Scharnowski, Frank

Closed-loop brain training: the science of neurofeedback

Sitaram, R., Ros, T., Stoeckel, L., Haller, S., Scharnowski, F., Lewis-Peacock, J., Weiskopf, N., Blefari, M. L., Rana, M., Oblak, E., et al. (2017) · Nature Reviews Neuroscience

EEG and Brain-Computer InterfacesNeural and Behavioral Psychology Studies

Cited by 1,306

Real-time fMRI neurofeedback: Progress and challenges

Sulzer, J., Haller, S., Scharnowski, F., Weiskopf, N., Birbaumer, N., Blefari, M. L., Bruehl, A. B., Cohen, L. G., deCharms, R. C., Gassert, R., et al. (2013) · NeuroImage

EEG and Brain-Computer InterfacesFunctional Brain Connectivity Studies

Cited by 453

Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)

Ros, T., Enriquez-Geppert, S., Zotev, V., Young, K. D., Wood, G., Whitfield-Gabrieli, S., Wan, F., Vuilleumier, P., Vialatte, F., Van De Ville, D., et al. (2020) · Brain

EEG and Brain-Computer InterfacesMeta-analysis and systematic reviews

Cited by 399

Long-lasting modulation of feature integrationby transcranial magnetic stimulation

Scharnowski, F., Ruter, J., Jolij, J., Hermens, F., Kammer, T., & Herzog, M. H. (2009) · Journal of Vision

Visual perception and processing mechanismsTranscranial Magnetic Stimulation Studies

Cited by 305

Bloch’s law and the dynamics of feature fusion

Scharnowski, F., Hermens, F., & Herzog, M. H. (2007) · Vision Research

Visual perception and processing mechanismsMultisensory perception and integration

Cited by 43