Biased competition through variations in amplitude of γ-oscillations

Autor: Pascal Fries, Stan C. A. M. Gielen, Magteld Zeitler
Jazyk: angličtina
Rok vydání: 2008
Předmět:
Chemical and physical biology [NCMLS 7]
Cognitive Neuroscience
Models
Neurological
Biophysics
Action Potentials
Neutral stimulus
Neuroinformatics [DCN 3]
Neurotransmission
Stimulus (physiology)
Synaptic Transmission
Article
03 medical and health sciences
Cellular and Molecular Neuroscience
0302 clinical medicine
Stimulus competition
Cognitive neurosciences [UMCN 3.2]
Interneurons
Perception and Action [DCN 1]
medicine
Attention
Computer Simulation
030304 developmental biology
Visual Cortex
Neurons
0303 health sciences
120 000 Neuronal Coherence
Feed forward
Electroencephalography
Temporal correlated spike input
Sensory Systems
Amplitude
Visual cortex
medicine.anatomical_structure
Receptive field
Selective attention
Stimulus control
Psychology
Neuroscience
Coherence
030217 neurology & neurosurgery
Zdroj: Journal of Computational Neuroscience
Journal of Computational Neuroscience, 25, 89-107
Journal of Computational Neuroscience, 25, 1, pp. 89-107
ISSN: 1573-6873
0929-5313
Popis: Contains fulltext : 70121.pdf (Publisher’s version ) (Open Access) Contains fulltext : 70121.pdf (author's version ) (Open Access) 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.
Databáze: OpenAIRE
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