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Proceedings Paper

Biologically motivated analog-to-digital conversion
Author(s): Eugene K Ressler; Barry L Shoop; Brian C Watson; Pankaj K Das
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Paper Abstract

Biologically-motivated analog-to-digital (A/D) conversion considers the charge-fire cycles of neurons in biological systems as binary oversampled A/D conversion processes. Feedback mechanisms have been hypothesized that coordinate charge-fire cycles in a manner that suppresses noise in the signal baseband of the power spectrum of output spikes, also a central goal of A/D converter design. Biological systems succeed admirably despite the slow and imprecise characteristics of individual neurons. In A/D converters of very high speed and precision, where electronic/photonic devices also appear slow and imprecise, neural architectures offer a path for advancing the performance frontier. In this work, we provide a new analysis framework and simulation results directed toward that goal.

Paper Details

Date Published: 30 December 2003
PDF: 12 pages
Proc. SPIE 5200, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI, (30 December 2003); doi: 10.1117/12.506123
Show Author Affiliations
Eugene K Ressler, U.S. Military Academy/West Point (United States)
Barry L Shoop, U.S. Military Academy/West Point (United States)
Brian C Watson, Univ. of California/San Diego (United States)
Pankaj K Das, Univ. of California/San Diego (United States)


Published in SPIE Proceedings Vol. 5200:
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI
Bruno Bosacchi; David B. Fogel; James C. Bezdek, Editor(s)

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