Modeling Temporal Structure in Classical Conditioning
Abstract
The Temporal Coding Hypothesis of Miller and colleagues [7] sug(cid:173) gests 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 con(cid:173) strained hidden Markov model. This approach allows us to account for some surprising temporal effects in the second order condition(cid:173) ing experiments of Miller et al. [1 , 2, 3], which other models are unable to explain.
Cite
Text
Courville and Touretzky. "Modeling Temporal Structure in Classical Conditioning." Neural Information Processing Systems, 2001.Markdown
[Courville and Touretzky. "Modeling Temporal Structure in Classical Conditioning." Neural Information Processing Systems, 2001.](https://mlanthology.org/neurips/2001/courville2001neurips-modeling/)BibTeX
@inproceedings{courville2001neurips-modeling,
title = {{Modeling Temporal Structure in Classical Conditioning}},
author = {Courville, Aaron C. and Touretzky, David S.},
booktitle = {Neural Information Processing Systems},
year = {2001},
pages = {3-10},
url = {https://mlanthology.org/neurips/2001/courville2001neurips-modeling/}
}