A computational model of cortico-striato-thalamic circuits in goal-directed behaviour

N. Serap Şengör, Özkan Karabacak, Ulrich Steinmetz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

A connectionist model of cortico-striato-thalamic loops unifying learning and action selection is proposed. The aim in proposing the connectionist model is to develop a simple model revealing the mechanisms behind the cognitive process of goal directed behaviour rather than merely obtaining a model of neural structures. In the proposed connectionist model, the action selection is realized by a non-linear dynamical system, while learning that modifies the action selection is realized similar to actor-critic model of reinforcement learning. The task of sequence learning is solved with the proposed model to make clear how the model can be implemented.

Original languageEnglish
Title of host publicationArtificial Neural Networks - ICANN 2008 - 18th International Conference, Proceedings
Pages328-337
Number of pages10
EditionPART 2
DOIs
Publication statusPublished - 2008
Event18th International Conference on Artificial Neural Networks, ICANN 2008 - Prague, Czech Republic
Duration: 3 Sept 20086 Sept 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5164 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Artificial Neural Networks, ICANN 2008
Country/TerritoryCzech Republic
CityPrague
Period3/09/086/09/08

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