Arnaud Delorme

59 papers C 3Journal 35Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ENIGMA: EEG-to-Image in 15 Minutes Using Less Than 1% of the Parameters. CoRR Reese Kneeland, Wangshu Jiang, Ugo Bruzadin Nunes, Paul S. Scotti, Arnaud Delorme, Jonathan Xu
2025	—	`conf`	Adaptive Split-MMD Training for Small-Sample Cross-Dataset P300 EEG Classification. BIBM Weiyu Chen, Arnaud Delorme
2025	J	`jnl`	Adaptive Split-MMD Training for Small-Sample Cross-Dataset P300 EEG Classification. CoRR Weiyu Chen, Arnaud Delorme
2025	J	`jnl`	Data Normalization Strategies for EEG Deep Learning. CoRR Dung Truong, Arnaud Delorme
2025	J	`jnl`	EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding. CoRR Bruno Aristimunha, Dung Truong, Pierre Guetschel, Seyed Yahya Shirazi, Isabelle Guyon, Alexandre R. Franco, Michael P. Milham, Aviv Dotan, Scott Makeig, Alexandre Gramfort, Jean-Remi King, Marie-Constance Corsi, Pedro A. Valdés-Sosa, Amitava Majumdar, Alan Evans, Terrence J. Sejnowski, Oren Shriki, Sylvain Chevallier, Arnaud Delorme
2024	—	`conf`	Automatic EEG Independent Component Classification Using ICLabel in Python. BIBM Arnaud Delorme, Dung Truong, Luca Pion-Tonachini, Scott Makeig
2024	J	`jnl`	Automatic EEG Independent Component Classification Using ICLabel in Python. CoRR Arnaud Delorme, Dung Truong, Luca Pion-Tonachini, Scott Makeig
2024	—	`conf`	EEG-SSL: A Framework for Self-Supervised Learning on EEG. BIBM Dung Truong, Muhammad Abdullah Khalid, Arnaud Delorme
2023	J	`jnl`	A Comparison of Neuroelectrophysiology Databases. CoRR Priyanka Subash, Alex Gray, Misque Boswell, Samantha L. Cohen, Rachael Garner, Sana Salehi, Calvary Fisher, Samuel Hobel, Satrajit S. Ghosh, Yaroslav O. Halchenko, Benjamin K. Dichter, Russell A. Poldrack, Christopher J. Markiewicz, Dora Hermes, Arnaud Delorme, Scott Makeig, Brendan Behan, Alana Sparks, Stephen R. Arnott, Zhengjia Wang, John F. Magnotti, Michael S. Beauchamp, Nader Pouratian, Arthur W. Toga, Dominique Duncan
2023	C	`conf`	An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA. BIBE Gwenevere Frank, Seyed Yahya Shirazi, Jason A. Palmer, Gert Cauwenberghs, Scott Makeig, Arnaud Delorme
2023	—	`conf`	Deep learning applied to EEG data with different montages using spatial attention. BIBM Dung Truong, Muhammad Abdullah Khalid, Arnaud Delorme
2023	J	`jnl`	Deep learning applied to EEG data with different montages using spatial attention. CoRR Dung Truong, Muhammad Abdullah Khalid, Arnaud Delorme
2023	J	`jnl`	Identifying good practices for detecting inter-regional linear functional connectivity from EEG. NeuroImage Franziska Pellegrini, Arnaud Delorme, Vadim V. Nikulin, Stefan Haufe
2022	—	`conf`	A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithm. BIBM Gwenevere Frank, Scott Makeig, Arnaud Delorme
2022	—	`conf`	A streamable large-scale clinical EEG dataset for Deep Learning. EMBC Dung Truong, Manisha Sinha, Kannan Umadevi Venkataraju, Michael P. Milham, Arnaud Delorme
2022	J	`jnl`	A streamable large-scale clinical EEG dataset for Deep Learning. CoRR Dung Truong, Manisha Sinha, Kannan Umadevi Venkataraju, Michael P. Milham, Arnaud Delorme
2022	J	`jnl`	NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data. Database J. Biol. Databases Curation Arnaud Delorme, Dung Truong, Choonhan Youn, Subhashini Sivagnanam, Claire Stirm, Kenneth Yoshimoto, Russell A. Poldrack, Amitava Majumdar, Scott Makeig
2021	—	`conf`	Assessing learned features of Deep Learning applied to EEG. BIBM Dung Truong, Scott Makeig, Arnaud Delorme
