A. Redish et al. (2007) proposed a reinforcement learning model of context-dependent learning and extinction in conditioning experiments, using the idea of "state classification" to categorize new observations into states. In the current article, the authors propose an interpretation of this idea in terms of normative statistical inference. They…

The participation of attentional and associative mechanisms in extinction, spontaneous recovery, external disinhibition, renewal, reinstatement, and reacquisition was evaluated through computer simulations with an extant computational model of classical conditioning (N. A. Schmajuk, Y. Lam, & J. A. Gray, 1996; N. A. Schmajuk & J. A. Larrauri,…

Cue competition is one of the most studied phenomena in associative learning. However, a theoretical disagreement has long stood over whether it reflects a learning or performance deficit. The comparator hypothesis, a model of expression of Pavlovian associations, posits that learning is not subject to competition but that performance reflects a…

Early experiments suggesting that classical conditioning depends on the contingency between conditioned stimulus (CS) and the unconditioned stimulus (US) are reconsidered along with later evidence that shows conditioning of the CS and its context in random training. CS-US contingency is neither necessary nor sufficient for conditioning. (SLD)

A simple extension of a network model of conditioning developed by N. Schmajuk and J. Di Carlo (1992) is applied to descriptions of two different conditioned stimulus (CS) functions: (1) a simple CS eliciting conditioned responses by signaling the occurrence of an unconditioned stimulus; and (2) an occasion setter controlling the responses…

The participation of the hippocampus in classical conditioning is described in terms of a multilayer network portraying stimulus configuration. A model of hippocampal function is presented, and computer simulations are used to study neural activity in the various brain areas mapped according to the model. (SLD)

A detailed description of a layered network model is provided, with computer simulations of key associative learning phenomena and predictions generated from the model. The model is compared to more conventional theories of learning to learn and configural learning. (SLD)

Evidence that the vigor of the startle reflex varies systematically with the organism's emotional state is reviewed. A theory elucidating this relationship suggests how amplitude of eyeblink response to a probe may be modulated by affective content of perception and thought. Implications for research on emotion are outlined. (SLD)

This essay introduces a series of studies developing a statistical theory of elementary learning processes. An attempt is made to derive relations among commonly used measures of behavior and quantitative expressions describing simple learning phenomena. Laws of the theory state probability relations between momentary changes in behavioral and…