The paper proposes integrative neurocybernetic models as a framework to unify fragmented large-scale neural and behavioral data through closed-loop dynamical modeling and control objectives.
Discovering governing equations from data by sparse identification of nonlinear dynamical systems.Proceedings of the National Academy of Sciences, 113(15):3932–3937
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Integrative neurocybernetic modeling in the era of large-scale neuroscience
The paper proposes integrative neurocybernetic models as a framework to unify fragmented large-scale neural and behavioral data through closed-loop dynamical modeling and control objectives.