A Caltech Library Service

An Analog VLSI Model of Central Pattern Generation in the Leech

Siegel, Micah S. (1994) An Analog VLSI Model of Central Pattern Generation in the Leech. In: Advances in Neural Information Processing Systems 6 (NIPS 1993). Advances in Neural Information Processing Systems. No.6. Morgan Kaufmann , San Francisco, CA, pp. 622-628. ISBN 1-55860-322-0.

[img] PDF - Published Version
See Usage Policy.


Use this Persistent URL to link to this item:


I detail the design and construction of an analog VLSI model of the neural system responsible for swimming behaviors of the leech. Why the leech? The biological network is small and relatively well understood, and the silicon model can therefore span three levels of organization in the leech nervous system (neuron, ganglion, system); it represents one of the first comprehensive models of leech swimming operating in real-time. The circuit employs biophysically motivated analog neurons networked to form multiple biologically inspired silicon ganglia. These ganglia are coupled using known interganglionic connections. Thus the model retains the flavor of its biological counterpart, and though simplified, the output of the silicon circuit is similar to the output of the leech swim central pattern generator. The model operates on the same time- and spatial-scale as the leech nervous system and will provide an excellent platform with which to explore real-time adaptive locomotion in the leech and other "simple" invertebrate nervous systems.

Item Type:Book Section
Related URLs:
URLURL TypeDescription
Additional Information:© 1994 Morgan Kaufmann. I would like to thank the department of Electrical Engineering at Yale University for encouraging and generously supporting independent undergraduate research.
Series Name:Advances in Neural Information Processing Systems
Issue or Number:6
Record Number:CaltechAUTHORS:20160211-162051323
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:64439
Deposited By: Kristin Buxton
Deposited On:19 Feb 2016 22:04
Last Modified:03 Oct 2019 09:38

Repository Staff Only: item control page