Modelling the acquisition of Pavlovian conditioning DOI Creative Commons
Justin A. Harris

Neurobiology of Learning and Memory, Год журнала: 2025, Номер unknown, С. 108059 - 108059

Опубликована: Апрель 1, 2025

Pavlovian conditioning is a fundamental learning process that allows animals to anticipate and respond significant environmental events. This review examines the key properties of relationship between conditioned stimulus (CS) unconditioned (US) influence learning, focussing on temporal proximity CS US, spacing trials (pairings US), contingency US. These have been touchstones for models associative learning. Two primary theoretical approaches are contrasted here. Connection strength models, exemplified by Rescorla-Wagner model (Rescorla & Wagner, 1972), describe as trial-by-trial changes in an bond based prediction errors. In time-based (e.g., Gallistel Gibbon, 2000) encode remember intervals rates reinforcement. The integration Information Theory into (Balsam Gallistel, 2009) provides mathematical framework quantifying effects proximity, trial spacing, terms how much reduces uncertainty about present paper incorporates Bayesian updating information theoretic account CS-US interval across conditioning. shown empirical evidence way responding continuously over trials.

Язык: Английский

Modelling the acquisition of Pavlovian conditioning DOI Creative Commons
Justin A. Harris

Neurobiology of Learning and Memory, Год журнала: 2025, Номер unknown, С. 108059 - 108059

Опубликована: Апрель 1, 2025

Pavlovian conditioning is a fundamental learning process that allows animals to anticipate and respond significant environmental events. This review examines the key properties of relationship between conditioned stimulus (CS) unconditioned (US) influence learning, focussing on temporal proximity CS US, spacing trials (pairings US), contingency US. These have been touchstones for models associative learning. Two primary theoretical approaches are contrasted here. Connection strength models, exemplified by Rescorla-Wagner model (Rescorla & Wagner, 1972), describe as trial-by-trial changes in an bond based prediction errors. In time-based (e.g., Gallistel Gibbon, 2000) encode remember intervals rates reinforcement. The integration Information Theory into (Balsam Gallistel, 2009) provides mathematical framework quantifying effects proximity, trial spacing, terms how much reduces uncertainty about present paper incorporates Bayesian updating information theoretic account CS-US interval across conditioning. shown empirical evidence way responding continuously over trials.

Язык: Английский

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