Modeling temporal structure in classical conditioning
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 3 - 10, January, 2001
Abstract
The Temporal Coding Hypothesis of Miller and colleagues [7] 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. [1, 2, 3], which other models are unable to explain.
BibTeX
@conference{Courville-2001-16846,author = {Aaron Courville and David S. Touretzky},
title = {Modeling temporal structure in classical conditioning},
booktitle = {Proceedings of (NeurIPS) Neural Information Processing Systems},
year = {2001},
month = {January},
editor = {T. Dietterich, S.Becker, and Z. Ghahramani},
pages = {3 - 10},
publisher = {MIT Press},
address = {Cambridge, MA},
}
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