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Title page for ETD etd-11182019-150037

Type of Document Master's Thesis
Author Brewer, Rachel Mae
Author's Email Address rachel.m.brewer@vanderbilt.edu
URN etd-11182019-150037
Title The Impact of Proton-Induced Single Events on Image Classification in a Neuromorphic Computing Architecture
Degree Master of Science
Department Electrical Engineering
Advisory Committee
Advisor Name Title
Brian D. Sierawski Committee Chair
Ronald D. Schrimpf Committee Member
  • single event upset
  • single event effect
  • radiation effects
  • neuromorphic computing
  • image classification
  • TrueNorth
Date of Defense 2019-11-08
Availability unrestricted
Neuromorphic computing endeavors to imitate the way biological brains process information and problem-solves. Uses for neuromorphic computing span disciplines and include applications in image processing, audio processing, optimization, and more. This work explores the effect of proton-induced single-event upsets on a neuromorphic computing architecture engaged in image recognition. Two main results are found. One, the overall classification accuracy is unchanged although a high number of hidden, tolerable errors occurred. Additionally, single event upsets are found to alter the relative occurrence of false positives and false negatives, which occurred despite the overall classification accuracy remaining unaffected.
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