A CMOS Synapse Design Implementing Tunable Asymmetric Spike Timing-Dependent Plasticity

Robert C. Ivans, Kurtis D. Cantley, Justin L. Shumaker

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Scopus citations
1 Downloads (Pure)

Abstract

A CMOS synapse design is presented which can perform tunable asymmetric spike timing-dependent learning in asynchronous spiking neural networks. The overall design consists of three primary subcircuit blocks, and the operation of each is described. Pair-based Spike Timing-Dependent Plasticity (STDP) of the entire synapse is then demonstrated through simulation using the Cadence Virtuoso platform. Tuning of the STDP curve learning window and rate of synaptic weight change is possible using various control parameters. With appropriate settings, it is shown the resulting learning rule closely matches that observed in biological systems.

Original languageAmerican English
Title of host publication2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1125-1128
Number of pages4
ISBN (Electronic)9781509063895
DOIs
StatePublished - Oct 2017
Event60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017 - Boston, United States
Duration: 6 Aug 20179 Aug 2017

Publication series

Name1548-3746

Conference

Conference60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017
Country/TerritoryUnited States
CityBoston
Period6/08/179/08/17

Keywords

  • CMOS synapse
  • neuromorphic design
  • spike timing-dependent plasticity (STDP)

EGS Disciplines

  • Electrical and Computer Engineering

Fingerprint

Dive into the research topics of 'A CMOS Synapse Design Implementing Tunable Asymmetric Spike Timing-Dependent Plasticity'. Together they form a unique fingerprint.

Cite this