Population encoding of stimulus features along the visual hierarchy.

ABSTRACT: The retina and primary visual cortex (V1) both exhibit diverse neural populations sensitive to diverse visual features. Yet it remains unclear how neural populations in each area partition stimulus space to span these features. One possibility is that neural populations are organized into discrete groups of neurons, with each group signaling a particular constellation of features. Alternatively, neurons could be continuously distributed across feature-encoding space. To distinguish these possibilities, we presented a battery of visual stimuli to the mouse retina and V1 while measuring neural responses with multi-electrode arrays. Using machine learning approaches, we developed a manifold embedding technique that captures how neural populations partition feature space and how visual respons

SUBMITTER: Dyballa L 

PROVIDER: S-EPMC10823231 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature