# Required fields # The main researchers involved working on the resource, # or the authors of the publication in priority order. # May be a corporate/institutional or personal name. # Include digital identifier (e.g., ORCID) if possible authors: - firstname: "Tim" lastname: "Rohe" affiliation: "Department of Psychiatry and Psychotherapy, Calwerstr. 14, University of Tuebingen, 72076 Tuebingen, Germany" id: "AuthorID1 (e.g. ORCID)" - firstname: "Ann-Christine" lastname: "Ehlis" affiliation: "Department of Psychiatry and Psychotherapy, Calwerstr. 14, University of Tuebingen, 72076 Tuebingen, Germany" - firstname: "Uta" lastname: "Noppeney" affiliation: "Computational Neuroscience and Cognitive Robotics Centre, University of Birmingham, Edgbaston, Birmingham, United Kingdom" # A name or title to describe the published resource. title: "The neural dynamics of hierarchical Bayesian causal inference in multisensory perception" # Any additional information. It is best practice to supply a description for the resource. description: This repository contains EEG raw data, behavioral data and source data from Rohe et al. (2019) # List of keywords the resource should be associated with. keywords: - Bayesian causal inference - Multisensory integration - EEG # Any rights information for this resource. Please provide both a license name and a link to the license. # Please add also a LICENSE file to the repository license: name: "Creative Commons CC0 1.0 Public Domain Dedication" url: "https://creativecommons.org/publicdomain/zero/1.0/" ## Optional Fields # Any funding reference for this resource. Separate funder name and grant number by comma funding: - "DFG RO 5587/1-1" - "ERC ERC-multsens, 309349" # Related publications. reftype might be: IsCitedBy, IsSupplementTo, IsReferencedBy, IsPartOf # for further valid types see https://schema.datacite.org/meta/kernel-4 # Please provide digital identifier (e.g., DOI) if possible. references: - reftype: "IsPartOf" name: "Rohe, T., Ehlis, A.-C. & Noppeney, U. The neural dynamics of hierarchical Bayesian causal inference in multisensory perception. Nature Communications, accepted (2019)" # Type of the data in this repository (Dataset, Model, Software, Other see # https://schema.datacite.org/meta/kernel-4.1/doc/DataCite-MetadataKernel_v4.1.pdf # for examples dtype: Dataset