RT Journal Article
SR Electronic
T1 Integrated Open-Source Software for Multiscale Electrophysiology
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 584185
DO 10.1101/584185
A1 Konstantinos Nasiotis
A1 Martin Cousineau
A1 François Tadel
A1 Adrien Peyrache
A1 Richard M. Leahy
A1 Christopher C. Pack
A1 Sylvain Baillet
YR 2019
UL http://biorxiv.org/content/early/2019/03/21/584185.abstract
AB The methods for electrophysiology in neuroscience have evolved tremendously over the recent years with a growing emphasis on dense-array signal recordings. Such increased complexity and augmented wealth in the volume of data recorded, have not been accompanied by efforts to streamline and facilitate access to processing methods, which too are susceptible to grow in sophistication. Moreover, unsuccessful attempts to reproduce peer-reviewed publications indicate a problem of transparency in science. This growing problem could be tackled by unrestricted access to methods that promote research transparency and data sharing, ensuring the reproducibility of published results.Here, we provide a free, extensive, open-source software that provides data-analysis, data-management and multi-modality integration solutions for invasive neurophysiology. Users can perform their entire analysis through a user-friendly environment without the need of programming skills, in a tractable (logged) way. This work contributes to open-science, analysis standardization, transparency and reproducibility in invasive neurophysiology.