Implementing Bayes’ rule with neural fields

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

Título:	Implementing Bayes’ rule with neural fields
Autor(es):	Cuijpers, Raymond H. Erlhagen, Wolfram
Palavras-chave:	Bayesian statistics Neural fields Decision making Population coding
Data:	2008
Editora:	Springer
Revista:	Lecture Notes in Computer Science
Citação:	KURKOVÁ, 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.
Tipo:	Artigo em ata de conferência
URI:	https://hdl.handle.net/1822/10954
ISBN:	978-3-540-87558-1
DOI:	10.1007/978-3-540-87559-8_24
ISSN:	0302-9743
Arbitragem científica:	yes
Acesso:	Acesso aberto
Aparece nas coleções:	CMAT - Artigos em atas de conferências e capítulos de livros com arbitragem / Papers in proceedings of conferences and book chapters with peer review Offmath - Livros de Actas