Nombre de documents

76

CV de Alexandre Gramfort


Communication dans un congrès48 documents

  • Jair Montoya-Martínez, Jean-François Cardoso, Alexandre Gramfort. Caveats with stochastic gradient and maximum likelihood based ICA for EEG. Latent Variable Analysis, Independent Component Analysis LVA-ICA International Conference, Feb 2017, Grenoble, France. <hal-01451432>
  • Tom Dupré La Tour, Yves Grenier, Alexandre Gramfort. Parametric estimation of spectrum driven by an exogenous signal. 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017) , Mar 2017, La Nouvelle Orléans, LA, United States. Proc. in ICASSP. <http://www.ieee-icassp2017.org/>. <hal-01448603v2>
  • Romain Laby, François Roueff, Alexandre Gramfort. Anomaly Detection and Localisation using Mixed Graphical Models. ICML 2016 Anomaly Detection Workshop, Jun 2016, New York, United States. <hal-01347167>
  • Yousra Bekhti, Daniel Strohmeier, Mainak Jas, Roland Badeau, Alexandre Gramfort. M/EEG source localization with multi-scale time-frequency dictionaries. 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI), Jun 2016, Trento, Italy. 2016, <http://prni2016.wix.com/prni2016>. <10.1109/PRNI.2016.7552337>. <hal-01313567v2>
  • Mainak Jas, Denis Engemann, Federico Raimondo, Yousra Bekhti, Alexandre Gramfort. Automated rejection and repair of bad trials in MEG/EEG. 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI), Jun 2016, Trento, Italy. <hal-01313458>
  • Yousra Bekhti, Daniel Strohmeier, Mainak Jas, Roland Badeau, Alexandre Gramfort. M/EEG source localization with multi-scale time-frequency dictionaries. 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI), Jun 2016, Trento, Italy. 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI), 2016, <http://prni2016.wix.com/prni2016>. <hal-01306605>
  • Denis Engemann, Federico Raimondo, Jean-Remi King, Mainak Jas, Alexandre Gramfort, et al.. Automated Measurement and Prediction of Consciousness in Vegetative and Minimally Conscious Patients. ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015), Jul 2015, Lille, France. 2015. <hal-01225254>
  • Alexandre Gramfort, Gabriel Peyré, Marco Cuturi. Fast Optimal Transport Averaging of Neuroimaging Data. Information Processing in Medical Imaging (IPMI), Jun 2015, Isle of Skye, United Kingdom. Springer, 2015. <hal-01135198>
  • Daniel Strohmeier, Alexandre Gramfort, Jens Haueisen. MEG/EEG source imaging with a non-convex penalty in the time-frequency domain. Pattern Recognition in Neuroimaging, 2015 International Workshop on, Jun 2015, Stanford, United States. Proceedings of the International Workshop on Pattern Recognition in Neuroimaging (PRNI) 2015. <hal-01183552>
  • Denis Engemann, Daniel Strohmeier, Eric Larson, Alexandre Gramfort. Mind the noise covariance when localizing brain sources with M/EEG. Pattern Recognition in Neuroimaging, 2015 International Workshop on, Jun 2015, Stanford, United States. Proceedings of the International Workshop on Pattern Recognition in Neuroimaging (PRNI) 2015. <hal-01183551>
  • Luc Le Magoarou, Rémi Gribonval, Alexandre Gramfort. FA$\mu$ST: speeding up linear transforms for tractable inverse problems. European Signal Processing Conference (EUSIPCO), Aug 2015, Nice, France. <hal-01156478>
  • Albert Thomas, Vincent Feuillard, Alexandre Gramfort. Calibration of One-Class SVM for MV set estimation. IEEE DSAA' 2015, Oct 2015, Paris, France. <hal-01188294>
