Title :
Neural computations by networks of oscillators
Author :
Hoppensteadt, Frank ; Izhikevich, Eugene
Author_Institution :
Sys. Sci. & Eng. Res. Center, Arizona State Univ., Tempe, AZ, USA
Abstract :
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
Keywords :
correlation methods; neural nets; noise; oscillators; connectivity; neural computations; noise; oscillator networks; phase relations; synchronized states; Circuit noise; Computer networks; Data mining; Electronic circuits; Frequency synchronization; Local oscillators; Low pass filters; Phase locked loops; Phased arrays; Systems engineering and theory;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.860746
