From Cognitive to Habit Behavior During Navigation, Through Cortical-Basal Ganglia Loops View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2016

AUTHORS

Jean-Paul Banquet , Souheïl Hanoune , Philippe Gaussier , Mathias Quoy

ABSTRACT

The distinction between cognitive goal-oriented and SR habitual behavior has long been classical in Neuroscience. Nevertheless, the mechanisms of the two types of behaviors as well as their interactions are poorly understood, in spite of significant advances in the knowledge of their supporting structures, the cortico-striatal loops. A neural network (NN) model of the dynamics of these systems during a goal navigation paradigm is presented within the framework of reinforcement learning. The model supposing, the parallel interactive learning of cognitive and habitual strategies, replicates key experimental results related to the transition between them. The biological inspiration of the NN architecture provides insights on the nature of their interactions, and the conditions of their respective engagement in the control of behavior. More... »

PAGES

238-247

Book

TITLE

Artificial Neural Networks and Machine Learning – ICANN 2016

ISBN

978-3-319-44777-3
978-3-319-44778-0

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-44778-0_28

DOI

http://dx.doi.org/10.1007/978-3-319-44778-0_28

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005850428


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