Guillermo A. Cecchi, Leopoldo T. Petreanu, et al.
J. Comput. Neurosci.
It is widely recognized that balancing excitation and inhibition is important in the nervous system. When such a balance is sought by global strategies, few modes remain poised close to instability, and all other modes are strongly stable. Here we present a simple abstract model in which this balance is sought locally by units following "anti-Hebbian" evolution: all degrees of freedom achieve a close balance of excitation and inhibition and become "critical" in the dynamical sense. At long time scales, a complex "breakout" dynamics ensues in which different modes of the system oscillate between prominence and extinction; the model develops various long-tailed statistical behaviors and may become self-organized critical. © 2009 The American Physical Society.
Guillermo A. Cecchi, Leopoldo T. Petreanu, et al.
J. Comput. Neurosci.
Guillermo A. Cecchi, Marcelo O. Magnasco
Physica A: Statistical Mechanics and its Applications
Guillermo A. Cecchi, Irina Rish, et al.
NeurIPS 2009
A. Ravishankar Rao, Guillermo A. Cecchi, et al.
IS&T/SPIE Electronic Imaging 2006