2021	J	`jnl`	Assessing learned features of Deep Learning applied to EEG. CoRR Dung Truong, Scott Makeig, Arnaud Delorme
2021	—	`conf`	Automated Data Cleaning for the Muse EEG. BIBM Arnaud Delorme, Jeffery A. Martin
2021	J	`jnl`	Capturing the nature of events and event context using hierarchical event descriptors (HED). NeuroImage Kay Robbins, Dung Truong, Stefan Appelhoff, Arnaud Delorme, Scott Makeig
2021	—	`conf`	Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features. EMBC Dung Truong, Michael P. Milham, Scott Makeig, Arnaud Delorme
2021	J	`jnl`	Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features. CoRR Dung Truong, Michael P. Milham, Scott Makeig, Arnaud Delorme
2021	J	`jnl`	The open EEGLAB portal Interface: High-Performance computing with EEGLAB. NeuroImage Ramón Martínez-Cancino, Arnaud Delorme, Dung Truong, Fiorenzo Artoni, Kenneth Kreutz-Delgado, Subhashini Sivagnanam, Kenneth Yoshimoto, Amitava Majumdar, Scott Makeig
2021	—	`conf`	Tools for Importing and Evaluating BIDS-EEG Formatted Data. NER Arnaud Delorme, Dung Truong, Ramón Martínez-Cancino, Cyril R. Pernet, Subha Sivagnanam, Kenneth Yoshimoto, Russ Poldrack, Amit Majumdar, Scott Makeig
2021	—	`conf`	Validating the wearable MUSE headset for EEG spectral analysis and Frontal Alpha Asymmetry. BIBM Cédric Cannard, Helané Wahbeh, Arnaud Delorme
2020	C	`conf`	Computing Phase Amplitude Coupling in EEGLAB: PACTools. BIBE Ramón Martínez-Cancino, Arnaud Delorme, Kenneth Kreutz-Delgado, Scott Makeig
2020	—	`conf`	Neuroscience Gateway Enabling Large Scale Modeling and Data Processing in Neuroscience Research. PEARC Subhashini Sivagnanam, Kenneth Yoshimoto, Ted Carnevale, Dave Nadeau, Martin Kandes, Trevor Petersen, Dung Truong, Ramón Martínez-Cancino, Arnaud Delorme, Scott Makeig, Amit Majumdar
2020	J	`jnl`	What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals? Entropy Ramón Martínez-Cancino, Arnaud Delorme, Johanna Wagner, Kenneth Kreutz-Delgado, Roberto C. Sotero, Scott Makeig
2019	J	`jnl`	Human or not human? Performance monitoring ERPs during human agent and machine supervision. NeuroImage Bertille Somon, Aurélie Campagne, Arnaud Delorme, Bruno Berberian
2019	J	`jnl`	Measuring transient phase-amplitude coupling using local mutual information. NeuroImage Ramón Martínez-Cancino, Joseph Heng, Arnaud Delorme, Kenneth Kreutz-Delgado, Roberto C. Sotero, Scott Makeig
2019	—	`conf`	The Open EEGLAB portal. NER Arnaud Delorme, Amitava Majumdar, Subhashini Sivagnanam, Ramón Martínez-Cancino, Kenneth Yoshimoto, Scott Makeig
2018	J	`jnl`	Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition. NeuroImage Fiorenzo Artoni, Arnaud Delorme, Scott Makeig
2017	—	`conf`	A Preliminary Study on the Influence of Automation over Mind Wandering Frequency in Sustained Attention. ECCE Jonas Gouraud, Arnaud Delorme, Bruno Berberian
2016	J	`jnl`	The Brainarium: An Interactive Immersive Tool for Brain Education, Art, and Neurotherapy. Comput. Intell. Neurosci. Romain Grandchamp, Arnaud Delorme
2015	—	`conf`	Non-parametric group-level statistics for source-resolved ERP analysis. EMBC Clement Lee, Makoto Miyakoshi, Arnaud Delorme, Gert Cauwenberghs, Scott Makeig
2014	—	`conf`	Moving Average Convergence Divergence filter preprocessing for real-time event-related peak activity onset detection : Application to fNIRS signals. EMBC Gautier Durantin, Sebastien Scannella, Thibault Gateau, Arnaud Delorme, Frédéric Dehais
2014	J	`jnl`	RELICA: A method for estimating the reliability of independent components. NeuroImage Fiorenzo Artoni, Danilo Menicucci, Arnaud Delorme, Scott Makeig, Silvestro Micera
