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Institute of Neuroscience and Medicine – Cognitive Neuroscience (INM-3) (Forschungszentrum Jülich)
The dataverse of the Institute of Neuroscience and Medicine – Cognitive Neuroscience (INM-3)
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2,521 to 2,530 of 2,665 Results
stats_rplv.m
MATLAB Source Code - 5.5 KB - SHA-256: 7455535058b0560f0be47a9acc2bce20c8b690560c6e13cfe51d17811510fe8b
switch_hands_function.m
MATLAB Source Code - 2.2 KB - SHA-256: 9d64515a914560090816e2961ad9ab685f08a0d250c7681039a1845e8fa8ea5c
Sub01_eeg.mat
MATLAB Data - 1.5 GB - SHA-256: c857dcb16d15ff2939d25c68c721900f181319b43048cfcec8305e8582182c19
Sub01_trialSelection.mat
MATLAB Data - 205 B - SHA-256: 49c7eef5faf1752b5f46963a215391ff451f6c893c121025fe602b3d2558ceb7
Sub02_eeg.mat
MATLAB Data - 565.5 MB - SHA-256: 47ca34c6753850d90b42af54d5bba04ac4ad3b15b09510a2fa03070d011f09a3
Sub02_trialSelection.mat
MATLAB Data - 211 B - SHA-256: ff61b4e4b2ad1239a326c4e63cc8160c77aade50ce8a20b0c083c1351c40be1b
Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects
Dec 9, 2020 - Computational Neurology Dataverse
Rosjat, Nils; Wang, Bin A.; Liu, Liqing; Fink, Gereon R.; Daun, Silvia, 2020, "Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects", https://doi.org/10.26165/JUELICH-DATA/T1PKNZ, Jülich DATA, V1
Data description This dataset includes EEG recordings of 18 younger healthy subjects (18-35yrs) and 24 older healthy subjects (60+yrs) while they performed a visually cued finger tapping task. The task includes a visually-cued index finger tapping task and a vision-only control c...
BehavDataOldSubj.xlsx
MS Excel Spreadsheet - 13.2 KB - SHA-256: 5186b5e8e57fb29e25a6032385999a2e95166e2a9483ce720a6dab61796301b3
BehavDataYoungSubj.xlsx
MS Excel Spreadsheet - 12.2 KB - SHA-256: fce0a0cd4a8f62a2fdb1778c91994d00427060ba60cd323e65523b25f69507f2
dataset_description.json
JSON - 276 B - SHA-256: 82bd306403e458773991dc62f3f540d08be4daeeb75cb771517160255a12486e
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