Causal inference can explain hierarchical motion perception and is reflected in neural responses in MT
Sabyasachi Shivkumar,Zhexin Xu,Gábor Lengyel,Gregory DeAngelis,Ralf Haefner · COSYNE 2022
Causal inference (CI) has recently been proposed as a universal computational motif in the brain [Shams \& Beierholm 2020]. However, how CI is implemented by neural circuits, and its signatures in terms of single neuron responses, are still unclear. We have investigated this question in the context of complex motion processing. Motion perception deviates from retinal motion [Johansson 1973] a computation that can be understood in terms of hierarchical CI over which moving elements to integrate into coherent 'groups' vs segment into different ones [Gershman et al. 2016, Shivkumar et al. 202
Fri, Mar 18, 2022