selected publications

• academic article

  • Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals.  NeuroImage.  108:328-342. 2014
  • Spatiotemporal Signatures of Lexical–Semantic Prediction.  Cerebral Cortex.  26:1377-1387. 2014
  • Data-driven HRF estimation for encoding and decoding models.  NeuroImage.  104:209-220. 2014
  • Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state.  Brain.  137:2258-2270. 2014
  • Supramodal processing optimizes visual perceptual learning and plasticity.  NeuroImage.  93:32-46. 2014
  • Machine learning for neuroimaging with scikit-learn.  Frontiers in Neuroinformatics.  8. 2014
  • MNE software for processing MEG and EEG data.  NeuroImage.  86:446-460. 2013
  • Automatic Semantic Facilitation in Anterior Temporal Cortex Revealed through Multimodal Neuroimaging.  Journal of Neuroscience.  33:17174-17181. 2013
  • Single-trial decoding of auditory novelty responses facilitates the detection of residual consciousness.  NeuroImage.  83:726-738. 2013
  • Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations.  NeuroImage.  70:410-422. 2013
  • MEG and EEG data analysis with MNE-Python.  Frontiers in Neuroscience.  7. 2013

• blog posting

  • Mind the duality gap: safer rules for the Lasso.  arXiv (Cornell University). 2015

• chapter

  • Fast Optimal Transport Averaging of Neuroimaging Data.  Lecture notes in computer science. 261-272. 2015
  • Learning from M/EEG Data with Variable Brain Activation Delays.  Lecture notes in computer science. 414-425. 2013

• conference paper

  • FAμST: Speeding up linear transforms for tractable inverse problems.  . 2516-2520. 2015
  • Mind the duality gap: safer rules for the Lasso.  International Conference on Machine Learning. 333-342. 2015
  • Decoding perceptual thresholds from MEG/EEG.  International Workshop on Pattern Recognition in NeuroImaging. 1-4. 2014