In the present work we follow a computational neuroscience approach in order to study the role of attention in visual perception. According to the biased competition hypothesis, when multiple stimuli are present in the visual field, populations of neurons are activated that engage in competitive interactions. Experimental studies in humans using functional magnetic resonance imaging (fMRI) techniques confirm such hypothesis. Here, we present a model to simulate these experimental data within a biased competition neurodynamics. The model consists of several interconnected modules which can be related with the different areas of the dorsal and ventral paths of the visual cortex. © 2002 Elsevier Science B.V. All rights reserved.
A neurodynamical model to simulate neural activities in visual attention experiments
Corchs S.;
2002-01-01
Abstract
In the present work we follow a computational neuroscience approach in order to study the role of attention in visual perception. According to the biased competition hypothesis, when multiple stimuli are present in the visual field, populations of neurons are activated that engage in competitive interactions. Experimental studies in humans using functional magnetic resonance imaging (fMRI) techniques confirm such hypothesis. Here, we present a model to simulate these experimental data within a biased competition neurodynamics. The model consists of several interconnected modules which can be related with the different areas of the dorsal and ventral paths of the visual cortex. © 2002 Elsevier Science B.V. All rights reserved.
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