An asynchronous parallel neuromorphic ADC architecture

Jonathan Tapson, André van Schaik

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

10 Citations (Scopus)

Abstract

A new parallel ADC architecture is presented which makes use of neuromorphic principles to be fast, accurate, and robust to noise and circuit mismatch. The architecture uses spiking integrate-and-fire neurons as base elements, with lateral inhibition to decohere the parallel pathways, and alternate on-and off-triggered paths to maintain a constant spike rate. Results from a proof-of-concept circuit reinforce the analytical conclusion that this circuit can make a practical ADC.
Original languageEnglish
Title of host publication2012 IEEE International Symposium on Circuits and Systems: ISCAS 2012: 20-23 May 2012, Seoul, Korea
PublisherIEEE
Pages2409-2412
Number of pages4
ISBN (Print)9781467302197
DOIs
Publication statusPublished - 2012
EventIEEE International Symposium on Circuits and Systems -
Duration: 20 May 2012 → …

Conference

ConferenceIEEE International Symposium on Circuits and Systems
Period20/05/12 → …

Keywords

  • ADC architectures
  • analog-to-digital converters
  • electric network analysis
  • neuromorphic
  • neurons

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