Interactions of timing and prediction error learning

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dc.contributor.author Kirkpatrick, Kimberly
dc.date.accessioned 2014-05-16T19:16:22Z
dc.date.available 2014-05-16T19:16:22Z
dc.date.issued 2014-05-16
dc.identifier.uri http://hdl.handle.net/2097/17764
dc.description.abstract Timing and prediction error learning have historically been treated as independent processes, but growing evidence has indicated that they are not orthogonal. Timing emerges at the earliest time point when conditioned responses are observed, and temporal variables modulate prediction error learning in both simple conditioning and cue competition paradigms. In addition, prediction errors, through changes in reward magnitude or value alter timing of behavior. Thus, there appears to be a bi-directional interaction between timing and prediction error learning. Modern theories have attempted to integrate the two processes with mixed success. A neurocomputational approach to theory development is espoused, which draws on neurobiological evidence to guide and constrain computational model development. Heuristics for future model development are presented with the goal of sparking new approaches to theory development in the timing and prediction error fields. en_US
dc.language.iso en_US en_US
dc.relation.uri http://www.sciencedirect.com/science/article/pii/S0376635713001800 en_US
dc.subject Timing en_US
dc.subject Prediction error learning en_US
dc.subject Motivation en_US
dc.subject Computational modeling en_US
dc.title Interactions of timing and prediction error learning en_US
dc.type Article (author version) en_US
dc.date.published 2014 en_US
dc.citation.doi doi:10.1016/j.beproc.2013.08.005 en_US
dc.citation.epage 145 en_US
dc.citation.jtitle Behavioural Processes en_US
dc.citation.spage 135 en_US
dc.citation.volume 101 en_US
dc.contributor.authoreid kirkpatr en_US


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