Signal Processing Foundations for Time-Based Signal Representations: Neurobiological parallels to engineered systems designed for energy efficiency or hardware simplicity

Research output: Contribution to journalArticle

Abstract

Neurobiological systems operate at power levels that are unattainable by modern electronic systems while exhibiting broader information processing capabilities for a number of important tasks. A variety of engineered systems designed for energy efficiency or hardware simplicity use time-based signal representations, which share similar mathematical principles with those that arise naturally in biology. In general, time-based signal representations refer to embedding information into the timing, density, or duration of a predetermined, and often bipolar, waveform. In mammalian nervous systems, it is generally accepted that neurons embed information into the timing and firing density of the sudden changes in their membrane potential, or spikes. Similarly, many low-power electronic systems use signal representations that embed information in the timing, repetition frequency, or duration of simple pulse waveforms. Despite their apparent similarities, such signal representations are often studied in different contexts.

Original languageEnglish (US)
Article number8887568
Pages (from-to)38-50
Number of pages13
JournalIEEE Signal Processing Magazine
Volume36
Issue number6
DOIs
StatePublished - Nov 2019

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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