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dataset_description.json
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43 lines (43 loc) · 1.63 KB
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{
"Name": "multielectrode_grasp",
"BIDSVersion": "1.10.0",
"License": "CC-BY-4.0",
"DatasetType": "raw",
"Authors": [
"Thomas Brochier",
"Lyuba Zehl",
"Yaoyao Hao",
"Margaux Duret",
"Julia Sprenger",
"Michael Denker",
"Sonja Grün",
"Alexa Riehle"
],
"Acknowledgements": "We thank Emiliano Torre and Vahid Rostami for detecting and handling the hyper-synchronous event artifacts, and Florent Jaillet for developing the Event-Detection Toolbox in Matlab. Special thanks to Moshe Abeles who was a tough teacher for Sonja Grün and taught her the knowledge required for projects like this.",
"HowToAcknowledge": "Brochier T, Zehl L, Hao Y, Duret M, Sprenger J, Denker M, Grün S, Riehle A (2017) Massively parallel multi-electrode recordings of macaque motor cortex during an instructed delayed reach-to-grasp task. G-Node. https://doi.org/10.12751/g-node.f83565",
"Funding": [
"Helmholtz Portfolio 'Supercomputing and Modeling for the Human Brain' (SMHB)",
"EU Grants 604102 and 720270 (Human Brain Project, HBP)",
"Priority Program SPP 1665 of the DFG (GR 1753/4-2 and DE 2175/2-1)",
"Collaborative Research Agreement RIKEN-CNRS",
"ANR GRASP",
"CNRS (PEPS, Neuro_IC2010)",
"DAAD",
"LIA Vision for Action"
],
"ReferencesAndLinks": [
"https://doi.org/10.1038/sdata.2018.55"
],
"GeneratedBy": [
{
"Name": "Manual BIDS conversion",
"Description": "Converted from original Blackrock data format to BIDS"
}
],
"SourceDatasets": [
{
"URL": "https://gin.g-node.org/INT/multielectrode_grasp",
"DOI": "doi:10.12751/g-node.f83565"
}
]
}