A neural network approach to hippocampal function in classical conditioning

TitleA neural network approach to hippocampal function in classical conditioning
Publication TypeJournal Article
Year of Publication1991
AuthorsSchmajuk NA, DiCarlo JJ
JournalBehavioral Neuroscience
Volume105
Pagination82–110
ISSN0735-7044
KeywordsAnimals, Cerebellum, Classical, Computer Simulation, Conditioning, Extinction, Eyelid, Hippocampus, Models, Nerve Net, Neurological, Neurons, Psychological, Rabbits, Reaction Time
Abstract

Hippocampal participation in classical conditioning in terms of Grossberg's (1975) attentional theory is described. According to the present rendition of this theory, pairing of a conditioned stimulus {(CS)} with an unconditioned stimulus {(US)} causes both an association of the sensory representation of the {CS} with the {US} (conditioned reinforcement learning) and an association of the sensory representation of the {CS} with the drive representation of the {US} (incentive motivation learning). Sensory representations compete among themselves for a limited-capacity short-term memory {(STM)} that is reflected in a long-term memory storage. The {STM} regulation hypothesis, which proposes that the hippocampus controls incentive motivation, self-excitation, and competition among sensory representations thereby regulating the contents of a limited capacity {STM,} is introduced. Under the {STM} regulation hypothesis, nodes and connections in Grossberg's neural network are mapped onto regional hippocampal-cerebellar circuits. The resulting neural model provides (a) a framework for understanding the dynamics of information processing and storage in the hippocampus and cerebellum during classical conditioning of the rabbit's nictitating membrane, (b) principles for understanding the effect of different hippocampal manipulations on classical conditioning, and (c) numerous novel and testable predictions.

URLhttp://dicarlolab.mit.edu/sites/dicarlolab.mit.edu/files/pubs/schmajuk%20and%20dicarlo%201991.pdf
Refereed DesignationRefereed

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