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Modeling Small Oscillating Biological Networks in Analog VLSI

Ryckebusch, Sylvie and Bower, James M. and Mead, Carver (1989) Modeling Small Oscillating Biological Networks in Analog VLSI. In: Advances in Neural Information Processing Systems. Vol.1. Morgan Kaufmann Publishers , San Mateo, CA, pp. 384-393. ISBN 1558600159.

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We have used analog VLSI technology to model a class of small oscillating biological neural circuits known as central pattern generators (CPG). These circuits generate rhythmic patterns of activity which drive locomotor behaviour in the animal. We have designed, fabricated, and tested a model neuron circuit which relies on many of the same mechanisms as a biological central pattern generator neuron, such as delays and internal feedback. We show that this neuron can be used to build several small circuits based on known biological CPG circuits, and that these circuits produce patterns of output which are very similar to the observed biological patterns.

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Additional Information:© 1989 Morgan Kaufmann. This work relies on information supplied by the hard work of many experimentalists. We would especially like to acknowledge the effort and dedication of Peter Getting who devoted 12 years to understanding the organization of the Tritonia network of 14 neurons. We also thank Hewlett-Packard for computing support, and DARPA and MOSIS for chip fabrication. This work was sponsored by the Office of Naval Research, the System Development Foundation, and the NSF (EET-8700064 to J.B.).
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Defense Advanced Research Projects Agency (DARPA)UNSPECIFIED
Office of Naval Research (ONR)UNSPECIFIED
System Development FoundationUNSPECIFIED
Record Number:CaltechAUTHORS:20141212-145236780
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:52786
Deposited On:18 Dec 2014 00:46
Last Modified:03 Oct 2019 07:44

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