Causal inference predicts the transition from integration to segmentation in motion perception
Boris Penaloza,
Sabyasachi Shivkumar,
Gabor Lengyel
et al.
Abstract:Motion provides a powerful sensory cue for segmenting a visual scene into objects and inferring the causal relationships between objects. Fundamental mechanisms involved in this process are the integration and segmentation of local motion signals. However, the computations that govern whether local motion signals are perceptually integrated or segmented remain unclear. Hierarchical Bayesian causal inference has recently been proposed as a model for these computations, yet a hallmark prediction of the model – i… Show more
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