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