2023 CCN Time Window Project Code

DOI

Notebooks/ scripts used for the time window project done for our CCN contribution in 2023.

The notebooks will simulate EEG data based on a known "ground truth" ERP and test whether the estimation length during ERP activity estimation will have an Influence on the results. To get a first impression why this is important please have a look at our online application: http://estimationwindow.ccn2023.s-ccs.de

Used notebooks can be found in \PlutoNB; generally, the nb_CCN2023_unfoldEstimationWindow_exploration was used during actual project work. However, nb_CCN2023_unfoldEstimationWindow.jl is a cleaned-up version and more readable. To replicate the results simply open and run the notebook in question using Pluto.jl

Identifier
DOI https://doi.org/10.18419/darus-3635
Related Identifier IsCitedBy https://doi.org/10.1101/2023.06.05.543689
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-3635
Provenance
Creator Skukies, René ORCID logo
Publisher DaRUS
Contributor Skukies, René; Ehinger, Benedikt
Publication Year 2023
Funding Reference DFG EXC 2075 - 390740016 ; Stuttgart Center for Simulation Science (SimTech)
Rights MIT License; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/MIT.html
OpenAccess true
Contact Skukies, René (Universität Stuttgart)
Representation
Resource Type Dataset
Format text/plain; charset=US-ASCII; application/octet-stream; text/markdown
Size 1083; 72628; 84279; 85849; 65176; 72562; 73183; 606
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Medicine; Social Sciences; Social and Behavioural Sciences; Soil Sciences