Biased competition through variations in amplitude of γ -oscillations

by: Magteld Zeitler, Pascal Fries, Stan Gielen

Journal of Computational Neuroscience, Vol. 25, No. 1. (2008), pp. 89-107.

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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.

@article{citeulike:2958834, abstract = {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.}, author = {Zeitler, Magteld and Fries, Pascal and Gielen, Stan }, citeulike-article-id = {2958834}, journal = {Journal of Computational Neuroscience}, keywords = {gamma, model, oscillation, vision}, number = {1}, pages = {89--107}, posted-at = {2008-07-03 12:41:59}, priority = {2}, title = {Biased competition through variations in amplitude of γ -oscillations}, url = {http://dx.doi.org/10.1007/s10827-007-0066-2}, volume = {25}, year = {2008} }

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TY - JOUR ID - citeulike:2958834 L3 - citeulike-article-id:2958834 TI - Biased competition through variations in amplitude of γ -oscillations JF - Journal of Computational Neuroscience VL - 25 IS - 1 SP - 89 EP - 107 N2 - 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. KW - gamma KW - model KW - oscillation KW - vision AU - Zeitler, Magteld AU - Fries, Pascal AU - Gielen, Stan PY - 2008//19/ UR - http://dx.doi.org/10.1007/s10827-007-0066-2 ER -

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