Approaches and Rationale of Simulation Neuroscience
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Explores higher-order interactions in brain networks using simplicial complexes and information theory, analyzing data from fMRI, financial time-series, and infectious diseases.
Explores dynamic functional connectivity methods in fMRI, emphasizing the identification of multiple brain states and their applications in understanding brain disorders.
Covers the caveats and summary of Simulation Neuroscience, emphasizing the importance of critical data and the three fundamental approaches to understanding the brain.
