?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Adaptive+perceptual+pattern+recognition+by+self-organizing+neural+networks%3A+Context%2C+uncertainty%2C+multiplicity%2C+and+scale&rft.creator=Marshall%2C+J.A.&rft.subject=Complexity+Theory&rft.subject=Machine+Learning&rft.subject=Machine+Vision&rft.subject=Neural+Nets&rft.subject=Perceptual+Cognitive+Psychology&rft.description=A+new+context-sensitive+neural+network%2C+called+an+%22EXIN%22+(excitatory%2B+inhibitory)+network%2C+is+described.+EXIN+networks+self-organize+in+complex+perceptual+environments%2C+in+the+presence+of+multiple+superimposed+patterns%2C+multiple+scales%2C+and+uncertainty.+The+networks+use+a+new+inhibitory+learning+rule%2C+in+addition+to+an+excitatory+learning+rule%2C+to+allow+superposition+of+multiple+simultaneous+neural+activations+(multiple+winners)%2C+under+strictly+regulated+circumstances%2C+instead+of+forcing+winner-take-all+pattern+classifications.+The+multiple+activations+represent+uncertainty+or+multiplicity+in+perception+and+pattern+recognition.+Perceptual+scission+(breaking+of+linkages)+between+independent+category+groupings+thus+arises+and+allows+effective+global+context-sensitive+segmentation+constraint+satisfaction%2C+and+exclusive+credit+attribution.+A+Weber+Law+neuron-growth+rule+lets+the+network+learn+and+classify+input+patterns+despite+variations+in+their+spatial+scale.+Applications+of+the+new+techniques+include+segmentation+of+superimposed+auditory+or+biosonar+signals%2C+segmentation+of+visual+regions%2C+and+representation+of+visual+transparency.&rft.date=1995-04&rft.type=Journal+(Paginated)&rft.type=PeerReviewed&rft.format=application%2Fpostscript&rft.identifier=http%3A%2F%2Fcogprints.org%2F440%2F2%2Fcontext9504.ps&rft.identifier=++Marshall%2C+J.A.++(1995)+Adaptive+perceptual+pattern+recognition+by+self-organizing+neural+networks%3A+Context%2C+uncertainty%2C+multiplicity%2C+and+scale.++%5BJournal+(Paginated)%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F440%2F