Dopamine neural response as context-dependent prediction †error, and functional clusters underlying neural avalanches

old_uid3958
titleDopamine neural response as context-dependent prediction †error, and functional clusters underlying neural avalanches
start_date2008/01/29
schedule16h
onlineno
location_infoétage rez-de-chaussée, salle des séminaires
detailsGroup for Neural Theory
summaryI present two topics in this talk. As the first topic, I †discuss our finding that dopamine (DA) neurons can represent †context-dependent prediction error. It indicates that DA neurons can †take account of a specific type of conditional probability of †reward, based on a history of trials, which has been acquired through month experience of experimental tasks. This suggests that DA neurons †represent reward prediction error, partially at least, by †incorporating a kind of model-based reinforcement learning. As the †second topic, I discuss our preliminary result on the analysis of local field potential (LFP) data in which neural avalanche, or a power-law statistics, has been found. We show that the pairwise interaction of the LFPs can be accounted mostly by the activity of functional clusters (groups of electrodes). This suggests that the functional clusters may underlie the generation of neural avalanche.
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