Journal of Computational Neuroscience

, Volume 25, Issue 1, pp 89–107

Biased competition through variations in amplitude of γ-oscillations

Article

DOI: 10.1007/s10827-007-0066-2

Cite this article as:
Zeitler, M., Fries, P. & Gielen, S. J Comput Neurosci (2008) 25: 89. doi:10.1007/s10827-007-0066-2

Abstract

Experiments in visual cortex have shown that the firing rate of a neuron in response to the simultaneous presentation of a preferred and non-preferred stimulus within the receptive field is intermediate between that for the two stimuli alone (stimulus competition). Attention directed to one of the stimuli drives the response towards the response induced by the attended stimulus alone (selective attention). This study shows that a simple feedforward model with fixed synaptic conductance values can reproduce these two phenomena using synchronization in the gamma-frequency range to increase the effective synaptic gain for the responses to the attended stimulus. The performance of the model is robust to changes in the parameter values. The model predicts that the phase locking between presynaptic input and output spikes increases with attention.

Keywords

Selective attentionStimulus competitionCoherenceTemporal correlated spike input

Copyright information

© The Author(s) 2008

Authors and Affiliations

  1. 1.Department of Biophysics, Institute for NeuroscienceRadboud University NijmegenNijmegenThe Netherlands
  2. 2.F.C. Donders Centre for Cognitive NeuroimagingRadboud University NijmegenNijmegenThe Netherlands