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Titolo:
PHYSICAL MODELS OF COGNITION
Autore:
ZAK M;
Indirizzi:
CALTECH PASADENA CA 91109
Titolo Testata:
International journal of theoretical physics
fascicolo: 5, volume: 33, anno: 1994,
pagine: 1113 - 1161
SICI:
0020-7748(1994)33:5<1113:PMOC>2.0.ZU;2-T
Fonte:
ISI
Lingua:
ENG
Soggetto:
TERMINAL ATTRACTORS; NEWTONIAN DYNAMICS; NEURAL NETWORKS; NEURODYNAMICS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
21
Recensione:
Indirizzi per estratti:
Citazione:
M. Zak, "PHYSICAL MODELS OF COGNITION", International journal of theoretical physics, 33(5), 1994, pp. 1113-1161

Abstract

This paper presents and discusses physical models for simulating someaspects of neural intelligence, and, in particular, the process of cognition. The main departure from the classical approach here is in utilization of a terminal version of classical dynamics introduced by theauthor earlier. Based upon violations of the Lipschitz condition at equilibrium points, terminal dynamics attains two new fundamental properties: it is spontaneous and nondeterministic. Special attention is focused on terminal neurodynamics as a particular architecture of terminal dynamics possesses a well-organized probabilistic structure which can be analytically predicted, prescribed, and controlled, and therefore which presents a powerful tool for modeling real-life uncertainties. Two basic phenomena associated with random behavior of neurodynamic solutions are exploited. The first one is a stochastic attractor - a stable stationary stochastic process to which random solutions of a closed system converge. As a model of the cognition process, a stochastic attractor can be viewed as a universal tool for generalization and formation of classes of patterns. The concept of stochastic attractor is applied to model a collective brain paradigm explaining coordination between simple units of intelligence which perform a collective task without direct exchange of information. The second fundamental phenomenon discussed is terminal chaos which occurs in open systems. Applications of terminal chaos to information fusion as well as to explanation and modeling of coordination among neurons in biological systems are discussed. It should be emphasized that all the models of terminal neurodynamics are implementable in analog devices, which means that all thecognition processes discussed in the paper are reducible to the laws of Newtonian mechanics.

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Documento generato il 10/07/20 alle ore 00:15:33