Numerical Bifurcation Analysis of a Model of Coupled Neural Oscillators
Alexander I. Khibnik, Roman M Borisyuk, Dirk Roose · Birkhäuser Basel eBooks · 1992
Biological and artificial neural networks that consist of coupled neural oscillators receive much attention in neural network modelling nowadays. The construction of a network of this type requires the selection of a mathematical model for a single neural oscillator and the choice of a mechanism to couple the oscillators. Furthermore, one can consider neural oscillators that are all identical to each other or oscillators with different parameters (e.g., different intrinsic frequencies). These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.