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Arnaud Delorme
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2020 – today
- 2023
- [j25]Franziska Pellegrini
, Arnaud Delorme, Vadim V. Nikulin, Stefan Haufe
Identifying good practices for detecting inter-regional linear functional connectivity from EEG. NeuroImage 277: 120218 (2023) - [c20]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: 205-210 - [c19]Dung Truong, Muhammad Abdullah Khalid, Arnaud Delorme:
Deep learning applied to EEG data with different montages using spatial attention. BIBM 2023: 2587-2593 - [i5]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
A Comparison of Neuroelectrophysiology Databases. CoRR abs/2306.15041 (2023) - [i4]Dung Truong, Muhammad Abdullah Khalid, Arnaud Delorme
Deep learning applied to EEG data with different montages using spatial attention. CoRR abs/2310.10550 (2023) - 2022
- [j24]Arnaud Delorme
NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data. Database J. Biol. Databases Curation 2022(2022) (2022) - [c18]Gwenevere Frank, Scott Makeig, Arnaud Delorme:
A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithm. BIBM 2022: 2009-2016 - [c17]Dung Truong, Manisha Sinha, Kannan Umadevi Venkataraju, Michael P. Milham, Arnaud Delorme:
A streamable large-scale clinical EEG dataset for Deep Learning. EMBC 2022: 1058-1061 - [i3]Dung Truong, Manisha Sinha, Kannan Umadevi Venkataraju, Michael P. Milham, Arnaud Delorme:
A streamable large-scale clinical EEG dataset for Deep Learning. CoRR abs/2203.02552 (2022) - 2021
- [j23]Ramón Martínez-Cancino
The open EEGLAB portal Interface: High-Performance computing with EEGLAB. NeuroImage 224: 116778 (2021) - [j22]Kay Robbins, Dung Truong, Stefan Appelhoff
Capturing the nature of events and event context using hierarchical event descriptors (HED). NeuroImage 245: 118766 (2021) - [c16]Arnaud Delorme, Jeffery A. Martin:
Automated Data Cleaning for the Muse EEG. BIBM 2021: 1-5 - [c15]Cédric Cannard, Helané Wahbeh, Arnaud Delorme:
Validating the wearable MUSE headset for EEG spectral analysis and Frontal Alpha Asymmetry. BIBM 2021: 3603-3610 - [c14]Dung Truong, Scott Makeig, Arnaud Delorme:
Assessing learned features of Deep Learning applied to EEG. BIBM 2021: 3667-3674 - [c13]Dung Truong, Michael P. Milham, Scott Makeig, Arnaud Delorme:
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features. EMBC 2021: 1039-1042 - [c12]Arnaud Delorme
Tools for Importing and Evaluating BIDS-EEG Formatted Data. NER 2021: 210-213 - [i2]Dung Truong, Michael P. Milham, Scott Makeig, Arnaud Delorme
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features. CoRR abs/2105.04762 (2021) - [i1]Dung Truong, Scott Makeig, Arnaud Delorme
Assessing learned features of Deep Learning applied to EEG. CoRR abs/2111.04309 (2021) - 2020
- [j21]Ramón Martínez-Cancino, Arnaud Delorme, Johanna Wagner
What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals? Entropy 22(11): 1262 (2020) - [c11]Ramón Martínez-Cancino, Arnaud Delorme, Kenneth Kreutz-Delgado, Scott Makeig:
Computing Phase Amplitude Coupling in EEGLAB: PACTools. BIBE 2020: 387-394 - [c10]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: 510-513
2010 – 2019
- 2019
- [j20]Ramón Martínez-Cancino
Measuring transient phase-amplitude coupling using local mutual information. NeuroImage 185: 361-378 (2019) - [j19]Bertille Somon
Human or not human? Performance monitoring ERPs during human agent and machine supervision. NeuroImage 186: 266-277 (2019) - [c9]Arnaud Delorme, Amitava Majumdar, Subhashini Sivagnanam, Ramón Martínez-Cancino, Kenneth Yoshimoto, Scott Makeig:
The Open EEGLAB portal. NER 2019: 1142-1145 - 2018
- [j18]Fiorenzo Artoni
Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition. NeuroImage 175: 176-187 (2018) - 2017
- [c8]Jonas Gouraud, Arnaud Delorme, Bruno Berberian
A Preliminary Study on the Influence of Automation over Mind Wandering Frequency in Sustained Attention. ECCE 2017: 31-34 - 2016
