Stability assessment of the leech swim oscillator using a VLSI-based model

Author

Laffely, Andrew J. ; Wolpert, Seth

Author_Institution

Dept. of Electr. & Comput. Eng., Maine Univ., Orono, ME, USA

fYear

1995

fDate

22-23 May 1995

Firstpage

89

Lastpage

91

Abstract

VLSI-based artificial neurons are used to realize neuronal oscillatory networks. A comprehensive electronic model of the Hirudo swim oscillator is recreated and subjected to numerous parametric variations. This, combined with similar analyses of the mutually and cyclically inhibited subnetworks embedded in the network, provides a good indication of the origins of network stability. Test data indicate that different sub-network types exhibit immunity to contrasting parameters, and that the overall swim oscillator network is more stable than either sub-network type alone

Keywords

CMOS analogue integrated circuits; VLSI; application specific integrated circuits; bioelectric potentials; biomembrane transport; neural chips; neurophysiology; physiological models; Hirudo swim oscillator; VLSI-based artificial neurons; VLSI-based model; comprehensive electronic model; contrasting parameters; custom CMOS integrated circuits; cyclically inhibited subnetworks; leech swim oscillator; network stability; neuronal oscillatory networks; parametric variations; stability assessment; sub-network types; swim oscillator network; Biological system modeling; Biomembranes; Cells (biology); Cellular networks; Neurons; Oscillators; Phase measurement; Semiconductor device modeling; Stability analysis; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 1995., Proceedings of the 1995 IEEE 21st Annual Northeast

Conference_Location

Bar Harbor, ME

Print_ISBN

0-7803-2692-X

Type

conf

DOI

10.1109/NEBC.1995.513745

Filename

513745