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Title:
Tutorial on modeling and simulating neural population dynamics
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Abstract:
Metastable brain dynamics are characterized by abrupt, jump-like modulations so that the neural activity in single trials appears to unfold as a sequence of discrete, quasi-stationary ‘states’. Evidence that cortical neural activity unfolds as a sequence of metastable states is accumulating at fast pace. Metastable activity occurs both in response to an external stimulus and during ongoing, self-initiated activity. Metastable states are increasingly found to support internal representations that are not locked to external triggers, including states of deliberations, attention and expectation. Decoding stimuli or decisions via metastable states can be carried out trial-by-trial, shifting our perspective from traditional concepts based on trial-averaging to models based on dynamic ensemble representations.
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