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Modeling Temporal Structure in Classical Conditioning

Conference Paper Artificial Intelligence ยท Machine Learning

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.

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Context

Venue
Annual Conference on Neural Information Processing Systems
Archive span
1987-2025
Indexed papers
30776
Paper id
682093102649474727
v2026.09.13