Eric Larson

38 papers A* 2A 4B 1C 3Misc 2Journal 18Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
MNE-LSL: Real-time framework integrated with MNE-Python for online neuroscience research through LSL-compatible devices.
J. Open Source Softw.
Mathieu Scheltienne, Eric Larson, Arnaud Desvachez, Kyuhwa Lee
2025 J jnl
On the Potential of Digital Twins for Distribution System State Estimation with Randomly Missing Data in Heterogeneous Measurements.
CoRR
Ying Zhang, Yihao Wang, Yuanshuo Zhang, Eric Larson, Di Shi, Fanping Sui
2025 J jnl
Scaling green hydrogen and CCUS via cement-methanol co-production in China.
CoRR
Yuezhang He, Hongxi Luo, Yuancheng Lin, Carl J. Talsma, Anna Li, Zhenqian Wang, Yujuan Fang, Pei Liu, Jesse D. Jenkins, Eric Larson, Zheng Li
2024 J jnl
Cycling on the Freeway: The Perilous State of Open Source Neuroscience Software.
CoRR
Britta U. Westner, Daniel R. McCloy, Eric Larson, Alexandre Gramfort, Daniel S. Katz, Arfon M. Smith, invited co-signees
2022 J jnl
Intracranial Electrode Location and Analysis in MNE-Python.
J. Open Source Softw.
Alexander Rockhill, Eric Larson, Brittany Stedelin, Alessandra Mantovani, Ahmed M. Raslan, Alexandre Gramfort, Nicole C. Swann
2021 J jnl
Extended Signal-Space Separation Method for Improved Interference Suppression in MEG.
IEEE Trans. Biomed. Eng.
Liisa Helle, Jukka Nenonen, Eric Larson, Juha Simola, Lauri Parkkonen, Samu Taulu
2021 Misc conf
Implementation matters: How patient experiences differ when genetic counseling accompanies the return of genetic variants of uncertain significance.
AMIA
Harsh V. Patel, Nora Henrikson, James D. Ralston, Kathleen A. Leppig, Aaron Scrol, Gail P. Jarvik, Shannon DeVange, Eric Larson, Andrea L. Hartzler
2021 J jnl
Structural templates for imaging EEG cortical sources in infants.
NeuroImage
Christian O'Reilly, Eric Larson, John E. Richards, Mayada Elsabbagh
2021 J jnl
Unified Expression of the Quasi-Static Electromagnetic Field: Demonstration With MEG and EEG Signals.
IEEE Trans. Biomed. Eng.
Samu Taulu, Eric Larson
2019 J jnl
MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis.
J. Open Source Softw.
Stefan Appelhoff, Matthew Sanderson, Teon Brooks, Marijn van Vliet, Romain Quentin, Chris Holdgraf, Maximilien Chaumon, Ezequiel Mikulan, Kambiz Tavabi, Richard Höchenberger, Dominik Welke, Clemens Brunner, Alexander Rockhill, Eric Larson, Alexandre Gramfort, Mainak Jas
2019 J jnl
SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python.
CoRR
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, CJ Carey, Ilhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, SciPy 1. 0 Contributors
2018 J jnl
Reducing Sensor Noise in MEG and EEG Recordings Using Oversampled Temporal Projection.
IEEE Trans. Biomed. Eng.
Eric Larson, Samu Taulu
2018 C conf
[Research Paper] Automatic Checking of Regular Expressions.
SCAM
Eric Larson
2016 A conf
Generating Evil Test Strings for Regular Expressions.
ICST
Eric Larson, Anna Kirk
2015 — conf
Mind the Noise Covariance When Localizing Brain Sources with M/EEG.
PRNI
Denis A. Engemann, Daniel Strohmeier, Eric Larson, Alexandre Gramfort
2015 — conf
VisPy: Harnessing The GPU For Fast, High-Level Visualization.
SciPy
Luke Campagnola, Almar Klein, Eric Larson, Cyrille Rossant, Nicolas P. Rougier
2014 J jnl
MNE software for processing MEG and EEG data.
NeuroImage
Alexandre Gramfort, Martin Luessi, Eric Larson, Denis A. Engemann, Daniel Strohmeier, Christian Brodbeck, Lauri Parkkonen, Matti S. Hämäläinen
2014 — conf
Should Executives Consider the Rarity of IT Resources When Courting Alliance Partners?
AMCIS
Ruchika Sethi, Eric Larson, Ali Tafti
2014 J jnl
Switching auditory attention using spatial and non-spatial features recruits different cortical networks.
NeuroImage
Eric Larson, Adrian K. C. Lee
2013 — conf
An automated test system for measuring and improving electrosurgical effects.
MeMeA
Anup Amin, Daniel A. Friedrichs, Carolyn Ford, Eric Larson, James G. R. Gilbert
2013 A conf
MDAT: a multithreading debugging and testing tool.
SIGCSE
Eric Larson, Rochelle Palting
2013 J jnl
Program analysis too loopy? Set the loops aside.
IET Softw.
Eric Larson
2013 J jnl
The cortical dynamics underlying effective switching of auditory spatial attention.
NeuroImage
Eric Larson, Adrian K. C. Lee
2013 — conf
The role of augmentative visual training in auditory human-machine-interface performance.
EMBC
Gabrielle L. Hands, Eric Larson, Cara E. Stepp
2013 — conf
Towards a next-generation hearing aid through brain state classification and modeling.
EMBC
Mark Wronkiewicz, Eric Larson, Adrian K. C. Lee
2012 — conf
Audio-visual feedback for electromyographic control of vowel synthesis.
EMBC
Eric Larson, Howard P. Terry, Cara E. Stepp
2011 C conf
Program Analysis Too Loopy? Set the Loops Aside.
SCAM
Eric Larson
2010 J jnl
SUDS: an infrastructure for creating dynamic software defect detection tools.
Autom. Softw. Eng.
Eric Larson
2009 A conf
A plethora of paths.
ICPC
Eric Larson
2007 C conf
SUDS: An Infrastructure for Creating Bug Detection Tools.
SCAM
Eric Larson
2006 A conf
An undergraduate course on software bug detection tools and techniques.
SIGCSE
Eric Larson
2006 J jnl
SUDS: an infrastructure for dynamic software bug detection using static analysis.
ACM SIGSOFT Softw. Eng. Notes
Eric Larson
2004 — —
Efficient dynamic detection of input related software faults.
Eric Larson
2003 A* conf
High Coverage Detection of Input-Related Security Faults.
USENIX Security Symposium
Eric Larson, Todd M. Austin
2002 Misc conf
Effective support of simulation in computer architecture instruction.
WCAE
Christopher T. Weaver, Eric Larson, Todd M. Austin
2002 J jnl
SimpleScalar: An Infrastructure for Computer System Modeling.
Computer
Todd M. Austin, Eric Larson, Dan Ernst
2001 B conf
MASE: a novel infrastructure for detailed microarchitectural modeling.
ISPASS
Eric Larson, Saugata Chatterjee, Todd M. Austin
2000 A* conf
Compiler controlled value prediction using branch predictor based confidence.
MICRO
Eric Larson, Todd M. Austin