A Cognitive Model Based on Neuromodulated Plasticity.
Comput Intell Neurosci
; 2016: 4296356, 2016.
Article
en En
| MEDLINE
| ID: mdl-27872638
ABSTRACT
Associative learning, including classical conditioning and operant conditioning, is regarded as the most fundamental type of learning for animals and human beings. Many models have been proposed surrounding classical conditioning or operant conditioning. However, a unified and integrated model to explain the two types of conditioning is much less studied. Here, a model based on neuromodulated synaptic plasticity is presented. The model is bioinspired including multistored memory module and simulated VTA dopaminergic neurons to produce reward signal. The synaptic weights are modified according to the reward signal, which simulates the change of associative strengths in associative learning. The experiment results in real robots prove the suitability and validity of the proposed model.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Aprendizaje por Asociación
/
Cognición
/
Neurotransmisores
/
Modelos Neurológicos
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Plasticidad Neuronal
/
Neuronas
Límite:
Animals
/
Humans
Idioma:
En
Revista:
Comput Intell Neurosci
Asunto de la revista:
INFORMATICA MEDICA
/
NEUROLOGIA
Año:
2016
Tipo del documento:
Article
País de afiliación:
China