{
"@context": "http://schema.org",
"@type": "Dataset",
"@id": "https://doi.org/10.6084/m9.figshare.5812764",
"url": "https://figshare.com/articles/EEG_Auditory_Oddball_Preprocessed_Data/5812764",
"additionalType": "Dataset",
"name": "EEG_Auditory_Oddball_Preprocessed_Data",
"author": [
{
"name": "Clare D Harris",
"givenName": "Clare D",
"familyName": "Harris",
"@type": "Person"
},
{
"name": "Elise G Rowe",
"givenName": "Elise G",
"familyName": "Rowe",
"@type": "Person"
},
{
"name": "Roshini Randeniya"
},
{
"name": "Marta I Garrido",
"givenName": "Marta I",
"familyName": "Garrido",
"@type": "Person"
}
],
"description": "This dataset was obtained at the Queensland Brain Institute, Australia, using a 64 channel EEG Biosemi system. 21 healthy participants completed an auditory oddball paradigm (as described in Garrido et al., 2017).
For a description of the oddball paradigm, please see Garrido et al., 2017:Garrido, M.I., Rowe, E.G., Halasz, V., & Mattingley, J. (2017). Bayesian mapping reveals that attention boosts neural responses to predicted and unpredicted stimuli. Cerebral Cortex, 1-12. DOI: 10.1093/cercor/bhx087
If you use this dataset, please cite its doi, as well as citing the associated methods paper, which is as follows:Harris, C.D., Rowe, E.G., Randeniya, R. and Garrido, M.I. (2018). Bayesian Model Selection Maps for group studies using M/EEG data.
For scripts to analyse the data, please see: https://github.com/ClareDiane/BMS4EEG
",
"license": "https://creativecommons.org/licenses/by/4.0/legalcode",
"keywords": "Neuroscience",
"contentSize": "10371203760 Bytes",
"dateCreated": "2018-01-23",
"datePublished": "2019",
"dateModified": "2019-01-31",
"schemaVersion": "http://datacite.org/schema/kernel-4",
"publisher": {
"@type": "Organization",
"name": "figshare"
},
"provider": {
"@type": "Organization",
"name": "datacite"
}
}