Chaotic wandering and its sensitivity to external input in a chaotic neural network

Dynamical properties of chaotic neural network in chaotic wandering state are studied concerning sensitivity to external inputs. The number of the attractor basins which time dependent vector can visit during chaotic wandering depends on the dynamical complexity of chaos. When one applies the external input consisting of a memory fragment to the network, within several iteration steps the orbit reach the basin of the memory attractor.