Computational neurogenetic modeling: a methodology to study gene interactions underlying neural oscillations

dc.contributor.authorBenuskova, L.
dc.contributor.authorWysoski, S.
dc.contributor.authorKasabov, N
dc.date.accessioned2009-05-27T22:18:49Z
dc.date.available2009-05-27T22:18:49Z
dc.date.copyright2006
dc.date.created2006
dc.date.issued2006
dc.description.abstractWe present new results from Computational Neurogenetic Modeling to aid discoveries of complex gene interactions underlying oscillations in neural systems. Interactions of genes in neurons affect the dynamics of the whole neural network model through neuronal parameters, which change their values as a function of gene expression. Through optimization of the gene interaction network, initial gene/protein expression values and neuronal parameters, particular target states of the neural network operation can be achieved, and statistics about gene interaction matrix can be extracted. In such a way it is possible to model the role of genes and their interactions in different brain states and conditions. Experiments with human EEG data are presented as an illustration of this methodology and also, as a source for the discovery of unknown interactions between genes in relation to their impact on brain activity. © 2006 IEEE.
dc.identifier.doi10.1109/IJCNN.2006.247114
dc.identifier.urihttps://hdl.handle.net/10292/596
dc.publisherIEEE
dc.rights©2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
dc.rights.accessrightsOpenAccess
dc.sourceIEEE International Conference on Neural Networks, 4638-4644
dc.titleComputational neurogenetic modeling: a methodology to study gene interactions underlying neural oscillations
dc.typeConference Proceedings
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