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
Synaptic turnover promotes efficient learning in bio-realis..:
, In:
2023 57th Asilomar Conference on Signals, Systems, and Computers
,
Malakasis, Nikos
;
Chavlis, Spyridon
;
Poirazi, Panayiota
- p. 942-949 , 2023
Link:
https://doi.org/10.1109/IEEECONF59524.2023.10476829
RT T1
2023 57th Asilomar Conference on Signals, Systems, and Computers
: T1
Synaptic turnover promotes efficient learning in bio-realistic spiking neural networks
UL https://suche.suub.uni-bremen.de/peid=ieee-10476829&Exemplar=1&LAN=DE A1 Malakasis, Nikos A1 Chavlis, Spyridon A1 Poirazi, Panayiota YR 2023 SN 2576-2303 K1 Service robots K1 Biological system modeling K1 Computer architecture K1 Machine learning K1 Hardware K1 Real-time systems K1 Task analysis K1 dendrites K1 spiking neural network K1 structural plasticity K1 synaptic turnover SP 942 OP 949 LK http://dx.doi.org/https://doi.org/10.1109/IEEECONF59524.2023.10476829 DO https://doi.org/10.1109/IEEECONF59524.2023.10476829 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)