MEMORY ENCODING BY OSCILLATOR DEATH

We study associative-memory properties of networks of neural oscillato rs which are described by the phase degrees of freedom (phase-rotators ). It is shown that a certain network of phase rotators exhibits an as sociative-memory function created by the cessation of oscillations rat her than the synchronization. The phenomenon corresponds to the memory retrieval by oscillator death. The equilibrium properties of the mode l network are both analytically and numerically investigated using the self-consistent signal-to-noise analysis which was proposed for the a nalogue-neuron networks with a wide class of input-output functions of a neuron. Besides the standard type of storage capacity which ensures the presence of retrieval solutions, there exists another critical st orage level below which the network ceases to have perfect cessation o f oscillations in retrieval. A similar critical storage level is obtai ned for spin glass solutions.