A neural cocktail-party processor
Biological Cybernetics
Parabolic bursting in an excitable system coupled with a slow oscillation
SIAM Journal on Applied Mathematics
Weakly connected neural networks
Weakly connected neural networks
Stimulus Competition by Inhibitory Interference
Neural Computation
Type i membranes, phase resetting curves, and synchrony
Neural Computation
LFP spectral peaks in V1 cortex: network resonance and cortico-cortical feedback
Journal of Computational Neuroscience
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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.