In this article, we present a perspective on the role of the hippocampal system in generalization, instantiated in a computational model called REMERGE (recurrency and episodic memory results in generalization). We expose a fundamental, but neglected, tension between prevailing computational theories that emphasize the function of the hippocampus…

Individuals of all ages extract structure from the sequences of patterns they encounter in their environment, an ability that is at the very heart of cognition. Exactly what underlies this ability has been the subject of much debate over the years. A novel mechanism, implicit chunk recognition (ICR), is proposed for sequence segmentation and chunk…

Learning and memory are considered within an adaptive-evoluntionary framework. 99 ref. (Author/MC)

Autonomously developing organisms face several challenges when learning reaching movements. First, motor control is learned unsupervised or self-supervised. Second, knowledge of sensorimotor contingencies is acquired in contexts in which action consequences unfold in time. Third, motor redundancies must be resolved. To solve all 3 of these…

By integrating previous computational models of corticohippocampal function, the authors develop and test a unified theory of the neural substrates of familiarity, recollection, and classical conditioning. This approach integrates models from 2 traditions of hippocampal modeling, those of episodic memory and incremental learning, by drawing on an…

A computational model of the neural substrates of elementary associate learning is developed. It is used to demonstrate that several higher order features of classical conditioning could be elaborations of the known cellular mechanisms for simple associative learning. (Author/LMO)

A simulation model of episodic memory, MINERVA Z, is applied to the learning of concepts, as represented by the schema-abstraction task. The model successfully predicts basic findings from the scheme-abstraction literature, including some that have been cited as evidence against exemplary theories of concepts. (Author/LMO)

Article attempted to show that new findings are emerging that may bring the study of probability learning closer to the mainstream of research on human memory and information processing. (Author/RK)

Begins by discussing a number of problems in applying a levels-of-processing approach to memory as proposed in the late 1960s and then revised in 1972 by Craik and Lockhart, suggests that some of the basic assumptions are false, and argues for information-processing models devised to study working memory and reading, which aim to explore the…

Data and models about recognition and recall of words and nonwords are unified using a real-time network processing theory. Adaptive resonance theory arose from an analysis of how a language system self-organizes in real time in response to its complex input environment. (Author/LMO)

This article has three goals: to set forth some general claims about the course of skill acquisition; to discuss a series of counter intuitive predictions derived from the ACT theory; and to review the state of empirical evidence relevant to these predictions. (LMO)

Horizontal vs vertical associative memory is defined. Vertical associative memory involves chunking--specifying new nodes representing combinations of old nodes. Chunking is the basis of semantic memory and cognitive learning. The hippocampal (limbic) arousal system is critical to the chunking process; its disruption produces the amnesic syndrome.…

Ratcliff's theory of memory retrieval which posits parallel processing and Sternberg's serial processing explanation of memory scanning are reviewed and contrasted. Discrepancy between the two theories may arise because they focus on different aspects of the data. If scanning without comparisons takes place, the two views may be reconciled.…