Modeling Temporal Structure in Classical Conditioning

NIPS 2001 by Aaron Courville and Dave Touretzky

Presented by Aaron Courville

Abstract

The Temporal Coding Hypothesis of Miller and colleagues suggests that animals integrate related temporal patterns of stimuli into single memory representations. We formalize this concept using quasi-Bayes estimation to update the parameters of a constrained hidden Markov model. This approach allows us to account for some surprising temporal effects in the second order conditioning experiments of Miller et al., which other models are unable to explain.

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