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Elliott Ludvig

 

 

http://elliot.ludvig.ca/Home.html

 

Thursday 13th December 2012

Time: 4pm

 

B10 Basement Seminar Room

Alexandra House, 17 Queen Square, London, WC1N 3AR

 

 

Learning from Replayed Experience

 

In this talk, I introduce a new reinforcement-learning model of conditioning and decision-making that learns in a similar manner from both real and replayed experiences. Our replay model provides a unifying explanation for several classical conditioning phenomena that are problematic for traditional computational models, such as latent inhibition, spontaneous recovery, retrospective revaluation, and timescale invariance. Applied to decision-making, the replay model predicts that memory biases, such as the tendency to remember extremely salient events, should bias choices. In the second part of the talk, I present data from a series of risky choice experiments in people that corroborate this prediction.

 

Affiliation: Princeton University
More specific affiliation (if needed): Princeton Neuroscience Institute and Department of Mechanical & Aerospace Engineering