  • Matthieu Kowalski, Alexandre Gramfort. Inverse Problems with Time-frequency Dictionaries and non-white Gaussian Noise. Eusipco 2015, Aug 2015, Nice, France. <hal-01199635>
  • Matthieu Kowalski, Alexandre Gramfort. Problèmes inverses avec dictionnaires temps-fréquences en présence de bruit Gaussien non blanc. Gretsi 2015, Sep 2015, Lyon, France. <hal-01199641>
  • Daniel Strohmeier, Jens Haueisen, Alexandre Gramfort. Improved MEG/EEG source localization with reweighted mixed-norms. Pattern Recognition in Neuroimaging, 2014 International Workshop on, Jun 2014, Tubingen, Germany. IEEE, pp.1-4, 2014, <10.1109/PRNI.2014.6858545>. <hal-01044748>
  • Elvis Dohmatob, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux. Benchmarking solvers for TV-l1 least-squares and logistic regression in brain imaging. Pattern Recoginition in Neuroimaging (PRNI), Jun 2014, Tübingen, Germany. IEEE, 2014, <IEEE>. <hal-00991743>
  • Yousra Bekhti, Nicolas Zilber, Fabian Pedregosa, Philippe Ciuciu, Virginie Van Wassenhove, et al.. Decoding perceptual thresholds from MEG/EEG. Pattern Recoginition in Neuroimaging (PRNI) (2014), Jun 2014, Tubingen, Germany. p00, 2014. <hal-01032909>
  • Wojciech Zaremba, M. Pawan Kumar, Alexandre Gramfort, Matthew Blaschko. Learning from M/EEG data with variable brain activation delays. International Conference on Information Processing in Medical Imaging, Jun 2013, Asilomar, United States. 2013. <hal-00803981v2>
  • Cécilia Damon, Antoine Liutkus, Alexandre Gramfort, Slim Essid. Non-negative matrix factorization for single-channel EEG artifact rejection. ICASSP, 2013, Vancouver, Canada. 2013, <10.1109/ICASSP.2013.6637836>. <hal-00958775>
  • Cécilia Damon, Antoine Liutkus, Alexandre Gramfort, Slim Essid. Non-negative Tensor Factorization for Single-Channel EEG Artifact Rejection. MLSP, Sep 2013, Southampton, United Kingdom. 2013, <http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6661983>. <10.1109/MLSP.2013.6661983>. <hal-00959103>
  • Michael Eickenberg, Fabian Pedregosa, Senoussi Mehdi, Alexandre Gramfort, Bertrand Thirion. Second order scattering descriptors predict fMRI activity due to visual textures. PRNI 2013 - 3nd International Workshop on Pattern Recognition in NeuroImaging, Jun 2013, Philadelphia, United States. Conference Publishing Services, 2013. <hal-00834928>
  • Lars Buitinck, Gilles Louppe, Mathieu Blondel, Fabian Pedregosa, Andreas Mueller, et al.. API design for machine learning software: experiences from the scikit-learn project. European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases, Sep 2013, Prague, Czech Republic. 2013. <hal-00856511>
  • Fabian Pedregosa, Michael Eickenberg, Bertrand Thirion, Alexandre Gramfort. HRF estimation improves sensitivity of fMRI encoding and decoding models. 3nd International Workshop on Pattern Recognition in NeuroImaging, Jun 2013, Philadelphia, United States. 2013. <hal-00821946>
  • Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux. Identifying predictive regions from fMRI with TV-L1 prior. Pattern Recognition in Neuroimaging (PRNI), Jun 2013, Philadelphia, United States. IEEE, 2013. <hal-00839984>
  • Michael Eickenberg, Alexandre Gramfort, Bertrand Thirion. Multilayer Scattering Image Analysis Fits fMRI Activity in Visual Areas. International Workshop on Pattern Recognition in NeuroImaging, Jul 2012, London, United Kingdom. 2012. <hal-00704528>
  • Fabian Pedregosa, Elodie Cauvet, Gaël Varoquaux, Christophe Pallier, Bertrand Thirion, et al.. Improved brain pattern recovery through ranking approaches. PRNI 2012 : 2nd International Workshop on Pattern Recognition in NeuroImaging, Jul 2012, London, United Kingdom. 2012. <hal-00717954>
