Nonlinear manifolds underlie neural population activity during behaviour.

ABSTRACT: There is rich variety in the activity of single neurons recorded during behaviour. Yet, these diverse single neuron responses can be well described by relatively few patterns of neural co-modulation. The study of such low-dimensional structure of neural population activity has provided important insights into how the brain generates behaviour. Virtually all of these studies have used linear dimensionality reduction techniques to estimate these population-wide co-modulation patterns, constraining them to a flat "neural manifold". Here, we hypothesised that since neurons have nonlinear responses and make thousands of distributed and recurrent connections that likely amplify such nonlinearities, neural manifolds should be intrinsically nonlinear. Combining neural population recordings from mo

SUBMITTER: Fortunato C 

PROVIDER: S-EPMC10370078 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature