Lauri Parkkonen

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

Whom Lauri Parkkonen trusts

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

  1. Robert Oostenveld (in Cognitive Neuroscience)
  2. Scott Makeig (in Cognitive Neuroscience)
  3. Arnaud Delorme (in Cognitive Neuroscience)
  4. Eric Maris (in Cognitive Neuroscience)
  5. Pascal Fries (in Cognitive Neuroscience)
  6. Jan-Mathijs Schoffelen (in Cognitive Neuroscience)
  7. Clive W. J. Granger (in Signal Processing)
  8. György Buzsáki (in Plant Science)
  9. Erkki Oja (in Signal Processing)
  10. Aapo Hyvärinen (in Signal Processing)

Papers from Lauri Parkkonen's perspective

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

  1. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. (Journal of Neuroscience Methods)
  2. Interpreting magnetic fields of the brain: minimum norm estimates (Medical and Biological Engineering and Computing)
  3. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  4. Identifying true brain interaction from EEG data using the imaginary part of coherency. (Clinical Neurophysiology)
  5. Nonparametric statistical testing of EEG- and MEG-data. (Journal of Neuroscience Methods)
  6. Removing electroencephalographic artifacts by blind source separation. (Psychophysiology)
  7. Neuronal gamma-band synchronization as a fundamental process in cortical computation. (Annual Review of Neuroscience)
  8. Independent component analysis: algorithms and applications
  9. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  10. FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data (Computational Intelligence and Neuroscience)

Their papers