  • Fabian Pedregosa, Elodie Cauvet, Gaël Varoquaux, Christophe Pallier, Bertrand Thirion, et al.. Learning to rank from medical imaging data. Third International Workshop on Machine Learning in Medical Imaging - MLMI 2012, Oct 2012, Nice, France. 2012. <hal-00717990v2>
  • Gaël Varoquaux, Alexandre Gramfort, Bertrand Thirion. Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering. John, Langford and Joelle, Pineau. International Conference on Machine Learning, Jun 2012, Edimbourg, United Kingdom. 2012. <hal-00705192>
  • Alexandre Gramfort, Poupon Cyril, Maxime Descoteaux. Sparse DSI: Learning DSI structure for denoising and fast imaging. MICCAI, Oct 2012, Nice, France. Springer, 2012. <hal-00723897>
  • Alexandre Gramfort, Christophe Pallier, Gaël Varoquaux, Bertrand Thirion. Decoding Visual Percepts Induced by Word Reading with fMRI. Pattern Recognition in NeuroImaging (PRNI), 2012 International Workshop on, Jul 2012, Londres, United Kingdom. pp.13-16, 2012, <http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6295916&tag=1>. <10.1109/PRNI.2012.20>. <hal-00730768>
  • Gaël Varoquaux, Alexandre Gramfort, Fabian Pedregosa, Vincent Michel, Bertrand Thirion. Multi-subject dictionary learning to segment an atlas of brain spontaneous activity. Information Processing in Medical Imaging, Jul 2011, Kaufbeuren, Germany. Springer, 6801, pp.562-573, 2011, Lecture Notes in Computer Science; Information Processing in Medical Imaging. <10.1007/978-3-642-22092-0_46>. <inria-00588898v2>
  • Rodolphe Jenatton, Alexandre Gramfort, Vincent Michel, Guillaume Obozinski, Francis Bach, et al.. Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity. PRNI 2011 - IEEE International Workshop on Pattern Recognition in NeuroImaging, May 2011, Seoul, South Korea. IEEE, 2011, <http://www.computer.org/portal/web/csdl/doi/10.1109/PRNI.2011.15>. <10.1109/PRNI.2011.15>. <hal-00643901>
  • Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Beyond brain reading: randomized sparsity and clustering to simultaneously predict and identify. Springer. NIPS 2011 MLINI Workshop, Dec 2011, Granada, Spain. pp.9-16, 2011, Machine Learning and Interpretation in Neuroimaging. <10.1007/978-3-642-34713-9_2>. <hal-00704875>
  • Vincent Michel, Alexandre Gramfort, Evelyn Eger, Gaël Varoquaux, Bertrand Thirion. A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding. Georg Langs, Irina Rish, Moritz Grosse-Wentrup, Brain Murphy. MLINI - Machine Learning and Interpretation in Neuroimaging - 2011, Dec 2011, Sierra Nevada, Spain. Springer, pp.1-8, 2012, Lecture Notes in Computer Science. <10.1007/978-3-642-34713-9_1>. <hal-00753142>
  • Maureen Clerc, Jean-Michel Badier, Emmanuel Olivi, Alexandre Gramfort, Théodore Papadopoulo. OpenMEEG for calibrating the conductivity of nested compartment models. EIT conference, 2011, Bath, United Kingdom. 2011. <hal-00789731>
  • Matthieu Kowalski, Pierre Weiss, Alexandre Gramfort, Sandrine Anthoine. Accelerating ISTA with an active set strategy. OPT 2011: 4th International Workshop on Optimization for Machine Learning, Dec 2011, Sierra Nevada, Spain. pp.7, 2011. <hal-00696992v2>
  • Daniel Strohmeier, Alexandre Gramfort, Jens Haueisen, Matti Hämäläinen, Matthieu Kowalski. M/EEG source reconstruction based on Gabor thresholding in the source space. NFSI 2011, May 2011, Banff, Canada. 2011. <hal-00621044>
