No abstract

We present a method for transmitting digital information by modulation between a nonchaotic strange attractor and another chaotic or nonchaotic attractor. The information is recovered at the receiver by employing the synchronization between the nonchaotic attractors of the receiver and the transmitter. It is demonstrated by numerical simulations that the method is secure and robust to external noise.

A simple model for a set of interacting idealized neurons with small-world structure is introduced. The basic elements of the model are endowed with the main features of a neuron function. We find that our model displays power-law behavior of avalanche sizes and generates long-range temporal correlations and 1/f noise. More importantly, we find there are different avalanche dynamical behaviors for different phi, the density of short paths in the network.