DocumentCode
2716439
Title
Dynamical systems: A tool for analysis and design of silicon half center oscillators
Author
Li, Fei ; Basu, Arindam ; Chang, Chip-Hong ; Cohen, Avis H.
Author_Institution
IC Design Center of Excellence, Nanyang Technol. Univ., Singapore, Singapore
fYear
2011
fDate
10-12 Nov. 2011
Firstpage
249
Lastpage
252
Abstract
In this paper, a new oscillator circuit for central pattern generator systems has been proposed. Switched-capacitor technique which enables controllable, more accurate and stable resistance has been used. Oscillation frequency can be easily controlled by the frequency of switching which is very useful for global change of oscillation frequency in an array of oscillators. SPICE simulation and dynamical systems analysis have shown that when used as a single oscillator, the proposed circuit is able to produce a phase response curve (PRC) close to the one of a lamprey central pattern generator (CPG) system. Applying averaging theory to the system of coupled oscillators, we obtain averaged H and G functions for unidirectional and bidirectional coupling cases. Analysis of these functions shows our circuit´s superior capability to achieve fast entrained oscillation with sensory feedback and reach equilibrium even with high frequency mismatch.
Keywords
brain models; neural nets; nonlinear dynamical systems; oscillators; switched capacitor networks; zoology; PRC; SPICE simulation; averaging theory; central pattern generator systems; coupled oscillator system; dynamical system analysis; dynamical systems; lamprey CPG system; lamprey central pattern generator system; oscillation frequency; oscillator array; oscillator circuit; phase response curve; silicon half center oscillator analysis; silicon half center oscillator design; switched capacitor technique; switching frequency; Capacitors; Couplings; Integrated circuit modeling; Mathematical model; Oscillators; Resistors; Silicon;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Circuits and Systems Conference (BioCAS), 2011 IEEE
Conference_Location
San Diego, CA
Print_ISBN
978-1-4577-1469-6
Type
conf
DOI
10.1109/BioCAS.2011.6107774
Filename
6107774
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