  • Alexandre Gramfort, Daniel Strohmeier, Jens Haueisen, Matti Hamalainen, Matthieu Kowalski. Functional brain imaging with M/EEG using structured sparsity in time-frequency dictionaries. International Conference on Information Processing in Medical Imaging (IPMI '11), Jul 2011, Irsee, Germany. Springer, 6801, pp.600-611, 2011, Information Processing in Medical Imaging. <http://www.springerlink.com/content/mp7701m142193w83/>. <10.1007/978-3-642-22092-0_49>. <inria-00605502>
  • Alexandre Gramfort, Daniel Strohmeier, Jens Haueisen, Matti Hämäläinen, Matthieu Kowalski. Apport des dictionnaires temps-fréquence, de la parcimonie et des structures pour l'imagerie cérébrale fonctionnelle M/EEG. GRETSI 2011, Sep 2011, Bordeaux, France. pp.ID45, 2011. <hal-00621040>
  • Maureen Clerc, Alexandre Gramfort, Emmanuel Olivi, Théodore Papadopoulo. The symmetric BEM: bringing in more variables for better accuracy. Supek, Selma and Susac, Ana. Biomag 2010, May 2010, Dubrovnik, Croatia. Springer, 28, pp.109-112, 2010, Advances in Biomagnetism; IFMBE Proceedings. <http://www.springerlink.com/content/tq30518q02762u52/fulltext.pdf>. <10.1007/978-3-642-12197-5_21>. <inria-00497081>
  • Vincent Michel, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Total Variation regularization enhances regression-based brain activity prediction. 1st ICPR Workshop on Brain Decoding - Pattern recognition challenges in neuroimaging - 20th International Conference on Pattern Recognition, Aug 2010, Istanbul, Turkey. IEEE Computer Society, 0, pp.9-12, 2010, <10.1109/WBD.2010.13>. <hal-00504095>
  • Alexandre Gramfort. Multi-condition M/EEG inverse modeling with sparsity assumptions: how to estimate what is common and what is specific in multiple experimental conditions. Biomag: International Conference on Biomagnetism, Mar 2010, Dubrovnik, Croatia. 2010. <inria-00468592>
  • Gaël Varoquaux, Alexandre Gramfort, Jean Baptiste Poline, Bertrand Thirion. Brain covariance selection: better individual functional connectivity models using population prior. Richard Zemel and John Shawe-Taylor. Advances in Neural Information Processing Systems, Dec 2010, Vancouver, Canada. 2010, Advances in Neural Information Processing Systems. <inria-00512451v4>
  • Alexandre Gramfort, Matthieu Kowalski. Improving M/EEG source localization with an inter-condition sparse prior. IEEE International Symposium on Biomedical Imaging (ISBI), Jun 2009, Boston, France. pp.141, 2009. <hal-00424029>
  • Matthieu Kowalski, Alexandre Gramfort. A priori par normes mixtes pour les problèmes inverses Application à la localisation de sources en M/EEG. GRETSI 2009, Sep 2009, Dijon, France. pp.564, 2009. <hal-00424039>
  • Benoit Cottereau, Alexandre Gramfort, Jean Lorenceau, Bertrand Thirion, Maureen Clerc, et al.. Fast retinotopic mapping of visual fields using MEG. 14th Human Brain Mapping International Conference, Jun 2008, Melbourne, Australia. 2008. <inria-00423373>
  • Alexandre Gramfort, Théodore Papadopoulo, Benoit Cottereau, Sylvain Baillet, Maureen Clerc. Tracking cortical activity with spatio-temporal constraints using graph-cuts and M/EEG. Biomag, Aug 2008, Sapporo, Japan. 2008. <inria-00336887>
  • Alexandre Gramfort, Maureen Clerc. Low dimensional representations of MEG/EEG data using Laplacian Eigenmaps. Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, 2007. NFSI-ICFBI 2007. Joint Meeting of the 6th International Symposium on, Oct 2007, Hangzhou, China. pp.169 - 172, 2007, <10.1109/NFSI-ICFBI.2007.4387717>. <inria-00502735>

