Neural Comp. NEW Faster Access
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Google Scholar
Right arrow Articles by Börgers, C.
Right arrow Articles by Kopell, N. J.
PubMed
Right arrow Articles by Börgers, C.
Right arrow Articles by Kopell, N. J.
(Neural Computation. 2008;20:383-414.)
© 2008 The MIT Press


Letter

Gamma Oscillations and Stimulus Selection

Christoph Börgers

christoph.borgers{at}tufts.edu Department of Mathematics, Tufts University, Medford, MA 02155, U.S.A.

Nancy J. Kopell

nk{at}bu.edu Department of Mathematics and Center for Biodynamics, Boston University, Boston, MA 02215, U.S.A.

More coherent excitatory stimuli are known to have a competitive advantage over less coherent ones. We show here that this advantage is amplified greatly when the target includes inhibitory interneurons acting via GABAA-receptor-mediated synapses and the coherent input oscillates at gamma frequency. We hypothesize that therein lies, at least in part, the functional significance of the experimentally observed link between attentional biasing of stimulus competition and gamma frequency rhythmicity.







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
J COGNITIVE NEUROSCIENCE NEURAL COMPUTATION MIT PRESS JOURNALS
Copyright © 2008 by The MIT Press.