Joseph N. F. Mak
Cognitive Neuroscience · 2009
A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 41 citations into it
- Cellular and Molecular Neuroscience — 25 citations into it
- Electrical and Electronic Engineering — 8 citations into it
- Human-Computer Interaction — 8 citations into it
Whom Joseph N. F. Mak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Niels Birbaumer
- Emanuel Donchin
- Jonathan R. Wolpaw
- Gerwin Schalk
- Eric W. Sellers
- Dennis J. McFarland
- Leonardo G. Cohen
- Jürgen Mellinger
- Adrian Furdea
- Andrea Kübler
Who trusts Joseph N. F. Mak overall
Papers from Joseph N. F. Mak's perspective
Ordered by how strongly the researchers Joseph N. F. Mak trusts endorse each paper. Same corpus, a different order for every researcher.
- Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. (Proceedings of the National Academy of Sciences of the United States of America)
- The mental prosthesis: assessing the speed of a P300-based brain-computer interface. (IEEE transactions on rehabilitation engineering)
- Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
- A P300-based brain-computer interface: initial tests by ALS patients. (Clinical Neurophysiology)
- A brain–computer interface using electrocorticographic signals in humans (Journal of Neural Engineering)
- Brain-computer interface technology: a review of the first international meeting. (IEEE transactions on rehabilitation engineering)
- Brain-computer communication: unlocking the locked in. (Psychological bulletin)
- Brain-computer interfaces based on the steady-state visual-evoked response. (IEEE transactions on rehabilitation engineering)
- Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): methodology and exemplary data (NeuroImage)
- Brain-computer communication: self-regulation of slow cortical potentials for verbal communication. (Archives of Physical Medicine and Rehabilitation)
Their papers
- Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects (2009) — 498 citations