2023
Towards robust and generalizable representations of extracellular data using contrastive learning
NeurIPS 2023poster
Contrastive 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 ana…