This book contains a thorough treatment of neural networks, cellular-automata and synergetics, in an attempt to provide three different approaches to nonlinear phenomena in complex systems. These topics are of major interest to physicists active in the fields of statistical mechanics and dynamical systems. They have been developed with a high degree of sophistication and include the refinements necessary to work with the complexity of real systems as well as the more recent research developments in these areas.The presynaptic neuron j couples to the postsynaptic cell i through its firing rate xj , with a weighting factor Vii. The wiring diagram of the network is specified by the matrix V = (Vii) of the weights. As implied by the notation, V plays the same roleanbsp;...
|Title||:||Nonlinear Phenomena in Complex Systems|
|Publisher||:||Elsevier - 2012-12-02|