Lyapunov exponents and dimensions of chaotic neural networks
Michael Bauer, W. Martienssen · Journal of Physics A Mathematical and General · 1991
Dynamical properties of a network model composed of N continuous elements with randomly chosen asymmetrical couplings and reduced connectivity are studied. The authors calculate numerically Lyapunov exponents and dimensions for chaotic and non-chaotic states of the network. The dependence of the parameters can be described analytically, in good agreement with the numerical data.