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Feature-Based Attention by Lateral Spike Synchronization
1Department of Basic Psychology, Faculty of Psychology, University of Barcelona, Barcelona 08035, Spain.
Neural Computation
|February 19, 2016
Abstract:
We introduce a neural model capable of feature selectiveness by spike-mediated synchronization through lateral synaptic couplings. For a stimulus containing two features, the attended one elicits a higher response. In the case of sequential single-feature stimuli, repetition of the attended feature also results in an enhanced response, exhibited by greater synchrony and higher spiking rates.

