{"pk":31304,"title":"Hippocampal-System Function in Stimulus Representation and Generalization: A Computational Theory","subtitle":null,"abstract":"We propose a computational theory of hippocampalsystem function in mediating stimulus representation in associative learning. A connectionist model based on this theory is described here, in which the hippocampal system develc^s new and adaptive stimulus repesentations which are predictive, distributed, and compressed: other cortical and cerebellar modules are presumed to use these hippocampal representations to recode their o w n stimulus representations. This computational theory can been seen as an extension and/or refinement of several prior characterizations of hippocampal function. including theories of chunking, stimulus selection, cue-configuration, and contextual coding. The theory does not address temporal aspects of hippocampal function. SimulaticMis of the intact and lesioned model provide an account of data on diverse effects of hippocampal-region lesions, including simple discrimination learning, sensory preconditioning. reversal training, latent inhibition, contextual shifts, and ccMifigural learning. Potential implications of this theory for understanding human declarative m e m o y , temporal processing. and neural mechanisms are briefly discussed.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Talks","is_remote":true,"remote_url":"https://escholarship.org/uc/item/11h1b8jb","frozenauthors":[{"first_name":"Mark","middle_name":"A.","last_name":"Gluck","name_suffix":"","institution":"Rutgers University","department":""},{"first_name":"Catherine","middle_name":"E.","last_name":"Meyers","name_suffix":"","institution":"Rutgers University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1992-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/31304/galley/22373/download/"}]}