DocumentCode
352910
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
Volume
4
fYear
2000
fDate
2000
Firstpage
41
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location
Como
ISSN
1098-7576
Print_ISBN
0-7695-0619-4
Type
conf
DOI
10.1109/IJCNN.2000.860746
Filename
860746
Link To Document