Temporal Structure Can Solve the Binding Problem for Multiple Feature Domains
We investigate a solution to the binding problem in visual processing using temporal structure in a neuronal network. We, first, demonstrate binding and segregation of assemblies by synchronizing and desynchronizing connections for a single feature representation. Then, we extend this model to multiple feature domains where each member of an distributed assembly is specific for its single particular stimulus feature only. This avoids the combinatorial explosion of multispecific cardinal cells. Besides binding by synchronizing the temporal structure of distributed neuronal responses, our simulations demonstrate that synchronization has to be complemented by a means for stimulus-dependent desynchronization.
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