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Auditory-induced neural dynamics in sensory-motor circuitry predict learned temporal and sequential statistics of birdsong
2016
Proceedings of the National Academy of Sciences of the United States of America
Predicting future events is a critical computation for both perception and behavior. Despite the essential nature of this computation, there are few studies demonstrating neural activity that predicts specific events in learned, probabilistic sequences. Here, we test the hypotheses that the dynamics of internally generated neural activity are predictive of future events and are structured by the learned temporal-sequential statistics of those events. We recorded neural activity in Bengalese
doi:10.1073/pnas.1606725113
pmid:27506786
pmcid:PMC5003256
fatcat:tnfp24blzze3farpetnzoxulki