Terminal chaos for information processing in neurodynamics.
New nonlinear phenomenon-terminal chaos caused by failure of the Lipschitz condition at equilibrium points of dynamical systems is introduced. It is shown that terminal chaos has a well organized probabilistic structure which can be predicted and controlled. This gives an opportunity to exploit this phenomenon for information processing. It appears that chaotic states of neurons activity are associated with higher level of cognitive processes such as generalization and abstraction.
Zak
M
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Center for Space Microelectronics Technology, California Institute of Technology, Pasadena.
D000818:Animals; D001921:Brain / Q000502:physiology; D003071:Cognition; D008433:Mathematics; D008959:Models, Neurological; D008960:Models, Psychological; D009474:Neurons / Q000502:physiology*