Divisive normalization underlying efficient inference in a deep generative model account of V1
Domonkos Martos, Josefina Catoni, Ferenc Csikor, Balazs Meszena, Enzo Ferrante, Diego Milone, Gergo Orban, Rodrigo Echeveste · COSYNE 2025
Divisive normalization (DN), the division of a neuron’s activity by a pool of connected neurons, has been recognized as a general computational motif in the cortex. Arguments support that in the visual cortex, DN acts as a canonical computation in generative models, which delivers contextual effects and contributes to shaping response variability. Deep generative models (DGMs) have recently been adopted by neuroscience from machine vision to embrace nonlinear computations in the visual cortex. Yet, it remains unclear whether DGMs effectively integrate DN as a core computational element. We inv
ePoster · Neuroscience