Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling

The goal of perception is to infer the hidden states in the hierarchical process by which sensory data are generated. Human behavior is consistent with the optimal statistical solution to this problem in many tasks, including cue combination and orientation detection... (read more)

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