Revealing neural correlates of behavior without behavioral measurements
Neuronal tuning is typically measured in response to a priori defined behavioural variables of interest. Here, the authors use an unsupervised learning approach to recover neuronal tuning with respect to the recorded network activity and show that this can reveal the relevant behavioural variables.
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2019-10-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-019-12724-2 |