Recurrent cortical networks encode natural sensory statistics via sequence filtering.

ABSTRACT: Recurrent neural networks can generate dynamics, but in sensory cortex it has been unclear if any dynamic processing is supported by the dense recurrent excitatory-excitatory network. Here we show a new role for recurrent connections in mouse visual cortex: they support powerful dynamical computations, but by filtering sequences of input instead of generating sequences. Using two-photon optogenetics, we measure neural responses to natural images and play them back, finding responses are boosted when inputs are played back during the correct movie dynamic context- when the preceding sequence corresponds to natural vision. This sequence selectivity depends on a network mechanism: earlier input patterns produce responses in other local neurons, which interact with later input patterns. We con

SUBMITTER: Deveau CE 

PROVIDER: S-EPMC11188075 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature