Max Planck Institute for Dynamics and Self-Organization -- Department for Nonlinear Dynamics and Network Dynamics Group
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MPIDS/BCCN Sonderkolloquium

Thursday, 25.09.2008 13:30 s.t.

Can dynamical criticality lead to statistical criticality? An affirmative answer for a model of neural tissue

by Dr. Oreste Piro
from Universitat de les Illes Balears

Contact person: Theo Geisel


Hörsaal Haus 8 (Bunsenstr.)


For the nervous system to work at all, a delicate balance of excitation and inhibition must be achieved. However, when such a balance is sought by global strategies, only few modes remain balanced close to instability, and all other modes are strongly stable. Here we present a simple model of neural tissue in which this balance is sought locally by neurons following 'anti-Hebbian' behavior: all degrees of freedom achieve a close balance of excitation and inhibition and become "critical" in the dynamical sense. At long timescales, the modes of our model oscillate around the instability line, so an extremely complex "breakout" dynamics ensues in which different modes of the system oscillate between prominence and extinction. We show the system develops various anomalous statistical behaviours and hence becomes self-organized critical in the statistical sense.

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