I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
An On-Chip Learning Accelerator for Spiking Neural Networks..:
, In:
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE)
,
Kulkarni, Shruti R.
;
Yin, Shihui
;
Seo, Jae-sun
. - p. 1019-1024 , 2020
Link:
https://doi.org/10.23919/DATE48585.2020.9116226
RT T1
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE)
: T1
An On-Chip Learning Accelerator for Spiking Neural Networks using STT-RAM Crossbar Arrays
UL https://suche.suub.uni-bremen.de/peid=ieee-9116226&Exemplar=1&LAN=DE A1 Kulkarni, Shruti R. A1 Yin, Shihui A1 Seo, Jae-sun A1 Rajendran, Bipin YR 2020 SN 1558-1101 K1 Nonvolatile memory K1 Neurons K1 Random access memory K1 Phase change materials K1 Training K1 Biological neural networks K1 Hardware K1 Neuromorphic hardware K1 Spiking Neural Networks K1 crossbar arrays K1 STT-RAM SP 1019 OP 1024 LK http://dx.doi.org/https://doi.org/10.23919/DATE48585.2020.9116226 DO https://doi.org/10.23919/DATE48585.2020.9116226 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)