Striatal dopamine in attentional learning: a computational model

Salum, Cristiane; Roque da Silva, Antônio and Pickering, Alan. 1999. Striatal dopamine in attentional learning: a computational model. Neurocomputing, 26, pp. 845-854. ISSN 0925-2312 [Article]

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Abstract or Description

This work describes a neural network model which simulates a discrete part of the dopaminergic striatal circuitry involved in reinforcement learning. We consider the proposal that learning by reinforcement is acquired by a heterosynaptic mechanism affecting plasticity of corticostriatal synapses, under the modulatory control of DA neurons. The simulation results seem to be successful since they are consistent with the literature that shows a transfer of DA neuron firing from the primary reinforcement stimulus to the conditioned stimulus after learning. We also present some simulations, using the same model, of two learning paradigms, blocking and overshadowing, which may be mediated by this dopamine circuitry.

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Dopamine; Blocking; Reinforcement-learning

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Date Deposited:

18 Mar 2015 12:28

Last Modified:

04 Jul 2017 10:31

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Yes, this version has been peer-reviewed.


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