Article dans une revue19 documents

  • Michael Eickenberg, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Seeing it all: Convolutional network layers map the function of the human visual system. NeuroImage, Elsevier, 2016, <10.1016/j.neuroimage.2016.10.001>. <hal-01389809>
  • Fabian Pedregosa, Michael Eickenberg, Philippe Ciuciu, Bertrand Thirion, Alexandre Gramfort. Data-driven HRF estimation for encoding and decoding models. NeuroImage, Elsevier, 2015, pp.209--220. <hal-00952554v4>
  • Jean-Rémi King, Alexandre Gramfort, Aaron Schurger, Lionel Naccache, Stanislas Dehaene. Two Distinct Dynamic Modes Subtend the Detection of Unexpected Sounds. PLoS ONE, Public Library of Science, 2014, 9 (1), pp.e85791. <10.1371/journal.pone.0085791>. <hal-01365820>
  • Alexandre Gramfort, Cyril Poupon, Maxime Descoteaux. Denoising and fast diffusion imaging with physically constrained sparse dictionary learning. Medical Image Analysis, Elsevier, 2013, 18 (1), pp.36-49. <http://www.sciencedirect.com/science/article/pii/S1361841513001205>. <10.1016/j.media.2013.08.006>. <hal-00867372>
  • Alexandre Gramfort, Daniel Strohmeier, Jens Haueisen, Matti Hämäläinen, Matthieu Kowalski. Time-Frequency Mixed-Norm Estimates: Sparse M/EEG imaging with non-stationary source activations. NeuroImage, Elsevier, 2013, 70, pp.410-422. <http://www.ncbi.nlm.nih.gov/pubmed/23291276>. <10.1016/j.neuroimage.2012.12.051>. <hal-00773276>
  • Gaël Varoquaux, Alexandre Gramfort, Jean Baptiste Poline, Bertrand Thirion. Markov models for fMRI correlation structure: is brain functional connectivity small world, or decomposable into networks?. Journal of Physiology - Paris, Elsevier, 2012, 106, pp.212-221. <10.1016/j.jphysparis.2012.01.001>. <hal-00665340v2>
  • Rodolphe Jenatton, Alexandre Gramfort, Vincent Michel, Guillaume Obozinski, Evelyn Eger, et al.. Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2012, 5 (3), pp.835-856. <10.1137/110832380>. <inria-00589785v2>
  • Alexandre Gramfort, Matthieu Kowalski, Matti Hämäläinen. Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods. Physics in Medicine and Biology, IOP Publishing, 2012, 57 (7), pp.1937-1961. <10.1088/0031-9155/57/7/1937>. <hal-00690774v2>
  • Alexandre Gramfort, Théodore Papadopoulo, Emmanuel Olivi, Maureen Clerc. Forward Field Computation with OpenMEEG.. Computational Intelligence and Neuroscience, Hindawi Publishing Corporation, 2011, 2011, pp.923703. <10.1155/2011/923703>. <inria-00584205>
  • Vincent Michel, Alexandre Gramfort, Gaël Varoquaux, Evelyn Eger, Bertrand Thirion. Total variation regularization for fMRI-based prediction of behaviour.. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2011, 30 (7), pp.1328 - 1340. <10.1109/TMI.2011.2113378>. <inria-00563468>
  • Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, et al.. Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, Journal of Machine Learning Research, 2011. <hal-00650905v2>
  • Vincent Michel, Alexandre Gramfort, Gaël Varoquaux, Evelyn Eger, Christine Keribin, et al.. A supervised clustering approach for fMRI-based inference of brain states. Pattern Recognition, Elsevier, 2011, epub ahead of print. <10.1016/j.patcog.2011.04.006>. <inria-00589201>
  • Alexandre Gramfort, Renaud Keriven, Maureen Clerc. Graph-Based Variability Estimation in Single-Trial Event-Related Neural Responses.. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2010, epub ahead of print. <10.1109/TBME.2009.2037139>. <inria-00502697>
  • Alexandre Gramfort, Renaud Keriven, Maureen Clerc. Graph-Based Variability Estimation in Single-Trial Event-Related Neural Responses. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2010, 57 (5), pp.1051 - 1061. <10.1109/TBME.2009.2037139>. <inria-00497023>
  • Alexandre Gramfort, Théodore Papadopoulo, Sylvain Baillet, Maureen Clerc. Tracking cortical activity from M/EEG using graph-cuts with spatiotemporal constraints.. NeuroImage, Elsevier, 2010, epub ahead of print. <10.1016/j.neuroimage.2010.09.087>. <inria-00526020>
  • Benoit Cottereau, Jean Lorenceau, Alexandre Gramfort, Maureen Clerc, Bertrand Thirion, et al.. Phase delays within visual cortex shape the response to steady-state visual stimulation.. NeuroImage, Elsevier, 2010, 54 (3), pp.1919-1929. <10.1016/j.neuroimage.2010.10.004>. <inria-00526019>
  • Alexandre Gramfort, Théodore Papadopoulo, Emmanuel Olivi, Maureen Clerc. OpenMEEG: opensource software for quasistatic bioelectromagnetics. BioMedical Engineering OnLine, BioMed Central, 2010, 9 (1), pp.45. <http://www.biomedical-engineering-online.com/content/9/1/45>. <10.1186/1475-925X-9-45>. <inria-00467061v2>
  • Matthieu Kowalski, Alexandre Gramfort. A priori par normes mixtes pour les problèmes inverses: Application à la localisation de sources en M/EEG. Traitement du Signal, Lavoisier, 2010, 27 (1), pp.51-76. <10.3166/Traitement du Signal.vol(27)51-76>. <hal-00473970v3>
  • Alexandre Gramfort, Benoit Cottereau, Maureen Clerc, Bertrand Thirion, Sylvain Baillet. Challenging the estimation of cortical activity from MEG with simulated fMRI-constrained retinotopic maps.. Conference proceedings : .. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Institute of Electrical and Electronics Engineers (IEEE), 2007, 2007, pp.4945-8. <10.1109/IEMBS.2007.4353450>. <inria-00502698>

