title: Statistical learning of visual transitions in monkey inferotemporal cortex.
abstract: One of the most fundamental functions of the brain is to predict upcoming events on the basis of the recent past. A closely related function is to signal when a prediction has been violated. The identity of the brain regions that mediate these functions is not known. We set out to determine whether they are implemented at the level of single neurons in the visual system. We gave monkeys prolonged exposure to pairs of images presented in fixed sequence so that each leading image became a strong predictor for the corresponding trailing image. We then monitored the responses of neurons in the inferotemporal cortex to image sequences that obeyed or violated the transitional rules imposed during training. Inferotemporal neurons exhibited a transitional surprise effect, responding much more strongly to unpredicted transitions than to predicted transitions. Thus, neurons even in the visual system make experience-based predictions and react when they fail.
authors.affiliation: Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA 15213, USA. tmeyer@cnbc.cmu.edu
authors.forename: Travis
authors.initials: T
authors.lastname: Meyer
authors.forename: Carl R
authors.initials: CR
authors.lastname: Olson
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D004193:Discrimination Learning / Q000502:physiology*; D005260:Female; D059907:Functional Neuroimaging; D008251:Macaca / Q000502:physiology*; D008297:Male; D010364:Pattern Recognition, Visual / Q000502:physiology*; D010775:Photic Stimulation; D013702:Temporal Lobe / Q000502:physiology*
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