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dc.contributor.authorBanquet, Jean-Paulen_US
dc.contributor.authorContreras-Vidal, José L.en_US
dc.date.accessioned2011-11-14T18:21:52Z
dc.date.available2011-11-14T18:21:52Z
dc.date.issued1992-02en_US
dc.identifier.urihttps://hdl.handle.net/2144/2081
dc.description.abstractWe present a neural network that adapts and integrates several preexisting or new modules to categorize events in short term memory (STM), encode temporal order in working memory, evaluate timing and probability context in medium and long term memory. The model shows how processed contextual information modulates event recognition and categorization, focal attention and incentive motivation. The model is based on a compendium of Event Related Potentials (ERPs) and behavioral results either collected by the authors or compiled from the classical ERP literature. Its hallmark is, at the functional level, the interplay of memory registers endowed with widely different dynamical ranges, and at the structural level, the attempt to relate the different modules to known anatomical structures.en_US
dc.description.sponsorshipINSERM; NATO; DGA/DRET (911470/A000/DRET/DS/DR)en_US
dc.language.isoen_USen_US
dc.publisherBoston University Center for Adaptive Systems and Department of Cognitive and Neural Systemsen_US
dc.relation.ispartofseriesBU CAS/CNS Technical Reports;CAS/CNS-TR-1992-001en_US
dc.rightsCopyright 1992 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and / or special permission.en_US
dc.titleAn Integrated Neural Network-Event-Related Potentials Model of Temporal and Probability Context Effects on Event Categorizationen_US
dc.typeTechnical Reporten_US
dc.rights.holderBoston University Trusteesen_US


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