SpikeNET: A simulator for modeling large networks of integrate and fire neurons. - Arnaud Delorme; Jacques Gautrais; Rufin Van Rullen; Simon J. Thorpe (Neurocomputing, 1999)

Rapid processing of complex natural scenes: A role for the magnocellular visual pathways? - Arnaud Delorme; Ghislaine Richard; Michèle Fabre-Thorpe (Neurocomputing, 1999)

Reverse engineering of the visual system using networks of spiking neurons. - Simon J. Thorpe; Arnaud Delorme; Rufin Van Rullen; W. Paquier (ISCAS, 2000)

Networks of integrate-and-fire neurons using Rank Order Coding B: Spike timing dependent plasticity and emergence of orientation selectivity. - Arnaud Delorme; Laurent Perrinet; Simon J. Thorpe (Neurocomputing, 2001)

Networks of integrate-and-fire neuron using rank order coding A: How to implement spike time dependent Hebbian plasticity. - Laurent Perrinet; Arnaud Delorme; Manuel Samuelides; Simon J. Thorpe (Neurocomputing, 2001)

Feed-forward contour integration in primary visual cortex based on asynchronous spike propagation. - Rufin VanRullen; Arnaud Delorme; Simon J. Thorpe (Neurocomputing, 2001)

Face identification using one spike per neuron: resistance to image degradations. - Arnaud Delorme; Simon J. Thorpe (Neural Networks, 2001)

Spike-based strategies for rapid processing. - Simon J. Thorpe; Arnaud Delorme; Rufin Van Rullen (Neural Networks, 2001)

From single-trial EEG to brain area dynamics. - Arnaud Delorme; Scott Makeig; Michèle Fabre-Thorpe; Terrence J. Sejnowski (Neurocomputing, 2002)

Early Cortical Orientation Selectivity: How Fast Inhibition Decodes the Order of Spike Latencies. - Arnaud Delorme (J. Comput. Neurosci., 2003)

Frontal midline EEG dynamics during working memory. - Julie Onton; Arnaud Delorme; Scott Makeig (NeuroImage, 2005)

Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. - Arnaud Delorme; Terrence J. Sejnowski; Scott Makeig (NeuroImage, 2007)

Tonic and phasic electroencephalographic dynamics during continuous compensatory tracking. - Ruey-Song Huang; Tzyy-Ping Jung; Arnaud Delorme; Scott Makeig (NeuroImage, 2008)

Open Source Programming for Interpreted Language: Graphic Interface and Macro Bridging Interface in the EEGLAB Software. - Arnaud Delorme; Scott Makeig (SITIS, 2009)

NeuroTRIP: A Framework for Bridging between Open Source Software. Application to Training a Brain Machine Interface. - Romain Grandchamp; Arnaud Delorme (SITIS, 2009)

Occipital gamma activation during Vipassana meditation. - B. Rael Cahn; Arnaud Delorme; John Polich (Cogn. Process., 2010)

MATLAB-Based Tools for BCI Research. - Arnaud Delorme; Christian Kothe; Andrey Vankov; Nima Bigdely Shamlo; Robert Oostenveld; Thorsten O. Zander; Scott Makeig (Brain-Computer Interfaces, 2010)

EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing. - Arnaud Delorme; Tim R. Mullen; Christian Kothe; Zeynep Akalin Acar; Nima Bigdely Shamlo; Andrey Vankov; Scott Makeig (Comput. Intell. Neurosci., 2011)

Lost in thoughts: Neural markers of low alertness during mind wandering. - Claire Braboszcz; Arnaud Delorme (NeuroImage, 2011)

Stability of ICA decomposition across within-subject EEG datasets. - Romain Grandchamp; Claire Braboszcz; Scott Makeig; Arnaud Delorme (EMBC, 2012)

Automated detection of cross-frequency coupling in the electrocorticogram for clinical inspection. - Makoto Miyakoshi; Arnaud Delorme; Tim R. Mullen; Katsuaki Kojima; Scott Makeig; Eishi Asano (EMBC, 2013)

Moving Average Convergence Divergence filter preprocessing for real-time event-related peak activity onset detection : Application to fNIRS signals. - Gautier Durantin; Sebastien Scannella; Thibault Gateau; Arnaud Delorme; Frédéric Dehais (EMBC, 2014)

RELICA: A method for estimating the reliability of independent components. - Fiorenzo Artoni; Danilo Menicucci; Arnaud Delorme; Scott Makeig; Silvestro Micera (NeuroImage, 2014)

Non-parametric group-level statistics for source-resolved ERP analysis. - Clement Lee; Makoto Miyakoshi; Arnaud Delorme; Gert Cauwenberghs; Scott Makeig (EMBC, 2015)

The Brainarium: An Interactive Immersive Tool for Brain Education, Art, and Neurotherapy. - Romain Grandchamp; Arnaud Delorme (Comput. Intell. Neurosci., 2016)

A Preliminary Study on the Influence of Automation over Mind Wandering Frequency in Sustained Attention. - Jonas Gouraud; Arnaud Delorme; Bruno Berberian (ECCE, 2017)

Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition. - Fiorenzo Artoni; Arnaud Delorme; Scott Makeig (NeuroImage, 2018)

The Open EEGLAB portal. - Arnaud Delorme; Amitava Majumdar 001; Subhashini Sivagnanam; Ramón Martínez-Cancino; Kenneth Yoshimoto; Scott Makeig (NER, 2019)

Measuring transient phase-amplitude coupling using local mutual information. - Ramón Martínez-Cancino; Joseph Heng; Arnaud Delorme; Kenneth Kreutz-Delgado; Roberto C. Sotero; Scott Makeig (NeuroImage, 2019)

Human or not human? Performance monitoring ERPs during human agent and machine supervision. - Bertille Somon; Aurélie Campagne; Arnaud Delorme; Bruno Berberian (NeuroImage, 2019)

Computing Phase Amplitude Coupling in EEGLAB: PACTools. - Ramón Martínez-Cancino; Arnaud Delorme; Kenneth Kreutz-Delgado; Scott Makeig (BIBE, 2020)

Neuroscience Gateway Enabling Large Scale Modeling and Data Processing in Neuroscience Research. - Subhashini Sivagnanam; Kenneth Yoshimoto; Ted Carnevale; Dave Nadeau; Martin Kandes; Trevor Petersen; Dung Truong; Ramón Martínez-Cancino; Arnaud Delorme; Scott Makeig; Amit Majumdar 001 (PEARC, 2020)

What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals? - Ramón Martínez-Cancino; Arnaud Delorme; Johanna Wagner; Kenneth Kreutz-Delgado; Roberto C. Sotero; Scott Makeig (Entropy, 2020)

Validating the wearable MUSE headset for EEG spectral analysis and Frontal Alpha Asymmetry. - Cédric Cannard; Helané Wahbeh; Arnaud Delorme (BIBM, 2021)

Automated Data Cleaning for the Muse EEG. - Arnaud Delorme; Jeffery A. Martin (BIBM, 2021)

Assessing learned features of Deep Learning applied to EEG. - Dung Truong; Scott Makeig; Arnaud Delorme (BIBM, 2021)

Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features. - Dung Truong; Michael P. Milham; Scott Makeig; Arnaud Delorme (EMBC, 2021)

Tools for Importing and Evaluating BIDS-EEG Formatted Data. - Arnaud Delorme; Dung Truong; Ramón Martínez-Cancino; Cyril R. Pernet; Subha Sivagnanam; Kenneth Yoshimoto; Russ Poldrack; Amit Majumdar 001; Scott Makeig (NER, 2021)

The open EEGLAB portal Interface: High-Performance computing with EEGLAB. - Ramón Martínez-Cancino; Arnaud Delorme; Dung Truong; Fiorenzo Artoni; Kenneth Kreutz-Delgado; Subhashini Sivagnanam; Kenneth Yoshimoto; Amitava Majumdar 001; Scott Makeig (NeuroImage, 2021)

Capturing the nature of events and event context using hierarchical event descriptors (HED). - Kay Robbins; Dung Truong; Stefan Appelhoff; Arnaud Delorme; Scott Makeig (NeuroImage, 2021)

A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithm. - Gwenevere Frank; Scott Makeig; Arnaud Delorme (BIBM, 2022)

A streamable large-scale clinical EEG dataset for Deep Learning. - Dung Truong; Manisha Sinha; Kannan Umadevi Venkataraju; Michael P. Milham; Arnaud Delorme (EMBC, 2022)

NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data. - Arnaud Delorme; Dung Truong; Choonhan Youn; Subhashini Sivagnanam; Claire Stirm; Kenneth Yoshimoto; Russell A. Poldrack; Amitava Majumdar 001; Scott Makeig (Database J. Biol. Databases Curation, 2022)

An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA. - Gwenevere Frank; Seyed Yahya Shirazi; Jason A. Palmer; Gert Cauwenberghs; Scott Makeig; Arnaud Delorme (BIBE, 2023)

Deep learning applied to EEG data with different montages using spatial attention. - Dung Truong; Muhammad Abdullah Khalid; Arnaud Delorme (BIBM, 2023)

A Comparison of Neuroelectrophysiology Databases. - 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; et al. (CoRR, 2023)

Identifying good practices for detecting inter-regional linear functional connectivity from EEG. - Franziska Pellegrini; Arnaud Delorme; Vadim V. Nikulin; Stefan Haufe (NeuroImage, 2023)

bids-specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2023)

Automatic EEG Independent Component Classification Using ICLabel in Python. - Arnaud Delorme; Dung Truong; Luca Pion-Tonachini; Scott Makeig (BIBM, 2024)

EEG-SSL: A Framework for Self-Supervised Learning on EEG. - Dung Truong; Muhammad Abdullah Khalid; Arnaud Delorme (BIBM, 2024)

The Brain Imaging Data Structure (BIDS) Specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2024)

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding. - 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; et al. (CoRR, 2025)

Data Normalization Strategies for EEG Deep Learning. - Dung Truong; Arnaud Delorme (CoRR, 2025)