Document associé à des manifestations scientifiques1 document

  • Emmanuel Olivi, Alexandre Gramfort, Théodore Papadopoulo, Maureen Clerc. The adjoint method of OpenMEEG for EEG and MEG with large source space. Proceedings of Biomag, 2012, Paris, France. 2012. <hal-00789736>

Pré-publication, Document de travail2 documents

  • Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Vincent Leclère, Joseph Salmon. Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression. 2016. <hal-01404966>
  • Fabian Pedregosa, Francis Bach, Alexandre Gramfort. On the Consistency of Ordinal Regression Methods. 2015. <hal-01054942v3>

Poster5 documents

  • Sebastian Hitziger, Maureen Clerc, Alexandre Gramfort, Sandrine Saillet, Christian G. Bénar, et al.. Electro-Metabolic Coupling Investigated with Jitter Invariant Dictionary Learning. OHBM 2014, Jun 2014, Hamburg, Germany. <http://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=3565>. <hal-01094674>
  • Sebastian Hitziger, Maureen Clerc, Alexandre Gramfort, Sandrine Saillet, Christian Bénar, et al.. Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals. International Conference on Learning Representations 2013, May 2013, Phoenix, Arizona, United States. 2013. <hal-01094663>
  • Emmanuel Olivi, Alexandre Gramfort, Théodore Papadopoulo, Maureen Clerc. Adjoint method for lead-fields computation in MEEG.. HBM'2011, Jun 2011, Québec City, Canada. <inria-00603769>
  • Alexandre Gramfort, Théodore Papadopoulo, Emmanuel Olivi, Maureen Clerc. OpenMEEG for M/EEG forward modeling: a comparison study. Human Brain Mapping, Jun 2010, Barcelone, Spain. <inria-00502745>
  • Alexandre Gramfort, Théodore Papadopoulo, Emmanuel Olivi, Maureen Clerc. An empirical evaluation of free BEM solvers for M/EEG forward modeling. Biomag, May 2010, Dubrovnik, Croatia. 2010. <hal-00776674>

Thèse1 document

  • Alexandre Gramfort. Mapping, timing and tracking cortical activations with MEG and EEG: Methods and application to human vision. Modeling and Simulation. Ecole nationale supérieure des telecommunications - ENST, 2009. English. <tel-00426852>