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Principle of superposition-free memory

dc.contributor.authorConrad, Michaelen_US
dc.date.accessioned2006-04-07T17:09:37Z
dc.date.available2006-04-07T17:09:37Z
dc.date.issued1977-07-21en_US
dc.identifier.citationConrad, Michael (1977/07/21)."Principle of superposition-free memory." Journal of Theoretical Biology 67(2): 213-219. <http://hdl.handle.net/2027.42/22869>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6WMD-4F1SV94-JT/2/92d8c88d5d7d5ba1626aadadc1147e46en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/22869
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=895161&dopt=citationen_US
dc.description.abstractThe requirement that memory be superposition-free imposes a restrictive condition on the structure of neural models. A simple model which satisfies this condition consists of two levels of neurons, with primary level neurons firing in response to external input and secondary (reference) neurons modifying activated primaries in such a way that they can later fire these primaries. Reference neurons are either activated by other reference neurons (time-ordered memories) or by primaries (content-ordered memories). The model allows for general powers of memory manipulation (e.g. formation of associative memories) through rememorization and has a number of implications which correspond to features of the brain.en_US
dc.format.extent433912 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titlePrinciple of superposition-free memoryen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Computer and Communication Sciences, University of Michigan, Ann Arbor, Michigan 48104, U.S.A.; Institute for Information Sciences, University of Tübingen.en_US
dc.identifier.pmid895161en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/22869/1/0000432.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0022-5193(77)90195-3en_US
dc.identifier.sourceJournal of Theoretical Biologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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