- [j17]Romain Grandchamp
The Brainarium: An Interactive Immersive Tool for Brain Education, Art, and Neurotherapy. Comput. Intell. Neurosci. 2016: 4204385:1-4204385:12 (2016) - 2015
- [c7]Clement Lee, Makoto Miyakoshi
Non-parametric group-level statistics for source-resolved ERP analysis. EMBC 2015: 7450-7453 - 2014
- [j16]Fiorenzo Artoni
RELICA: A method for estimating the reliability of independent components. NeuroImage 103: 391-400 (2014) - [c6]Gautier Durantin, Sebastien Scannella
Moving Average Convergence Divergence filter preprocessing for real-time event-related peak activity onset detection : Application to fNIRS signals. EMBC 2014: 2107-2110 - 2013
- [c5]Makoto Miyakoshi
Automated detection of cross-frequency coupling in the electrocorticogram for clinical inspection. EMBC 2013: 3282-3285 - 2012
- [c4]Romain Grandchamp
Stability of ICA decomposition across within-subject EEG datasets. EMBC 2012: 6735-6739 - 2011
- [j15]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: 130714:1-130714:12 (2011) - [j14]Claire Braboszcz
Lost in thoughts: Neural markers of low alertness during mind wandering. NeuroImage 54(4): 3040-3047 (2011) - 2010
- [j13]B. Rael Cahn
Occipital gamma activation during Vipassana meditation. Cogn. Process. 11(1): 39-56 (2010) - [p1]Arnaud Delorme, Christian Kothe, Andrey Vankov, Nima Bigdely Shamlo, Robert Oostenveld, Thorsten O. Zander, Scott Makeig:
MATLAB-Based Tools for BCI Research. Brain-Computer Interfaces 2010: 241-259
2000 – 2009
- 2009
- [c3]Arnaud Delorme, Scott Makeig:
Open Source Programming for Interpreted Language: Graphic Interface and Macro Bridging Interface in the EEGLAB Software. SITIS 2009: 430-434 - [c2]Romain Grandchamp
NeuroTRIP: A Framework for Bridging between Open Source Software. Application to Training a Brain Machine Interface. SITIS 2009: 451-457 - 2008
- [j12]Ruey-Song Huang
Tonic and phasic electroencephalographic dynamics during continuous compensatory tracking. NeuroImage 39(4): 1896-1909 (2008) - 2007
- [j11]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): 1443-1449 (2007) - 2005
- [j10]Julie Onton, Arnaud Delorme, Scott Makeig
Frontal midline EEG dynamics during working memory. NeuroImage 27(2): 341-356 (2005) - 2003
- [j9]Arnaud Delorme:
Early Cortical Orientation Selectivity: How Fast Inhibition Decodes the Order of Spike Latencies. J. Comput. Neurosci. 15(3): 357-365 (2003) - 2002
- [j8]Arnaud Delorme, Scott Makeig, Michèle Fabre-Thorpe, Terrence J. Sejnowski:
From single-trial EEG to brain area dynamics. Neurocomputing 44-46: 1057-1064 (2002) - 2001
- [j7]Arnaud Delorme, Laurent Perrinet
Networks of integrate-and-fire neurons using Rank Order Coding B: Spike timing dependent plasticity and emergence of orientation selectivity. Neurocomputing 38-40: 539-545 (2001) - [j6]Laurent Perrinet
Networks of integrate-and-fire neuron using rank order coding A: How to implement spike time dependent Hebbian plasticity. Neurocomputing 38-40: 817-822 (2001) - [j5]Rufin VanRullen
Feed-forward contour integration in primary visual cortex based on asynchronous spike propagation. Neurocomputing 38-40: 1003-1009 (2001) - [j4]Simon J. Thorpe
Spike-based strategies for rapid processing. Neural Networks 14(6-7): 715-725 (2001) - [j3]Arnaud Delorme, Simon J. Thorpe
Face identification using one spike per neuron: resistance to image degradations. Neural Networks 14(6-7): 795-803 (2001) - 2000
- [c1]Simon J. Thorpe
Reverse engineering of the visual system using networks of spiking neurons. ISCAS 2000: 405-408
1990 – 1999
- 1999
- [j2]Arnaud Delorme, Ghislaine Richard, Michèle Fabre-Thorpe:
Rapid processing of complex natural scenes: A role for the magnocellular visual pathways? Neurocomputing 26-27: 663-670 (1999) - [j1]Arnaud Delorme, Jacques Gautrais
SpikeNET: A simulator for modeling large networks of integrate and fire neurons. Neurocomputing 26-27: 989-996 (1999)
Coauthor Index
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