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Associative Learning from Replayed Experience

View ORCID ProfileElliot A. Ludvig, Mahdieh S. Mirian, View ORCID ProfileE. James Kehoe, Richard S. Sutton
doi: https://doi.org/10.1101/100800
Elliot A. Ludvig
1Department of Psychology, University of Warwick
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Mahdieh S. Mirian
2Department of Computing Science, University of Alberta
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E. James Kehoe
3School of Psychology, University of New South Wales
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Richard S. Sutton
2Department of Computing Science, University of Alberta
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Abstract

We develop an extension of the Rescorla-Wagner model of associative learning. In addition to learning from the current trial, the new model supposes that animals store and replay previous trials, learning from the replayed trials using the same learning rule. This simple idea provides a unified explanation for diverse phenomena that have proved challenging to earlier associative models, including spontaneous recovery, latent inhibition, retrospective revaluation, and trial spacing effects. For example, spontaneous recovery is explained by supposing that the animal replays its previous trials during the interval between extinction and test. These include earlier acquisition trials as well as recent extinction trials, and thus there is a gradual re-acquisition of the conditioned response. We present simulation results for the simplest version of this replay idea, where the trial memory is assumed empty at the beginning of an experiment, all experienced trials are stored and none removed, and sampling from the memory is performed at random. Even this minimal replay model is able to explain the challenging phenomena, illustrating the explanatory power of an associative model enhanced by learning from remembered as well as real experiences.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted January 16, 2017.
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Associative Learning from Replayed Experience
Elliot A. Ludvig, Mahdieh S. Mirian, E. James Kehoe, Richard S. Sutton
bioRxiv 100800; doi: https://doi.org/10.1101/100800
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Associative Learning from Replayed Experience
Elliot A. Ludvig, Mahdieh S. Mirian, E. James Kehoe, Richard S. Sutton
bioRxiv 100800; doi: https://doi.org/10.1101/100800

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