Divisive normalization as a mechanism for hierarchical causal inference in motion perception
Boris Penaloza, Sabyasachi Shivkumar, Gabor Lengyel, Linghao Xu, Gregory DeAngelis, Ralf Haefner · COSYNE 2023
Causal inference (CI) has been proposed as a universal computational motif in the brain [Shams & Beierholm 2020]. However, its neural implementation is unclear. Likewise, Divisive Normalization (DN) has been proposed as a canonical circuit motif [Heeger 2011], but there are competing theories about the computations that DN implements (gain control, attention). In this work, we unified both by showing how an extended DN model can account for neural predictions made by a CI model [Shivkumar et al. 2022] in the context of hierarchical motion perception. Specifically, we generated CI predicti
Fri, Mar 10, 2023