ArticleCognitive neurodynamics2008
Modeling brain dynamics using computational neurogenetic approach.
Article in Cognitive neurodynamics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Neural model of gene regulatory network: a survey on supportive meta-heuristics.Theory in biosciences = Theorie in den Biowissenschaften · 2016Review
- Tackling the social cognition paradox through multi-scale approaches.Frontiers in psychology · 2014Article
- An informatics approach to integrating genetic and neurological data in speech and language neuroscience.Neuroinformatics · 2014Article
- Coupling-induced synchronization in multicellular circadian oscillators of mammals.Cognitive neurodynamics · 2013Article
- Robust stability of stochastic delayed genetic regulatory networks.Cognitive neurodynamics · 2009Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.