Neural computations by networks of oscillators
Frank Charles Hoppensteadt, Eugene M. Izhikevich · 2000
We describe here how a network of oscillators can perform neural computations. In particular, it shown how the connectivity within the network can be created to memorize data in terms of phase relations between synchronized states. The memorized states are extracted through correlation calculations. The influence of noise on the system is discussed.