Your brain takes statistically noisy inputs and makes inferences based on them. At the neuron or circuit level, how is the information represented and processed? What model neurons can do this kind of statistical inference. Assistant Professor of Psychology József Fiser and colleagues review these question in Statistically optimal perception and learning: from behavior to neural representations in a recent issue of Trends in Cognitive Science.
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