Gramfort, Alexandre

Scikit-learn: Machine Learning in Python

Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Müller, A., Nothman, J., Louppe, G., et al. (2012) · arXiv

Computational Physics and Python ApplicationsMachine Learning and Data Classification

Cited by 71,016

Deep learning-based electroencephalography analysis: a systematic review

Roy, Y., Banville, H., Albuquerque, I., Gramfort, A., Falk, T. H., & Faubert, J. (2019) · Journal of Neural Engineering

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 1,532

Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state

Sitt, J. D., King, J.-R., El Karoui, I., Rohaut, B., Faugeras, F., Gramfort, A., Cohen, L., Sigman, M., Dehaene, S., & Naccache, L. (2014) · Brain

Traumatic Brain Injury ResearchEEG and Brain-Computer Interfaces

Cited by 608

Seeing it all: Convolutional network layers map the function of the human visual system

Eickenberg, M., Gramfort, A., Varoquaux, G., & Thirion, B. (2017) · NeuroImage

Visual perception and processing mechanismsFace Recognition and Perception

Cited by 338

Evidence of a predictive coding hierarchy in the human brain listening to speech

Caucheteux, C., Gramfort, A., & King, J.-R. (2023) · Nature Human Behaviour

Neurobiology of Language and BilingualismNeuroscience and Music Perception

Cited by 308

Local and long-range functional connectivity is reduced in concert in autism spectrum disorders

Khan, S., Gramfort, A., Shetty, N. R., Kitzbichler, M. G., Ganesan, S., Moran, J. M., Lee, S. M., Gabrieli, J. D. E., Tager-Flusberg, H. B., Joseph, R. M., et al. (2013) · Proceedings of the National Academy of Sciences

Autism Spectrum Disorder ResearchFunctional Brain Connectivity Studies

Cited by 303

Association between antidepressant use and reduced risk of intubation or death in hospitalized patients with COVID-19: results from an observational study

Hoertel, N., Sánchez-Rico, M., Vernet, R., Beeker, N., Jannot, A.-S., Neuraz, A., Salamanca, E., Paris, N., Daniel, C., Gramfort, A., et al. (2021) · Molecular Psychiatry

COVID-19 Clinical Research StudiesCOVID-19 and Mental Health

Cited by 269

Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations

Gramfort, A., Strohmeier, D., Haueisen, J., Hämäläinen, M. S., & Kowalski, M. (2013) · NeuroImage

EEG and Brain-Computer InterfacesNumerical methods in inverse problems

Cited by 234

Single-trial decoding of auditory novelty responses facilitates the detection of residual consciousness

King, J. R., Faugeras, F., Gramfort, A., Schurger, A., El Karoui, I., Sitt, J. D., Rohaut, B., Wacongne, C., Labyt, E., Bekinschtein, T., et al. (2013) · NeuroImage

EEG and Brain-Computer InterfacesTraumatic Brain Injury Research

Cited by 197

Deep language algorithms predict semantic comprehension from brain activity

Caucheteux, C., Gramfort, A., & King, J.-R. (2022) · Scientific Reports

Neurobiology of Language and BilingualismReading and Literacy Development

Cited by 91

Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects

Caucheteux, C., Gramfort, A., & King, J.-R. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Neurobiology of Language and BilingualismNeuroscience and Music Perception

Cited by 21

Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling

Mellot, A., Collas, A., Rodrigues, P. L. C., Engemann, D., & Gramfort, A. (2023) · Imaging Neuroscience

EEG and Brain-Computer InterfacesDomain Adaptation and Few-Shot Learning

Cited by 16

Evaluating the structure of cognitive tasks with transfer learning

Aristimunha, B., de Camargo, R. Y., Pinaya, W. H. L., Chevallier, S., Gramfort, A., & Rommel, C. (2023) · arXiv

EEG and Brain-Computer InterfacesDomain Adaptation and Few-Shot Learning

Cited by 4