A
Aina Puce
Publications - 4
Citations - 36
Aina Puce is an academic researcher. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 2, co-authored 4 publications receiving 36 citations.
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Journal ArticleDOI
Advances in human intracranial electroencephalography research, guidelines and good practices
Manuel R. Mercier,Anne-Sophie Dubarry,François Tadel,Pietro Avanzini,Nikolai Axmacher,Dillan Cellier,Maria Del Vecchio,Liberty S. Hamilton,Dora Hermes,Michael J. Kahana,Robert T. Knight,Anaïs Llorens,Pierre Mégevand,Lucia Melloni,Kai J. Miller,Vitória Piai,Aina Puce,Nick F. Ramsey,Caspar M. Schwiedrzik,Sydney Smith,Arjen Stolk,Nicole C. Swann,Mariska J. Vansteensel,Bradley Voytek,Liang Wang,Jean-Philippe Lachaux,Robert Oostenveld +26 more
TL;DR: In this paper , the authors present a critical review of iEEG research practices in a didactic framework for newcomers, as well addressing issues encountered by proficient researchers, and suggest potential guidelines for working with the data and answer frequently asked questions based on the most widespread practices.
Journal ArticleDOI
Good scientific practice in EEG and MEG research: Progress and perspectives
Guiomar Niso,Laurens R. Krol,Etienne Combrisson,Anne-Sophie Dubarry,Madison Elliott,Clément François,Yseult Héjja-Brichard,Sophie K. Herbst,Karim Jerbi,Vanja Kovic,Katia Lehongre,Steven J. Luck,Manuel R. Mercier,John C. Mosher,Yuri G. Pavlov,Aina Puce,Antonio Schettino,Daniele Schön,Walter Sinnott-Armstrong,Bertille Somon,Anđela Šoškić,Suzy J. Styles,Roni Tibon,Martina G. Vilas,Marijn van Vliet,Maximilien Chaumon +25 more
TL;DR: Good scientific practice (GSP) refers to both explicit and implicit rules, recommendations, and guidelines that help scientists to produce work that is of the highest quality at any given time, and to efficiently share that work with the community for further scrutiny or utilization as discussed by the authors .
Posted ContentDOI
Neurodesk: An accessible, flexible, and portable data analysis environment for reproducible neuroimaging
Angela I. Renton,Thanh Thuy Dao,David F. Abbott,Saskia Bollmann,Megan E. J. Campbell,Jeryn Chang,Thomas G. Close,Korbinian Eckstein,Gary F. Egan,Stefanie Evas,Kelly Garner,Marta I. Garrido,Anthony J. Hannan,R. Huber,Tom D. Johnstone,Jakub Kaczmarzyk,Lars Kasper,Levin Kuhlmann,Kexin Lou,Paris Lyons,Jason B. Mattingley,Akshaiy Narayanan,Franco Pestilli,Aina Puce,Fernanda Lenita Ribeiro,Nigel C. Rogasch,Thomas B. Shaw,Paul F. Sowman,Gershon Spitz,Ashley W. Stewart,Ryan P. Sullivan,David J. White,Xincheng Ye,Judy D. Zhu,Aswin Narayanan,Steffen Bollmann +35 more
TL;DR: Neurodesk as discussed by the authors is an open-source platform for neuroimaging data analysis, allowing for accessible, flexible, fully reproducible, and portable data analysis pipelines, which includes a browser-accessible virtual desktop environment and a command line interface.
Journal ArticleDOI
brainlife.io: A decentralized and open source cloud platform to support neuroscience research
Soichi Hayashi,Bradley Caron,Anibal Sólon Heinsfeld,Sophia Vinci-Booher,Brent McPherson,Daniel Bullock,Giulia Bertò,Sandra Hanekamp,Daniel Levitas,Lindsey Kitchell,Josiah K. Leong,Serge Koudoro,Hannah E. Willis,Jasleen K Jolly,Derek Pisner,Taylor R Zuidema,Aurore Bussalb,Chris Rorden,Dogu Baran Aydogan,Frank Yeh,Franco Delogu,Javier Guaje,Jelle Veraart,Jeremy Fischer,Joshua Faskowitz,Maximilien Chaumon,Ricardo Fabrega,D.R. Hunt,Shawn A McKee,Shawn T. Brown,Vittorio Iacovella,Amanda F. Mejia,D. Marinazzo,R. Cameron Craddock,Emanuele Olivetti,Jamie Hanson,Paolo Avesani,Eleftherios Garyfallidis,Dan Stanzione,James P. Carson,Robert Henschel,Dave Hancock,Craig A. Stewart,David M. Schnyer,Damian Eke,Russell A. Poldrack,Nathalie George,Holly Bridge,Ilaria Sani,Winrich A. Freiwald,Aina Puce,Nicholas Port,Franco Pestilli +52 more
TL;DR: The brainlife.io platform as discussed by the authors automatically tracks the provenance history of thousands of data objects, supporting simplicity, efficiency, and transparency in neuroscience research, and provides open-source data standardization, management, visualization, and processing and simplifies the data pipeline.