{
  "Name": "Rotation-tolerant representations elucidate the time course of high-level object processing",
  "BIDSVersion": "1.6.0",
  "DatasetType": "raw",
  "Authors": [
    "Denise Moerel",
    "Tijl Grootswagers",
    "Amanda K. Robinson",
    "Patrick Engeler",
    "Alex O. Holcombe",
    "Thomas A. Carlson"
  ],
  "License": "CC0",
  "Acknowledgements": "The authors acknowledge the University of Sydney HPC service for providing High Performance Computing resources.",
  "DatasetDOI": "10.82901/nemar.on004252",
  "ReferencesAndLinks": [
    "Moerel D., Grootswagers T., Robinson A.K., Engeler P., Holcombe A.O., Carlson T.A. (2022). Rotation-tolerant representations elucidate the time-course of high-level object processing. PsyArXiv, wp73u",
    "Pre-print: https://doi.org/10.31234/osf.io/wp73u",
    "OSF: https://osf.io/r93es"
  ],
  "SourceDatasets": [
    {
      "DOI": "doi:10.18112/openneuro.ds004252.v1.1.0"
    }
  ],
  "Version": "1.0.0"
}