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6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

April 2016, Vol. 28, No. 4, Pages 629-651
(doi: 10.1162/NECO_a_00822)
© 2016 Massachusetts Institute of Technology
Feature-Based Attention by Lateral Spike Synchronization
Article PDF (911.87 KB)
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.