Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Predictors of real-time fMRI neurofeedback performance and improvement - A ..."

Amelie Haugg et al. (2021)

> Home

Details and statistics

DOI: 10.1016/J.NEUROIMAGE.2021.118207

access: open

type: Journal Article

metadata version: 2024-02-05

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/neuroimage/HauggRNLGSSMCHK21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/neuroimage/HauggRNLGSSMCHK21
Amelie Haugg, Fabian M. Renz, Andrew A. Nicholson, Cindy Lor, Sebastian J. Götzendorfer, Ronald Sladky, Stavros Skouras, Amalia McDonald, R. Cameron Craddock, Lydia Hellrung, Matthias Kirschner, Marcus Herdener, Yury Koush, Marina Papoutsi, Nimrod Jakob Keynan, Talma Hendler, Kathrin Cohen Kadosh, Catharina Zich, Simon H. Kohl, Manfred Hallschmid, Jeff MacInnes, R. Alison Adcock, Kathryn C. Dickerson, Nan-kuei Chen, Kymberly D. Young, Jerzy Bodurka, Michael Marxen, Shuxia Yao, Benjamin Becker, Tibor Auer, Renate Schweizer, Gustavo S. P. Pamplona, Ruth A. Lanius, Kirsten Emmert, Sven Haller, Dimitri Van De Ville, Dong-Youl Kim, Jong-Hwan Lee, Theo Marins, Fukuda Megumi, Bettina Sorger, Tabea Kamp, Sook-Lei Liew, Ralf Veit, Maartje S. Spetter, Nikolaus Weiskopf, Frank Scharnowski, David Steyrl:
Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis. NeuroImage 237: 118207 (2021)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.