The neural dynamics of hierarchical Bayesian causal inference in multisensory perception

Dataset

Title The neural dynamics of hierarchical Bayesian causal inference in multisensory perception
Authors Rohe Tim, Ehlis Ann-Christine, Noppeney Uta,
Description This repository contains EEG raw data, behavioral data and source data from Rohe et al. (2019)
License Creative Commons CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/)
References Rohe, T., Ehlis, A.-C. & Noppeney, U. The neural dynamics of hierarchical Bayesian causal inference in multisensory perception. Nature Communications, accepted (2019)
Funding DFG RO 5587/1-1
ERC ERC-multsens, 309349
Keywords Bayesian causal inference
Multisensory integration
EEG
Data This dataset can be browsed online here or downloaded as a zip archive (7.3 GB). The current version of the dataset repository, possibly with updates, can be found here.
DOI 10.12751/g-node.ec6518
Citation This dataset can be cited as:
Rohe T, Ehlis A, Noppeney U, (2019) The neural dynamics of hierarchical Bayesian causal inference in multisensory perception. G-Node. doi:10.12751/g-node.ec6518
Please also consider citing the material listed in the references
Resource Type Dataset