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Cognitive Neurodynamics

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01-12-2007 | Research Article

A neural network model of attention-modulated neurodynamics

Authors: Yuqiao Gu, Hans Liljenström

Published in: Cognitive Neurodynamics | Issue 4/2007

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Abstract

Visual attention appears to modulate cortical neurodynamics and synchronization through various cholinergic mechanisms. In order to study these mechanisms, we have developed a neural network model of visual cortex area V4, based on psychophysical, anatomical and physiological data. With this model, we want to link selective visual information processing to neural circuits within V4, bottom-up sensory input pathways, top-down attention input pathways, and to cholinergic modulation from the prefrontal lobe. We investigate cellular and network mechanisms underlying some recent analytical results from visual attention experimental data. Our model can reproduce the experimental findings that attention to a stimulus causes increased gamma-frequency synchronization in the superficial layers. Computer simulations and STA power analysis also demonstrate different effects of the different cholinergic attention modulation action mechanisms.

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Title: A neural network model of attention-modulated neurodynamics
Authors: Yuqiao Gu
Hans Liljenström
Publication date: 01-12-2007
Publisher: Springer Netherlands
Published in: Cognitive Neurodynamics / Issue 4/2007
Print ISSN: 1871-4080
Electronic ISSN: 1871-4099
DOI: https://doi.org/10.1007/s11571-007-9028-7

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