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Frank Scharnowski

Showing results (21-30 of 75) with videos related to

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Neuroimage|November 14, 2018
Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studiesBettina Sorger, Frank Scharnowski, David E J Linden, et al.
Journal of Vision|September 19, 2009
Long-lasting modulation of feature integration by transcranial magnetic stimulationFrank Scharnowski, Johannes Rüter, Jacob Jolij, et al.
Neuroinformatics|January 5, 2020
Personode: A Toolbox for ICA Map Classification and Individualized ROI DefinitionGustavo S P Pamplona, Bruno H Vieira, Frank Scharnowski, et al.
Plos One|September 6, 2024
Using machine learning to predict judgments on Western visual art along content-representational and formal-perceptual attributesBlanca T M Spee, Helmut Leder, Jan Mikuni, et al.
Neuropsychological Rehabilitation|April 8, 2017
Using real-time fMRI neurofeedback to restore right occipital cortex activity in patients with left visuo-spatial neglect: proof-of-principle and preliminary resultsFabien Robineau, Arnaud Saj, Rémi Neveu, et al.
Scientific Reports|August 10, 2023
Machine learning revealed symbolism, emotionality, and imaginativeness as primary predictors of creativity evaluations of western art paintingsBlanca T M Spee, Jan Mikuni, Helmut Leder, et al.
Neuroimage. Clinical|February 13, 2023
Pre- and post-task resting-state differs in clinical populationsCindy Sumaly Lor, Mengfan Zhang, Alexander Karner, et al.
Plos One|March 11, 2014
Connectivity changes underlying neurofeedback training of visual cortex activityFrank Scharnowski, Maria Joao Rosa, Narly Golestani, et al.
Neuroimage|December 31, 2018
Brain networks for engaging oneself in positive-social emotion regulationYury Koush, Swann Pichon, Simon B Eickhoff, et al.
Communications Biology|August 19, 2022
Analysis of individual differences in neurofeedback training illuminates successful self-regulation of the dopaminergic midbrainLydia Hellrung, Matthias Kirschner, James Sulzer, et al.
Pageof 8

Showing results (21-30 of 75) with videos related to

Sort By:
Pageof 8
Neuroimage|November 14, 2018
Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studiesBettina Sorger, Frank Scharnowski, David E J Linden, et al.
Journal of Vision|September 19, 2009
Long-lasting modulation of feature integration by transcranial magnetic stimulationFrank Scharnowski, Johannes Rüter, Jacob Jolij, et al.
Neuroinformatics|January 5, 2020
Personode: A Toolbox for ICA Map Classification and Individualized ROI DefinitionGustavo S P Pamplona, Bruno H Vieira, Frank Scharnowski, et al.
Plos One|September 6, 2024
Using machine learning to predict judgments on Western visual art along content-representational and formal-perceptual attributesBlanca T M Spee, Helmut Leder, Jan Mikuni, et al.
Neuropsychological Rehabilitation|April 8, 2017
Using real-time fMRI neurofeedback to restore right occipital cortex activity in patients with left visuo-spatial neglect: proof-of-principle and preliminary resultsFabien Robineau, Arnaud Saj, Rémi Neveu, et al.
Scientific Reports|August 10, 2023
Machine learning revealed symbolism, emotionality, and imaginativeness as primary predictors of creativity evaluations of western art paintingsBlanca T M Spee, Jan Mikuni, Helmut Leder, et al.
Neuroimage. Clinical|February 13, 2023
Pre- and post-task resting-state differs in clinical populationsCindy Sumaly Lor, Mengfan Zhang, Alexander Karner, et al.
Plos One|March 11, 2014
Connectivity changes underlying neurofeedback training of visual cortex activityFrank Scharnowski, Maria Joao Rosa, Narly Golestani, et al.
Neuroimage|December 31, 2018
Brain networks for engaging oneself in positive-social emotion regulationYury Koush, Swann Pichon, Simon B Eickhoff, et al.
Communications Biology|August 19, 2022
Analysis of individual differences in neurofeedback training illuminates successful self-regulation of the dopaminergic midbrainLydia Hellrung, Matthias Kirschner, James Sulzer, et al.
Pageof 8