Arnaud Delorme

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 28

Top Topics

Spectral Features

Independent Components

Top Venues

Publications

Gwenevere Frank, Seyed Yahya Shirazi, Jason A. Palmer, Gert Cauwenberghs, Scott Makeig, Arnaud Delorme
An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA. BIBE (2023)
Priyanka Subash, Alex Gray, Misque Boswell, Samantha L. Cohen, Rachael Garner, Sana Salehi, Calvary Fisher, Samuel Hobel, Satrajit S. Ghosh, Yaroslav O. Halchenko, Benjamin 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
A Comparison of Neuroelectrophysiology Databases. CoRR (2023)
Dung Truong, Muhammad Abdullah Khalid, Arnaud Delorme
Deep learning applied to EEG data with different montages using spatial attention. BIBM (2023)
Dung Truong, Muhammad Abdullah Khalid, Arnaud Delorme
Deep learning applied to EEG data with different montages using spatial attention. CoRR (2023)
Franziska Pellegrini, Arnaud Delorme, Vadim V. Nikulin, Stefan Haufe
Identifying good practices for detecting inter-regional linear functional connectivity from EEG. NeuroImage 277 (2023)
Gwenevere Frank, Scott Makeig, Arnaud Delorme
A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithm. BIBM (2022)
Dung Truong, Manisha Sinha, Kannan Umadevi Venkataraju, Michael P. Milham, Arnaud Delorme
A streamable large-scale clinical EEG dataset for Deep Learning. CoRR (2022)
Dung Truong, Manisha Sinha, Kannan Umadevi Venkataraju, Michael P. Milham, Arnaud Delorme
A streamable large-scale clinical EEG dataset for Deep Learning. EMBC (2022)
Arnaud Delorme, Dung Truong, Choonhan Youn, Subhashini Sivagnanam, Claire Stirm, Kenneth Yoshimoto, Russell A. Poldrack, Amitava Majumdar, Scott Makeig
NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data. Database J. Biol. Databases Curation 2022 (2022) (2022)
Arnaud Delorme, Dung Truong, Ramón Martínez-Cancino, Cyril Pernet, Subha Sivagnanam, Kenneth Yoshimoto, Russ Poldrack, Amit Majumdar, Scott Makeig
Tools for Importing and Evaluating BIDS-EEG Formatted Data. NER (2021)
Cédric Cannard, Helané Wahbeh, Arnaud Delorme
Validating the wearable MUSE headset for EEG spectral analysis and Frontal Alpha Asymmetry. BIBM (2021)
Dung Truong, Scott Makeig, Arnaud Delorme
Assessing learned features of Deep Learning applied to EEG. BIBM (2021)
Arnaud Delorme, Jeffery A. Martin
Automated Data Cleaning for the Muse EEG. BIBM (2021)
Dung Truong, Michael Milham, Scott Makeig, Arnaud Delorme
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features. EMBC (2021)
Ramón Martínez-Cancino, Arnaud Delorme, Dung Truong, Fiorenzo Artoni, Kenneth Kreutz-Delgado, Subhashini Sivagnanam, Kenneth Yoshimoto, Amitava Majumdar, Scott Makeig
The open EEGLAB portal Interface: High-Performance computing with EEGLAB. NeuroImage 224 (2021)
Kay Robbins, Dung Truong, Stefan Appelhoff, Arnaud Delorme, Scott Makeig
Capturing the nature of events and event context using hierarchical event descriptors (HED). NeuroImage 245 (2021)
Dung Truong, Scott Makeig, Arnaud Delorme
Assessing learned features of Deep Learning applied to EEG. CoRR (2021)
Dung Truong, Michael Milham, Scott Makeig, Arnaud Delorme
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features. CoRR (2021)
Ramón Martínez-Cancino, Arnaud Delorme, Johanna Wagner, Kenneth Kreutz-Delgado, Roberto C. Sotero, Scott Makeig
What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals? Entropy 22 (11) (2020)
Subhashini Sivagnanam, Kenneth Yoshimoto, Ted Carnevale, Dave Nadeau, Martin Kandes, Trevor Petersen, Dung Truong, Ramón Martínez-Cancino, Arnaud Delorme, Scott Makeig, Amit Majumdar
Neuroscience Gateway Enabling Large Scale Modeling and Data Processing in Neuroscience Research. PEARC (2020)
Ramón Martínez-Cancino, Arnaud Delorme, Kenneth Kreutz-Delgado, Scott Makeig
Computing Phase Amplitude Coupling in EEGLAB: PACTools. BIBE (2020)
Ramón Martínez-Cancino, Joseph Heng, Arnaud Delorme, Kenneth Kreutz-Delgado, Roberto C. Sotero, Scott Makeig
Measuring transient phase-amplitude coupling using local mutual information. NeuroImage 185 (2019)
Bertille Somon, Aurélie Campagne, Arnaud Delorme, Bruno Berberian
Human or not human? Performance monitoring ERPs during human agent and machine supervision. NeuroImage 186 (2019)
Arnaud Delorme, Amitava Majumdar, Subhashini Sivagnanam, Ramón Martínez-Cancino, Kenneth Yoshimoto, Scott Makeig
