Dopamine, prediction error and associative learning: a model-based account.

@article{Smith2006DopaminePE,
  title={Dopamine, prediction error and associative learning: a model-based account.},
  author={Andrew D. Smith and Ming Li and Sue Becker and Shitij Kapur},
  journal={Network},
  year={2006},
  volume={17 1},
  pages={61-84}
}
The notion of prediction error has established itself at the heart of formal models of animal learning and current hypotheses of dopamine function. Several interpretations of prediction error have been offered, including the model-free reinforcement learning method known as temporal difference learning (TD), and the important Rescorla-Wagner (RW) learning rule. Here, we present a model-based adaptation of these ideas that provides a good account of empirical data pertaining to dopamine neuron… CONTINUE READING

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