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Cognitive Neurodynamics

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01.12.2008 | Research Article

Modeling brain dynamics using computational neurogenetic approach

verfasst von: Lubica Benuskova, Nikola Kasabov

Erschienen in: Cognitive Neurodynamics | Ausgabe 4/2008

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Abstract

The paper introduces a novel computational approach to brain dynamics modeling that integrates dynamic gene–protein regulatory networks with a neural network model. Interaction of genes and proteins in neurons affects the dynamics of the whole neural network. Through tuning the gene–protein interaction network and the initial gene/protein expression values, different states of the neural network dynamics can be achieved. A generic computational neurogenetic model is introduced that implements this approach. It is illustrated by means of a simple neurogenetic model of a spiking neural network of the generation of local field potential. Our approach allows for investigation of how deleted or mutated genes can alter the dynamics of a model neural network. We conclude with the proposal how to extend this approach to model cognitive neurodynamics.

Vorheriger Artikel Interpreting neurodynamics: concepts and facts

Nächster Artikel The engram formation and the global oscillations of CA3

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Titel: Modeling brain dynamics using computational neurogenetic approach
verfasst von: Lubica Benuskova
Nikola Kasabov
Publikationsdatum: 01.12.2008
Verlag: Springer Netherlands
Erschienen in: Cognitive Neurodynamics / Ausgabe 4/2008
Print ISSN: 1871-4080
Elektronische ISSN: 1871-4099
DOI: https://doi.org/10.1007/s11571-008-9061-1

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