?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=A+Neural+Model+of+Episodic+and+Semantic+Spatiotemporal+Memory&rft.creator=Rinkus%2C+Gerard+J.&rft.subject=Neural+Nets&rft.subject=Artificial+Intelligence&rft.description=A+neural+network+model+is+proposed+that+forms+sparse+spatiotemporal+memory+traces+of+spatiotemporal+events+given+single+occurrences+of+the+events.+The+traces+are+distributed+in+that+each+individual+cell+and+synapse+participates+in+numerous+traces.+This+sharing+of+representational+substrate+provides+the+basis+for+similarity-based+generalization+and+thus+semantic+memory.++Simulation+results+are+provided+demonstrating+that+similar+spatiotemporal+patterns+map+to+similar+traces.+The+model+achieves+this+property+by+measuring+the+degree+of+match%2C+G%2C+between+the+current+input+pattern+on+each+time+slice+and+the+expected+input+given+the+preceding+time+slices+(i.e.%2C+temporal+context)+and+then+adding+an+amount+of+noise%2C+inversely+proportional+to+G%2C+to+the+process+of+choosing+the+internal+representation+for+the+current+time+slice.+Thus%2C+if+G+is+small%2C+indicating+novelty%2C+we+add+much+noise+and+the+resulting+internal+representation+of+the+current+input+pattern+has+low+overlap+with+any+preexisting+representations+of+time+slices.+If+G+is+large%2C+indicating+a+familiar+event%2C+we+add+very+little+noise+resulting+in+reactivation+of+all+or+most+of+the+preexisting+representation+of+the+input+pattern.&rft.publisher=Lawrence+Erlbaum%2C+Associates&rft.contributor=Forbus%2C+Kenneth+D.&rft.contributor=Gentner%2C+Dedre&rft.contributor=Regier%2C+Terry&rft.date=2004&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F3580%2F1%2FCogSci2004Rev1.pdf&rft.identifier=++Rinkus%2C+Gerard+J.++(2004)+A+Neural+Model+of+Episodic+and+Semantic+Spatiotemporal+Memory.++%5BConference+Paper%5D++++(In+Press)++&rft.relation=http%3A%2F%2Fcogprints.org%2F3580%2F