Utilize este identificador para referenciar este registo: http://hdl.handle.net/1822/10954

TítuloImplementing Bayes’ rule with neural fields
Autor(es)Cuijpers, Raymond H.
Erlhagen, Wolfram
Palavras-chaveBayesian statistics
Neural fields
Decision making
Population coding
Data2008
EditoraSpringer
RevistaLecture Notes in Computer Science
CitaçãoKURKOVÁ, Véra [et al.], ed. lit. - “Artificial neural networks - ICANN 2008 : proceedings of the International Conference, 18, Prague, Czech Republic, 2008”. Berlin : Springer, cop. 2008. (Lecture Notes in Computer Science, ISSN 0302-9743 ; 5164). ISBN 978-3-540-87558-1. pt. 2, p. 228-237.
Resumo(s)Bayesian statistics is has been very successful in describing behavioural data on decision making and cue integration under noisy circumstances. However, it is still an open question how the human brain actually incorporates this functionality. Here we compare three ways in which Bayes rule can be implemented using neural fields. The result is a truly dynamic framework that can easily be extended by non-Bayesian mechanisms such as learning and memory.
TipoconferencePaper
URIhttp://hdl.handle.net/1822/10954
ISBN978-3-540-87558-1
DOI10.1007/978-3-540-87559-8_24
ISSN0302-9743
Arbitragem científicayes
AcessoopenAccess
Aparece nas coleções:Offmath - Livros de Actas
CMAT - Artigos em atas de conferências e capítulos de livros com arbitragem / Papers in proceedings of conferences and book chapters with peer review

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