DocumentCode :
567855
Title :
A novel tunable neural oscillator for biological rhythmic behaviors
Author :
Zhao, Wei ; Peckerar, Martin
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Maryland Coll. Park, College Park, MD, USA
fYear :
2012
fDate :
5-8 Aug. 2012
Firstpage :
77
Lastpage :
80
Abstract :
Autonomic oscillatory activities exist in almost every living thing and most of them are produced by rhythmic activities of the corresponding neural system. This paper proposes a neural oscillator based on the control of a Schmitt Trigger. The oscillator implements 3 neuron cells and 4 synapse circuits, and integrates them into a compact neural network with a source neuron driving two oscillating cells, which inhibit each other. The proposed neural oscillator, with tunable duty cycle and frequency, is simulated in Pspice 16 using 1.2um CMOS process.
Keywords :
CMOS integrated circuits; SPICE; circuit simulation; circuit tuning; neural nets; oscillators; trigger circuits; CMOS process; Pspice 16; Schmitt trigger control; autonomic oscillatory activities; biological rhythmic behaviors; compact neural network; neural system; neuron cells; oscillating cells; size 1.2 mum; source neuron; synapse circuits; tunable duty cycle; tunable frequency oscillator; tunable neural oscillator; Biological neural networks; Biological system modeling; Computational modeling; Integrated circuit modeling; Neurons; Oscillators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (MWSCAS), 2012 IEEE 55th International Midwest Symposium on
Conference_Location :
Boise, ID
ISSN :
1548-3746
Print_ISBN :
978-1-4673-2526-4
Electronic_ISBN :
1548-3746
Type :
conf
DOI :
10.1109/MWSCAS.2012.6291961
Filename :
6291961
Link To Document :
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