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
Using the general linear model to improve performance in fN..:
von Lühmann, Alexander
;
Ortega-Martinez, Antonio
;
Boas, David A
.
Front Hum Neurosci. , 2020
Link:
https://hdl.handle.net/2144/40889
RT Journal T1
Using the general linear model to improve performance in fNIRS single trial analysis and classification: a perspective
UL https://suche.suub.uni-bremen.de/peid=base-ftbostonuniv:oai:open.bu.edu:2144_40889&Exemplar=1&LAN=DE A1 von Lühmann, Alexander A1 Ortega-Martinez, Antonio A1 Boas, David A A1 Yücel, Meryem Ayşe YR 2020 K1 BCI K1 GLM K1 HRF K1 Classification K1 fNIRS K1 Nuisance regression K1 Preprocessing K1 Short-separation K1 Experimental psychology K1 Neurosciences K1 Psychology K1 Cognitive sciences JF Front Hum Neurosci LK http://dx.doi.org/https://hdl.handle.net/2144/40889 DO https://hdl.handle.net/2144/40889 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)