Self-Organization in a Spin Model of Chaos Neural Network

Adaptive self-organization in a realistic neural network model.

Information processing in complex systems is often found to be maximally efficient close to critical states associated with phase transitions. It is therefore conceivable that also neural information processing operates close to criticality. This is further supported by the observation of power-law distributions, which are a hallmark of phase transitions. An important open question is how neura...

Neural network, self-organization and object extraction

Ghosh, A., and S.K. Pal, Neural network, self-organization and object extraction, Paitern Recognition Letters l3 (1992) 387-397. Algorithms for object extraction nsing a nenral network are proposed. A single nenron (processor) is assigned here to every pixel for its operalion in order to implement {he concept of self-organized fealnre mapping. Both global and local information have been used as...

Chaos, self-organization, and psychology.

A variety of investigators in recent years have proposed models of psychological systems based on the concepts of chaos, nonlinear dynamics, and self-organization. Unfortunately, psychologists in general have little understanding of these important ideas. These terms are defined, and their relationships are discussed. The value of applying these concepts to psychological systems is demonstrated...

A Neural Network Architecture for Self-Organization of Object Understanding

Chaos and Self-Organization in Companies