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What Can Computational Models Contribute to Neuroimaging Data Analytics?
2019
Frontiers in Systems Neuroscience
Over the past years, nonlinear dynamical models have significantly contributed to the general understanding of brain activity as well as brain disorders. Appropriately validated and optimized mathematical models can be used to mechanistically explain properties of brain structure and neuronal dynamics observed from neuroimaging data. A thorough exploration of the model parameter space and hypothesis testing with the methods of nonlinear dynamical systems and statistical physics can assist in
doi:10.3389/fnsys.2018.00068
pmid:30687028
pmcid:PMC6338060
fatcat:avpgrgs5ofdjfoln4b4bgrih7i