Frank Scharnowski

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	Tutte	Dal 2016
Citazioni	3941	2159
Indice H	24	19
i10-index	35	30

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Nikolaus WeiskopfDirector, Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain SciencesEmail verificata su cbs.mpg.de
Rainer GoebelProfessor of Cognitive Neuroscience, Maastricht UniversityEmail verificata su maastrichtuniversity.nl
Dimitri Van De VilleAssociate Professor of Bioengineering, EPF Lausanne and University of GenevaEmail verificata su epfl.ch
Yury Koush, PhDMRRC, Yale UniversityEmail verificata su yale.edu
James SulzerUniversity of Texas at AustinEmail verificata su austin.utexas.edu
Sven HallerAffidea CDRCEmail verificata su unige.ch
Ranganatha SitaramDirector of Laboratory for Brain-Machine Interfaces and Neuromodulation and Associate ProfessorEmail verificata su uc.cl
Patrik VuilleumierUniversity of GenevaEmail verificata su unige.ch
Thomas KammerAssociate Professor, Department of Psychiatry, University of Ulm, GermanyEmail verificata su uni-ulm.de
Maria Laura BlefariEcole Polytechnique Fédérale de Lausanne (EPFL)Email verificata su epfl.ch
Frouke HermensSWOV Institute for road safety researchEmail verificata su uvt.nl
Geraint ReesInstitute of Cognitive Neuroscience, University College LondonEmail verificata su ucl.ac.uk
Karl GegenfurtnerProfessor of Psychology, Giessen University, GermanyEmail verificata su psychol.uni-giessen.de
Sebastian W RiegerImaging & Physics Support, Wellcome Centre for Integrative Neuroimaging, University of OxfordEmail verificata su psych.ox.ac.uk
Luke E. StoeckelDirector, Mechanistic and Translational Decision Science Program, NIA/NIHEmail verificata su nih.gov
Ronald SladkySocial, Cognitive & Affective Neuroscience Unit, Faculty of Psychology, University of ViennaEmail verificata su univie.ac.at
BrühlUniversität Basel & Universitäre Psychiatrische Kliniken BaselEmail verificata su upk.ch
Johannes RüterSwiss Institute of Technology, Lausanne (EPFL)Email verificata su epfl.ch
Maria J. RosaMax Planck - UCL / Computer Science UCLEmail verificata su alumni.ucl.ac.uk
Swann PichonUniversity of Geneva, Swiss center for affective sciencesEmail verificata su unige.ch

Frank Scharnowski

University of Vienna

Email verificata su univie.ac.at - Home page


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Color vision KR Gegenfurtner, DC Kiper Annual review of neuroscience 26 (1), 181-206, 2003	656*	2003
Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI) N Weiskopf, K Mathiak, SW Bock, F Scharnowski, R Veit, W Grodd, ... IEEE transactions on biomedical engineering 51 (6), 966-970, 2004	516	2004
Closed-loop brain training: the science of neurofeedback R Sitaram, T Ros, L Stoeckel, S Haller, F Scharnowski, J Lewis-Peacock, ... Nature Reviews Neuroscience 18 (2), 86-100, 2017	450	2017
Real-time fMRI neurofeedback: progress and challenges J Sulzer, S Haller, F Scharnowski, N Weiskopf, N Birbaumer, ML Blefari, ... Neuroimage 76, 386-399, 2013	389	2013
Self-regulation of local brain activity using real-time functional magnetic resonance imaging (fMRI) N Weiskopf, F Scharnowski, R Veit, R Goebel, N Birbaumer, K Mathiak Journal of Physiology-Paris 98 (4-6), 357-373, 2004	351	2004
Real-time functional magnetic resonance imaging: methods and applications N Weiskopf, R Sitaram, O Josephs, R Veit, F Scharnowski, R Goebel, ... Magnetic resonance imaging 25 (6), 989-1003, 2007	274	2007
Connectivity-based neurofeedback: dynamic causal modeling for real-time fMRI Y Koush, MJ Rosa, F Robineau, K Heinen, SW Rieger, N Weiskopf, ... Neuroimage 81, 422-430, 2013	128	2013
Improving visual perception through neurofeedback F Scharnowski, C Hutton, O Josephs, N Weiskopf, G Rees Journal of Neuroscience 32 (49), 17830-17841, 2012	119	2012
Learning control over emotion networks through connectivity-based neurofeedback Y Koush, DE Meskaldji, S Pichon, G Rey, SW Rieger, DEJ Linden, ... Cerebral cortex 27 (2), 1193-1202, 2017	101	2017
Time slices: what is the duration of a percept? MH Herzog, T Kammer, F Scharnowski PLoS biology 14 (4), e1002433, 2016	95	2016
Dynamic reconfiguration of human brain functional networks through neurofeedback S Haller, R Kopel, P Jhooti, T Haas, F Scharnowski, KO Lovblad, ... Neuroimage 81, 243-252, 2013	89	2013
Manipulating motor performance and memory through real-time fMRI neurofeedback F Scharnowski, R Veit, R Zopf, P Studer, S Bock, J Diedrichsen, R Goebel, ... Biological psychology 108, 85-97, 2015	64	2015
Illusion effects on grasping are temporally constant not dynamic. VH Franz, F Scharnowski, KR Gegenfurtner Journal of Experimental Psychology: Human Perception and Performance 31 (6 …, 2005	64	2005
Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist) T Ros, S Enriquez-Geppert, V Zotev, KD Young, G Wood, ... Brain 143 (6), 1674-1685, 2020	52	2020
Long-lasting modulation of feature integration by transcranial magnetic stimulation F Scharnowski, J Rüter, J Jolij, F Hermens, T Kammer, MH Herzog Journal of Vision 9 (6), 1-1, 2009	45	2009
Self-regulation of inter-hemispheric visual cortex balance through real-time fMRI neurofeedback training F Robineau, SW Rieger, C Mermoud, S Pichon, Y Koush, D Van De Ville, ... NeuroImage 100, 1-14, 2014	43	2014
Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies B Sorger, F Scharnowski, DEJ Linden, M Hampson, KD Young Neuroimage 186, 256-265, 2019	38	2019
Cognitive enhancement through real-time fMRI neurofeedback F Scharnowski, N Weiskopf Current Opinion in Behavioral Sciences 4, 122-127, 2015	38	2015
OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis Y Koush, J Ashburner, E Prilepin, R Sladky, P Zeidman, S Bibikov, ... NeuroImage 156, 489-503, 2017	37	2017
Bloch’s law and the dynamics of feature fusion F Scharnowski, F Hermens, MH Herzog Vision research 47 (18), 2444-2452, 2007	35	2007

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