DocumentCode :
2318075
Title :
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
Link To Document :
بازگشت