The Open EEGLAB portal. NER (2019)
Fiorenzo Artoni, Arnaud Delorme, Scott Makeig
Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition. NeuroImage 175 (2018)
Jonas Gouraud, Arnaud Delorme, Bruno Berberian
A Preliminary Study on the Influence of Automation over Mind Wandering Frequency in Sustained Attention. ECCE (2017)
Romain Grandchamp, Arnaud Delorme
The Brainarium: An Interactive Immersive Tool for Brain Education, Art, and Neurotherapy. Comput. Intell. Neurosci. 2016 (2016)
Clement Lee, Makoto Miyakoshi, Arnaud Delorme, Gert Cauwenberghs, Scott Makeig
Non-parametric group-level statistics for source-resolved ERP analysis. EMBC (2015)
Gautier Durantin, Sebastien Scannella, Thibault Gateau, Arnaud Delorme, Frédéric Dehais
Moving Average Convergence Divergence filter preprocessing for real-time event-related peak activity onset detection : Application to fNIRS signals. EMBC (2014)
Fiorenzo Artoni, Danilo Menicucci, Arnaud Delorme, Scott Makeig, Silvestro Micera
RELICA: A method for estimating the reliability of independent components. NeuroImage 103 (2014)
Makoto Miyakoshi, Arnaud Delorme, Tim R. Mullen, Katsuaki Kojima, Scott Makeig, Eishi Asano
Automated detection of cross-frequency coupling in the electrocorticogram for clinical inspection. EMBC (2013)
Romain Grandchamp, Claire Braboszcz, Scott Makeig, Arnaud Delorme
Stability of ICA decomposition across within-subject EEG datasets. EMBC (2012)
Arnaud Delorme, Tim R. Mullen, Christian Kothe, Zeynep Akalin Acar, Nima Bigdely Shamlo, Andrey Vankov, Scott Makeig
EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing. Comput. Intell. Neurosci. 2011 (2011)
Claire Braboszcz, Arnaud Delorme
Lost in thoughts: Neural markers of low alertness during mind wandering. NeuroImage 54 (4) (2011)
B. Rael Cahn, Arnaud Delorme, John Polich
Occipital gamma activation during Vipassana meditation. Cogn. Process. 11 (1) (2010)
Arnaud Delorme, Scott Makeig
Open Source Programming for Interpreted Language: Graphic Interface and Macro Bridging Interface in the EEGLAB Software. SITIS (2009)
Romain Grandchamp, Arnaud Delorme
NeuroTRIP: A Framework for Bridging between Open Source Software. Application to Training a Brain Machine Interface. SITIS (2009)
Ruey-Song Huang, Tzyy-Ping Jung, Arnaud Delorme, Scott Makeig
Tonic and phasic electroencephalographic dynamics during continuous compensatory tracking. NeuroImage 39 (4) (2008)
Arnaud Delorme, Terrence J. Sejnowski, Scott Makeig
Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. NeuroImage 34 (4) (2007)
Julie Onton, Arnaud Delorme, Scott Makeig
Frontal midline EEG dynamics during working memory. NeuroImage 27 (2) (2005)
Arnaud Delorme
Early Cortical Orientation Selectivity: How Fast Inhibition Decodes the Order of Spike Latencies. J. Comput. Neurosci. 15 (3) (2003)
Arnaud Delorme, Scott Makeig, Michèle Fabre-Thorpe, Terrence J. Sejnowski
From single-trial EEG to brain area dynamics. Neurocomputing (2002)
Rufin van Rullen, Arnaud Delorme, Simon J. Thorpe
Feed-forward contour integration in primary visual cortex based on asynchronous spike propagation. Neurocomputing (2001)
Arnaud Delorme, Simon J. Thorpe
Face identification using one spike per neuron: resistance to image degradations. Neural Networks 14 (6-7) (2001)
Simon J. Thorpe, Arnaud Delorme, Rufin van Rullen
Spike-based strategies for rapid processing. Neural Networks 14 (6-7) (2001)
Arnaud Delorme, Laurent Perrinet, Simon J. Thorpe
Networks of integrate-and-fire neurons using Rank Order Coding B: Spike timing dependent plasticity and emergence of orientation selectivity. Neurocomputing (2001)
Laurent Perrinet, Arnaud Delorme, Manuel Samuelides, Simon J. Thorpe
Networks of integrate-and-fire neuron using rank order coding A: How to implement spike time dependent Hebbian plasticity. Neurocomputing (2001)
Simon J. Thorpe, Arnaud Delorme, Rufin van Rullen, W. Paquier
Reverse engineering of the visual system using networks of spiking neurons. ISCAS (2000)
Arnaud Delorme, Jacques Gautrais, Rufin van Rullen, Simon J. Thorpe
SpikeNET: A simulator for modeling large networks of integrate and fire neurons. Neurocomputing (1999)
Arnaud Delorme, Ghislaine Richard, Michèle Fabre-Thorpe
Rapid processing of complex natural scenes: A role for the magnocellular visual pathways? Neurocomputing (1999)