Computational Versus Associative Models of Simple Conditioningi
نویسندگان
چکیده
In associative models, conductive connections (associations, Hebbian synapses) are strengthened by the repetitive temporal pairing of stimuli. The associations cause the animal to behave more adaptively, but they do not encode information about objectively specifiable properties of the conditioning experience. In information processing (computational) models, the temporal intervals that define the protocol are timed and the results recorded in memory for later use in the computation of the decision variables on which conditioned responding is based. The predictions of these latter models depend on the ratios of remembered and currently experienced temporal intervals; hence, they are time-scale invariant. Two examples of empirical time scale invariance are described: neither the delay of reinforcement nor the ratio of reinforced to unreinforced CS presentations appear to affect rates of acquisition and extinction. Time scale invariance has far reaching implications for models of the processes that underlie conditioning, for example, models of Hebbian synapses. Learning Associations Information Processing Time Scale Invariance
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