Dynamic Causal Modeling (DCM) is a Bayesian framework for inferring directed interactions among neural populations from neuroimaging and electrophysiological data. Rather than measuring mere ...
Dynamical modelling of emotions applies principles from nonlinear dynamics, network science and affective psychology to characterise how emotional states evolve and interact across individuals and ...
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