Cort-X II: Low Power Element Design of a Large-Scale Spatio-Temporaral Pattern Clustering System

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CortXII_ISCAS07.pdf (507.47 KB)
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neural network
spatio-temporal pattern
logistic map
recognition
non-linear elements
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https://repository.upenn.edu/handle/20.500.14332/33434
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Yuan, Jie
Song, Ning
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Complex spatio-temporal patterns can be clustered using a network of parametrically coupled logistic maps. This paper describes the processing element design of such a Cort-X system. Each Cort-X element consists of a non-linear coupling (LC) and a non-linear dynamic element (IRON). The circuits are designed for low-power operation and to be robust against process variations. This has been accomplished by using openloop circuits, and a self-calibration technique that compensate for process variations. The circuits were implemented in a 0.25 um, 2.5V CMOS process and consumes a total of 12mW of power at 1MHz which is about a factor of 20 less power than previous realizations. This opens the possibility for building a large-scale Cort-X system on a chip for the recognition of complex spatio-temporal patterns.

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2007-05-01
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2023-05-17T00:51:01.000
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Copyright 2007 IEEE. Published in the Proceedings of the IEEE International Sympsium of Circuits and Systems (ISCAS), pp. 1017-1020, May 2007. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
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