can be adapted to key primary data analysis tasks such as spike sorting or cell-type classification.