Show simple item record

dc.contributor.authorYan, Yangtian
dc.date.accessioned2022-08-26 14:15:55 (GMT)
dc.date.available2022-08-26 14:15:55 (GMT)
dc.date.issued2022-08-26
dc.date.submitted2022-08-19
dc.identifier.urihttp://hdl.handle.net/10012/18648
dc.description.abstractSpiking neural networks (SNNs) are an emerging class of biologically inspired Artificial Neural Networks implemented in machine learning and artificial intelligence. Current state-of-the-art small- and large-scale SNNs are mainly implemented as digital hardware with time-multiplexing techniques to achieve power efficiency. In this thesis, a 65 nm CMOS mixed signal asynchronous SNN implementation was designed and simulated. The proposed design reduces hardware and timing complexity over existing implementations and opens opportunities for further larger-scale implementations.en
dc.language.isoenen
dc.publisherUniversity of Waterlooen
dc.relation.uriMNISTen
dc.subjectartificial intelligenceen
dc.subjectCMOSen
dc.subjectneural networken
dc.subjectartificial neural networken
dc.subjectspiking neural networken
dc.subjectmachine learningen
dc.subjectmixed signal ICen
dc.titleA Mixed Signal 65nm CMOS Implementation of a Spiking Neural Networken
dc.typeMaster Thesisen
dc.pendingfalse
uws-etd.degree.departmentElectrical and Computer Engineeringen
uws-etd.degree.disciplineElectrical and Computer Engineeringen
uws-etd.degree.grantorUniversity of Waterlooen
uws-etd.degreeMaster of Applied Scienceen
uws-etd.embargo.terms0en
uws.contributor.advisorWright, Derek
uws.contributor.affiliation1Faculty of Engineeringen
uws.published.cityWaterlooen
uws.published.countryCanadaen
uws.published.provinceOntarioen
uws.typeOfResourceTexten
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record


UWSpace

University of Waterloo Library
200 University Avenue West
Waterloo, Ontario, Canada N2L 3G1
519 888 4883

All items in UWSpace are protected by copyright, with all rights reserved.

DSpace software

Service outages