Most human neuroscience research to date has focused on statistical approaches that
describe stationary patterns of localized neural activity or blood flow. While these patterns
are often interpreted in light of dynamic, information-processing concepts, the static, local,
and inferential nature of the statistical approach makes it challenging to directly link
neuroimaging results to plausible underlying neural mechanisms. Here, we argue that
dynamical systems theory provides the crucial mechanistic framework for characterizing …