2013	—	`conf`	Automated detection of cross-frequency coupling in the electrocorticogram for clinical inspection. EMBC Makoto Miyakoshi, Arnaud Delorme, Tim R. Mullen, Katsuaki Kojima, Scott Makeig, Eishi Asano
2012	—	`conf`	Stability of ICA decomposition across within-subject EEG datasets. EMBC Romain Grandchamp, Claire Braboszcz, Scott Makeig, Arnaud Delorme
2011	J	`jnl`	EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing. Comput. Intell. Neurosci. Arnaud Delorme, Tim R. Mullen, Christian Kothe, Zeynep Akalin Acar, Nima Bigdely Shamlo, Andrey Vankov, Scott Makeig
2011	J	`jnl`	Lost in thoughts: Neural markers of low alertness during mind wandering. NeuroImage Claire Braboszcz, Arnaud Delorme
2010	—	`ch.`	MATLAB-Based Tools for BCI Research. Brain-Computer Interfaces Arnaud Delorme, Christian Kothe, Andrey Vankov, Nima Bigdely Shamlo, Robert Oostenveld, Thorsten O. Zander, Scott Makeig
2010	J	`jnl`	Occipital gamma activation during Vipassana meditation. Cogn. Process. B. Rael Cahn, Arnaud Delorme, John Polich
2009	—	`conf`	NeuroTRIP: A Framework for Bridging between Open Source Software. Application to Training a Brain Machine Interface. SITIS Romain Grandchamp, Arnaud Delorme
2009	—	`conf`	Open Source Programming for Interpreted Language: Graphic Interface and Macro Bridging Interface in the EEGLAB Software. SITIS Arnaud Delorme, Scott Makeig
2008	J	`jnl`	Tonic and phasic electroencephalographic dynamics during continuous compensatory tracking. NeuroImage Ruey-Song Huang, Tzyy-Ping Jung, Arnaud Delorme, Scott Makeig
2007	J	`jnl`	Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. NeuroImage Arnaud Delorme, Terrence J. Sejnowski, Scott Makeig
2005	J	`jnl`	Frontal midline EEG dynamics during working memory. NeuroImage Julie Onton, Arnaud Delorme, Scott Makeig
2003	J	`jnl`	Early Cortical Orientation Selectivity: How Fast Inhibition Decodes the Order of Spike Latencies. J. Comput. Neurosci. Arnaud Delorme
2002	J	`jnl`	From single-trial EEG to brain area dynamics. Neurocomputing Arnaud Delorme, Scott Makeig, Michèle Fabre-Thorpe, Terrence J. Sejnowski
2001	J	`jnl`	Face identification using one spike per neuron: resistance to image degradations. Neural Networks Arnaud Delorme, Simon J. Thorpe
2001	J	`jnl`	Feed-forward contour integration in primary visual cortex based on asynchronous spike propagation. Neurocomputing Rufin VanRullen, Arnaud Delorme, Simon J. Thorpe
2001	J	`jnl`	Networks of integrate-and-fire neuron using rank order coding A: How to implement spike time dependent Hebbian plasticity. Neurocomputing Laurent Perrinet, Arnaud Delorme, Manuel Samuelides, Simon J. Thorpe
2001	J	`jnl`	Networks of integrate-and-fire neurons using Rank Order Coding B: Spike timing dependent plasticity and emergence of orientation selectivity. Neurocomputing Arnaud Delorme, Laurent Perrinet, Simon J. Thorpe
2001	J	`jnl`	Spike-based strategies for rapid processing. Neural Networks Simon J. Thorpe, Arnaud Delorme, Rufin Van Rullen
2000	C	`conf`	Reverse engineering of the visual system using networks of spiking neurons. ISCAS Simon J. Thorpe, Arnaud Delorme, Rufin Van Rullen, W. Paquier
1999	J	`jnl`	Rapid processing of complex natural scenes: A role for the magnocellular visual pathways? Neurocomputing Arnaud Delorme, Ghislaine Richard, Michèle Fabre-Thorpe
1999	J	`jnl`	SpikeNET: A simulator for modeling large networks of integrate and fire neurons. Neurocomputing Arnaud Delorme, Jacques Gautrais, Rufin Van Rullen, Simon J. Thorpe