Kai J. Miller

Cognitive Neuroscience · 2007–2022

A researcher in the Science corpus: 19 papers; trusts 19 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 483 citations into it; #7,302 of 10,852 by trust here, #301 by citations
• Cellular and Molecular Neuroscience — 97 citations into it; #2,543 of 2,998 by trust here, #1,066 by citations
• Electrical and Electronic Engineering — 20 citations into it; #15,282 of 16,539 by trust here, #10,154 by citations
• Artificial Intelligence — 16 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Kai J. Miller trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Gerwin Schalk
2. Gordon M. G. Shepherd
3. Jonathan R. Wolpaw
4. Dennis J. McFarland
5. Eric C. Leuthardt
6. Pascal Fries
7. Jeremy R. Manning
8. Graham W. Taylor
9. John M. Beggs
10. Niels Birbaumer

Who trusts Kai J. Miller overall

1. Han Yuan
2. Biyu J. He
3. Michael Breakspear
4. Gerwin Schalk
5. Nicole M. Long
6. C. Wilkinson
7. Marie Engelene J. Obien
8. Juhan Aru
9. Q. Yin
10. Suresh D. Muthukumaraswamy

Papers from Kai J. Miller's perspective

Ordered by how strongly the researchers Kai J. Miller trusts endorse each paper. Same corpus, a different order for every researcher.

1. BCI2000: a general-purpose brain-computer interface (BCI) system (IEEE Transactions on Biomedical Engineering)
2. 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)
3. A brain–computer interface using electrocorticographic signals in humans (Journal of Neural Engineering)
4. Optimal spatial filtering of single trial EEG during imagined hand movement. (IEEE transactions on rehabilitation engineering)
5. Direct Cortical Control of 3D Neuroprosthetic Devices (Science)
6. BCI competition 2003-data set IIb: support vector machines for the P300 speller paradigm (IEEE Transactions on Biomedical Engineering)
7. Cognitive Control Signals for Neural Prosthetics (Science)
8. Brain-computer communication: unlocking the locked in. (Psychological bulletin)
9. Visualization of significant ERD/ERS patterns in multichannel EEG and ECoG data. (Clinical Neurophysiology)
10. Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention (Science)

Their papers

• Two-dimensional movement control using electrocorticographic signals in humans (2008) — 524 citations
• Advances in human intracranial electroencephalography research, guidelines and good practices (2022) — 171 citations
• An observation of anatomical clustering in inputs to primary motor cortex in cortico-cortical brain surface evoked potentials (2019)
• iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology (2019)
• A library of human electrocorticographic data and analyses (2019)
• A Brain Area for Visual Numerals (2013)
• Broadband changes in the cortical surface potential track activation of functionally diverse neuronal populations (2013)
• Neurophysiologic correlates of fMRI in human motor cortex (2012)
• Review of the BCI Competition IV (2012) — 1,302 citations
• Human Motor Cortical Activity Is Selectively Phase-Entrained on Underlying Rhythms (2012)
• Prior Knowledge Improves Decoding of Finger Flexion from Electrocorticographic Signals (2011) — 30 citations
• Automated electrocorticographic electrode localization on individually rendered brain surfaces. (2010)
• Broadband Spectral Change: Evidence for a Macroscale Correlate of Population Firing Rate? (2010)
• Power-Law Scaling in the Brain Surface Electric Potential (2009) — 755 citations
• Testing for nested oscillation (2008)
• Decoding two-dimensional movement trajectories using electrocorticographic signals in humans (2007) — 569 citations
• Spectral Changes in Cortical Surface Potentials during Motor Movement (2007) — 772 citations
• Real-time functional brain mapping using electrocorticography (2007)
• Cortical electrode localization from X-rays and simple mapping for electrocorticographic research: The "Location on Cortex" (LOC) package for MATLAB. (2007)