Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/100770
Title: Dynamical systems : a tool for analysis and design of silicon half center oscillators
Authors: Li, Fei
Basu, Arindam
Cohen, Avis H.
Chang, Chip Hong
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2011
Source: Li, F., Basu, A., Chang, C. H., & Cohen, A. H. (2011). Dynamical systems: A tool for analysis and design of silicon half center oscillators. IEEE Biomedical Circuits and Systems Conference (BioCAS 2011), 249-252.
Conference: IEEE Biomedical Circuits and Systems Conference (BioCAS) (2011 : San Diego, California, US)
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.
URI: https://hdl.handle.net/10356/100770
http://hdl.handle.net/10220/19331
DOI: 10.1109/BioCAS.2011.6107774
Schools: School of Electrical and Electronic Engineering 
Rights: © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/BioCAS.2011.6107774].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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