DocumentCode :
1786835
Title :
Neuro inspired computing with coupled relaxation oscillators
Author :
Datta, Soupayan ; Shukla, Nitin ; Cotter, Matthew ; Parihar, Abhinav ; Raychowdhury, Arijit
Author_Institution :
Dept. of Electr. Eng., Penn State Univ., University Park, PA, USA
fYear :
2014
fDate :
1-5 June 2014
Firstpage :
1
Lastpage :
6
Abstract :
Harnessing the computational capabilities of dynamical systems has attracted the attention of scientists and engineers form varied technical disciplines over decades. The time evolution of coupled, non-linear synchronous oscillatory systems has led to active research in understanding their dynamical properties and exploring their applications in brain-inspired, neuromorphic computational models. In this paper we present the realization of coupled and scalable relaxation-oscillators utilizing the metal-insulator-metal transition of vanadium-dioxide (VO2) thin films. We demonstrate the potential use of such a system in pattern recognition, as one possible computational model using such a system.
Keywords :
MIM devices; coupled circuits; relaxation oscillators; thin film circuits; vanadium compounds; VO2; brain-inspired neuromorphic computational model; coupled nonlinear synchronous oscillatory system; coupled relaxation oscillator; metal-insulator-metal transition; neuro inspired computing; pattern recognition; thin film; Conductivity; Couplings; Electric fields; Oscillators; Pattern matching; Resistance; Synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference (DAC), 2014 51st ACM/EDAC/IEEE
Conference_Location :
San Francisco, CA
Type :
conf
DOI :
10.1145/2593069.2596685
Filename :
6881401
Link To Document :
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