Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Papers: 10.1002/hbm.25089
https://doi.org/10.1002/hbm.25089
Can we predict real‐time <scp>fMRI</scp> neurofeedback learning success from pretraining brain activity?
Cited by: 25
Author(s): Amelie Haugg, Ronald Sladky, Stavros Skouras, Amalia McDonald, Cameron Craddock, Matthias Kirschner, Marcus Herdener, Yury Koush, Marina Papoutsi, Jackob Nimrod Keynan, Talma Hendler, Kathrin Cohen Kadosh, Catharina Zich, Jeff MacInnes, R. Alison Adcock, Kathryn C. Dickerson, Nan‐kuei Chen, Kymberly Young, Jerzy Bodurka, Shuxia Yao, Benjamin Becker, Tibor Auer, Renate Schweizer, Gustavo Santo Pedro Pamplona, Kirsten Emmert, Sven Haller, Dimitri Van De Ville, Maria Laura Blefari, 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
Published: over 4 years ago