Biologically motivated analog-to-digital conversion

Eugene K Ressler; Barry L Shoop; Brian C Watson; Pankaj K Das

doi:10.1117/12.506123

30 December 2003 Biologically motivated analog-to-digital conversion

Eugene K Ressler, Barry L Shoop, Brian C Watson, Pankaj K Das

Proceedings Volume 5200, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI; (2003) https://doi.org/10.1117/12.506123
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

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.

Citation Download Citation

Eugene K Ressler, Barry L Shoop, Brian C Watson, and Pankaj K Das "Biologically motivated analog-to-digital conversion", Proc. SPIE 5200, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI, (30 December 2003); https://doi.org/10.1117/12.506123

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