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Title | Unfold 1.2 - EEG Deconvolution Toolbox — Unfold EEG |
Description | Home Download from Github Getting Started Unfold’s toolbox workflow Massive univariate modeling (rERP) Artefacts & missing data/predictors Removing artifa |
Keywords | N/A |
WebSite | unfoldtoolbox.org |
Host IP | 81.169.220.239 |
Location | Germany |
Site | Rank |
US$1,377,141
Last updated: 2023-05-13 22:40:37
unfoldtoolbox.org has Semrush global rank of 7,685,710. unfoldtoolbox.org has an estimated worth of US$ 1,377,141, based on its estimated Ads revenue. unfoldtoolbox.org receives approximately 158,901 unique visitors each day. Its web server is located in Germany, with IP address 81.169.220.239. According to SiteAdvisor, unfoldtoolbox.org is safe to visit. |
Purchase/Sale Value | US$1,377,141 |
Daily Ads Revenue | US$1,272 |
Monthly Ads Revenue | US$38,137 |
Yearly Ads Revenue | US$457,635 |
Daily Unique Visitors | 10,594 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
unfoldtoolbox.org. | A | 1799 | IP: 81.169.220.239 |
unfoldtoolbox.org. | NS | 300 | NS Record: ns4.stratoserver.net. |
unfoldtoolbox.org. | NS | 300 | NS Record: ns3.stratoserver.net. |
unfoldtoolbox.org. | MX | 1800 | MX Record: 10 unfoldtoolbox.org. |
unfoldtoolbox.org. | TXT | 300 | TXT Record: v=spf1 a mx a:wirdreibei.de ip4:81.169.241.227 ip6:2a01:238:43d3:2600:0:3:0:1 -all |
Home Download from Github Getting Started Unfold’s toolbox workflow Massive univariate modeling (rERP) Artefacts & missing data/predictors Removing artifactual data Imputation of missing data Theoretical Background Introduction to linear modeling Why deconvolution? How does deconvolution work? Introduction to additive/spline linear modeling The connection of (formal) convolution and timeexpansion Tutorials / Examples Quickstart: 2x2 ANOVA Longstart: 2x2 ANOVA Non-Linear Predictors using splines With and without deconvolution Time-Basis functions 2nd level (group/subject) statistics Single trial ERPimages Temporal Response Functions (TRFs) Analysis from the PeerJ paper Function Documentation Essential functions Data cleaning Massive univariate linear modelling Designmatrix-Tools Post-Fit tools Plotting plot events & designmatrix plot results Data Structures Minimal Data Specifications Fields of EEG.unfold() Fields of ufresult() Fields of unfold.splines() Getting Started Theoretical |
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