Denis-Alexander Engemann

Cognitive Neuroscience · 2013–2016

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Denis-Alexander Engemann trusts overall

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

  1. Matti S. Hämäläinen
  2. Alexandre Gramfort
  3. D. Leung
  4. Arnaud Delorme
  5. Fabian Pedregosa
  6. François Tadel
  7. Robert Oostenveld
  8. A. M. Dale
  9. Leo Breiman
  10. Eric R. Ziegel

Who trusts Denis-Alexander Engemann overall

  1. Chi-Yuan Chang
  2. Gaël Varoquaux
  3. T. Adamovich
  4. Tim C Kietzmann
  5. Alicia J. Campbell
  6. Sheng-Hsiou Hsu

Papers from Denis-Alexander Engemann's perspective

Ordered by how strongly the researchers Denis-Alexander Engemann trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  2. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. (Journal of Neuroscience Methods)
  3. ImageNet classification with deep convolutional neural networks
  4. Scikit-learn: Machine Learning in Python
  5. Interpreting magnetic fields of the brain: minimum norm estimates (Medical and Biological Engineering and Computing)
  6. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  7. Identifying true brain interaction from EEG data using the imaginary part of coherency. (Clinical Neurophysiology)
  8. Independent component analysis: algorithms and applications
  9. Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python (Front. Neuroinform.)
  10. Machine learning classifiers and fMRI: a tutorial overview

Their papers