Eric Larson
Cognitive Neuroscience · 2013
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 40 citations into it
- Signal Processing — 17 citations into it
- Artificial Intelligence — 8 citations into it
Whom Eric Larson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Arnaud Delorme
- Robert Oostenveld
- Aapo Hyvärinen
- Bruce Fischl
- Eric Maris
- Roberto D. Pascual-Marqui
- Pascal Fries
- Jan-Mathijs Schoffelen
- György Buzsáki
- Clive W. J. Granger
Papers from Eric Larson's perspective
Ordered by how strongly the researchers Eric Larson trusts endorse each paper. Same corpus, a different order for every researcher.
- EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. (Journal of Neuroscience Methods)
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Interpreting magnetic fields of the brain: minimum norm estimates (Medical and Biological Engineering and Computing)
- Identifying true brain interaction from EEG data using the imaginary part of coherency. (Clinical Neurophysiology)
- Nonparametric statistical testing of EEG- and MEG-data. (Journal of Neuroscience Methods)
- Removing electroencephalographic artifacts by blind source separation. (Psychophysiology)
- Independent component analysis: algorithms and applications
- Neuronal gamma-band synchronization as a fundamental process in cortical computation. (Annual Review of Neuroscience)
- An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
- Scikit-learn: Machine Learning in Python
Their papers
- MNE software for processing MEG and EEG data (2013) — 1,925 citations
- MEG and EEG data analysis with MNE-Python (2013) — 3,690 citations