Role of unconditioned stimulus prediction in the operant learning: A neural network model

A neural network model of operant conditioning for appetitive and aversive stimuli is proposed. From neurobiological and behavioral bases it is assumed that animals are able to compute the prediction of the unconditioned stimulus. The prediction controls the learning of the correct response to obtai...

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Detalles Bibliográficos
Publicado: 2001
Materias:
Cognitive systems
Computer simulation
Learning systems
Neurophysiology
Probability
Random processes
Hebbian learning
Operant learning
Synaptic weights
Neural networks
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS20731_v1_n_p331_Lew
http://hdl.handle.net/20.500.12110/paper_NIS20731_v1_n_p331_Lew
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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