Literature DB >> 21641793

A selectionist account of de novo action learning.

Rui M Costa1.   

Abstract

How are novel actions generated and learned? We introduce a selectionist view of de novo action learning, and present some of the main postulates of such a view. This view contrasts with the notion that all actions are generated in response to particular stimuli and hence instructed by the world. It postulates that actions are generated in the actor (the organism) and selected by the environment (stimuli). Selection may occur iteratively until actions can be executed more rapidly and precisely, less variably, and eventually be elicited by particular stimuli. We also discuss experiments that support the particular predictions of this theory.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21641793     DOI: 10.1016/j.conb.2011.05.004

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  31 in total

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Review 2.  The external globus pallidus: progress and perspectives.

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Review 3.  Big behavioral data: psychology, ethology and the foundations of neuroscience.

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Review 5.  Shaping action sequences in basal ganglia circuits.

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Journal:  Curr Opin Neurobiol       Date:  2015-07-17       Impact factor: 6.627

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Review 7.  Motor skill learning between selection and execution.

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Journal:  Trends Cogn Sci       Date:  2015-03-05       Impact factor: 20.229

8.  Learning to represent reward structure: a key to adapting to complex environments.

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9.  Punishment-induced behavioral and neurophysiological variability reveals dopamine-dependent selection of kinematic movement parameters.

Authors:  Joseph M Galea; Diane Ruge; Arthur Buijink; Sven Bestmann; John C Rothwell
Journal:  J Neurosci       Date:  2013-02-27       Impact factor: 6.167

Review 10.  Associative and sensorimotor cortico-basal ganglia circuit roles in effects of abused drugs.

Authors:  C M Gremel; D M Lovinger
Journal:  Genes Brain Behav       Date:  2016-08-26       Impact factor: 3.449

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