Biased competition through variations in amplitude of gamma-oscillations.
SourceJournal of Computational Neuroscience, 25, 1, (2008), pp. 89-107
Article / Letter to editor
Display more detailsDisplay less details
Donders Centre for Cognitive Neuroimaging
Medical Physics and Biophysics
F.C. Donders Centre for Cognitive Neuroimaging
Journal of Computational Neuroscience
Subject120 000 Neuronal Coherence; Biophysics; DCN 1: Perception and Action; DCN 3: Neuroinformatics; NCMLS 7: Chemical and physical biology; UMCN 3.2: Cognitive neurosciences
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.
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.