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Part binding in a noisy environment by dynamic binding of synfire chains

Research output: Contribution to conferencePaperpeer-review

Abstract

Part binding is one of the various types of binding in cognitive psychology where the parts of an object must be segregated from the background, and bound together. In noisy environments there is more then one solution to the part binding problem, yet the brain chooses one such solution based on the relations among the parts. One model of the situation may consist of binding of the representation of some primitive parts of an image to create a composite object. Expecting to see a specific object may effect which parts will be bound. A synfire chain is a feed forward excitatory network consisting of a large number of pools. Synfire chain models may account for the representation of composite objects by dynamic binding (synchronization of activity waves) among such chains. Using synfire chains for part binding calls for some binding sensitive inhibitory mechanism which controls the total amount of […]
Original languageEnglish
Pages70-79
Number of pages10
StatePublished - 1999
EventNTCS, 1999: Computationalism, the next generation. - University of Vienna, Vienna, Austria
Duration: 17 May 199920 May 1999

Conference

ConferenceNTCS, 1999
Abbreviated titleNTCS'99
Country/TerritoryAustria
CityVienna
Period17/05/9920/05/99

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