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Gerwin Schalk

Gerwin Schalk

D-Index & Metrics

Neuroscience

D-Index
70
Citations
27863
World Ranking
2460
National Ranking
33

Computer Science

D-Index
65
Citations
25789
World Ranking
2401
National Ranking
325

Overview

Gerwin Schalk is affiliated with Fudan University in China and has contributed extensively to the field of neuroscience, with a primary focus on cognitive neuroscience and its applications. Their research spans multiple subfields including cellular and molecular neuroscience, signal processing, artificial intelligence, and neurology.

The main thematic areas of Schalk's work encompass EEG and brain-computer interfaces, neural dynamics and brain function, neuroscience and neural engineering, neuroscience and music perception, functional brain connectivity studies, music and audio processing, as well as neural networks and applications.

Schalk has published numerous papers in prominent scientific venues. Recent publications include:

  • A neural population selective for song in human auditory cortex, 2022, Current Biology
  • Non-Invasive Brain-Computer Interfaces: State of the Art and Trends, 2024, IEEE Reviews in Biomedical Engineering
  • Music can be reconstructed from human auditory cortex activity using nonlinear decoding models, 2023, PLoS Biology
  • A motor association area in the depths of the central sulcus, 2023, Nature Neuroscience
  • Translation of neurotechnologies, 2024, Nature Reviews Bioengineering

Frequent coauthors that Schalk has collaborated with include:

  • Peter Brunner
  • Kai J. Miller
  • Robert T. Knight
  • Markus Adamek
  • Anaïs Llorens

Schalk's contributions have appeared repeatedly in various publication venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Current Biology
  • Nature Neuroscience
  • NeuroImage

The extensive nature of their work in neuroscience is reflected in a total of 60 publications within the main field. The emphasis on cognitive neuroscience accounts for a significant subset of these, with 50 publications, alongside research in cellular and molecular neuroscience and related technological domains. Their work addresses the interplay between brain-computer interfacing technologies and neural mechanisms underlying auditory and motor functions, contributing to understanding brain function and advancing neurotechnology translation.

Best Publications

  • BCI2000: a general-purpose brain-computer interface (BCI) system

    G. Schalk;D.J. McFarland;T. Hinterberger;N. Birbaumer

  • Brain-computer interface technology: a review of the first international meeting

    J.R. Wolpaw;N. Birbaumer;W.J. Heetderks;D.J. McFarland

  • A brain-computer interface using electrocorticographic signals in humans.

    Eric C Leuthardt;Gerwin Schalk;Jonathan R Wolpaw;Jonathan R Wolpaw;Jeffrey G Ojemann

  • Review of the BCI Competition IV

    Michael Tangermann;Klaus Robert Müller;Ad Aertsen;Niels Birbaumer

  • The BCI competition III: validating alternative approaches to actual BCI problems

    B. Blankertz;K.-R. Muller;D.J. Krusienski;G. Schalk

  • The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials

    B. Blankertz;K.-R. Muller;G. Curio;T.M. Vaughan

  • Spectral changes in cortical surface potentials during motor movement.

    Kai J. Miller;Eric C. Leuthardt;Gerwin Schalk;Rajesh P. N. Rao

  • Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface.

    A. Kübler;F. Nijboer;J. Mellinger;T. M. Vaughan

  • Cortical activity during motor execution, motor imagery, and imagery-based online feedback

    Kai J. Miller;Gerwin Schalk;Eberhard E. Fetz;Marcel den Nijs

  • Decoding two-dimensional movement trajectories using electrocorticographic signals in humans.

    G Schalk;J Kubánek;K J Miller;N R Anderson

  • Two-dimensional movement control using electrocorticographic signals in humans

    G. Schalk;G. Schalk;G. Schalk;K. J. Miller;N. R. Anderson;J. A. Wilson

  • An MEG-based brain-computer interface (BCI)

    Jürgen Mellinger;Gerwin Schalk;Gerwin Schalk;Christoph Braun;Hubert Preissl;Hubert Preissl

  • Brain-Computer Interfaces Using Electrocorticographic Signals

    Gerwin Schalk;Eric C. Leuthardt

  • Towards an independent brain–computer interface using steady state visual evoked potentials

    Brendan Z. Allison;Dennis J. McFarland;Gerwin Schalk;Shi Dong Zheng

  • The wadsworth BCI research and development program: at home with BCI

    T.M. Vaughan;D.J. McFarland;G. Schalk;W.A. Sarnacki

  • Non-invasive brain-computer interface system: towards its application as assistive technology

    Febo Cincotti;Donatella Mattia;Fabio Aloise;Simona Bufalari

  • Does the “P300” Speller Depend on Eye Gaze?

    P Brunner;P Brunner;P Brunner;S Joshi;S Joshi;S Briskin;J R Wolpaw;J R Wolpaw

  • Electrocorticography-based brain computer Interface-the seattle experience

    E.C. Leuthardt;K.J. Miller;G. Schalk;R.P.N. Rao

  • Decoding flexion of individual fingers using electrocorticographic signals in humans.

    J Kubánek;K J Miller;J G Ojemann;J R Wolpaw

  • Advanced neurotechnologies for chronic neural interfaces: new horizons and clinical opportunities.

    Daryl R. Kipke;William Shain;György Buzsáki;E. Fetz

Frequent Co-Authors

Peter Brunner
Peter Brunner Washington University in St. Louis
Eric C. Leuthardt
Eric C. Leuthardt Washington University in St. Louis
Jonathan R. Wolpaw
Jonathan R. Wolpaw National Center for Adaptive Neurotechnologies
Ayşegül Gündüz
Ayşegül Gündüz University of Florida
Jeffrey G. Ojemann
Jeffrey G. Ojemann University of Washington
Kai J. Miller
Kai J. Miller Mayo Clinic
Daniel W. Moran
Daniel W. Moran Washington University in St. Louis
Rajesh P. N. Rao
Rajesh P. N. Rao University of Washington
Robert T. Knight
Robert T. Knight University of California, Berkeley
Niels Birbaumer
Niels Birbaumer University of Tübingen

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