Article

Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities

2023-10-05

Abstract excerpt

Despite many successful examples in which probabilistic inference can account for perception, we have little understanding of how the brain represents and uses structured priors that capture the complexity of natural input statistics. Here we construct a recurrent circuit model that can implicitly represent priors over latent variables, and combine them with sensory and contextual sources of information to encode...

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Literature Corpus work: 6dfac229-a276-512c-85a3-2475f3401606
DOI: 10.1101/2023.10.03.560701

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