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Triplet spike time dependent plasticity in a floating-gate synapse

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Synapses plays an important role of learning in a neural network; the learning rules which modify the synaptic strength based on the timing difference between the pre- and post-synaptic spike occurrence is termed as Spike Time Dependent Plasticity (STDP). This paper describes the compact implementation of a synapse using single floating-gate (FG) transistor (and two additional high voltage transistors) that can store a weight in a non-volatile manner and demonstrate the triplet STDP (T-STDP) learning rule developed to explain biologically observed plasticity. We describe a mathematical procedure to obtain control voltages for the FG device for T-STDP and also show measurement results, from a FG synapse fabricated in TSMC 0.35μm CMOS process to support the theory.
Original languageEnglish
Title of host publication2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015
PublisherIEEE
Pages710-713
Volume2015-July
ISBN (Print)9781479983919
DOIs
Publication statusPublished - 27 Jul 2015
Externally publishedYes
EventIEEE International Symposium on Circuits and Systems, ISCAS 2015 - Lisbon, Portugal
Duration: 24 May 201527 May 2015

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2015-July
ISSN (Print)0271-4310

Conference

ConferenceIEEE International Symposium on Circuits and Systems, ISCAS 2015
PlacePortugal
CityLisbon
Period24/05/1527/05/15

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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