Beauchamp:DataSharing: Difference between revisions
mNo edit summary |
mNo edit summary |
||
(One intermediate revision by the same user not shown) | |||
Line 33: | Line 33: | ||
=== Causal Inference of the McGurk Effect === | === Causal Inference of the McGurk Effect === | ||
Please see the full data sharing and model page at [[Beauchamp:CIMS_McGurk | Causal Inference of McGurk Page]] | Please see the full data sharing and model page at [[Beauchamp:CIMS_McGurk | Causal Inference of McGurk Page]] | ||
=== Materials for IMRF 2017 workshop === | |||
# Material for [[Media:part2_mturk.zip|Part 2 MTurk]] | |||
# Material for [[Media:part3_modeling.zip|Part 3 Modeling]] |
Revision as of 06:42, 19 May 2017
Stimuli
Greater BOLD Variability in Older Compared with Younger Adults during Audiovisual Speech PerceptionThe data for Baum, SH, and Beauchamp, MS. "Greater BOLD Variability in Older Compared with Younger Adults during Audiovisual Speech Perception" (PLOS ONE, in press) can be found here: https://dl.dropboxusercontent.com/u/70081110/BOLDVariabilityData.zip or here http://figshare.com/articles/Greater_BOLD_Variability_in_Older_Compared_with_Younger_Adults_during_Audiovisual_Speech_Perception/1181943 The dataset is organized according to the OpenfMRI organization scheme. Each subject's folder contains the anonymized hi res anatomical images (under the anatomy folder), and the raw .nii files for the localizer scan (BOLD/task001_run001) and task scans (BOLD/task002_run001 and run002). Regressor files in the 3 column FSL format are included for each participant (see paper for details on small differences between scan series in some participants). Information on the demographics of the participants is also included. If you have any questions, please contact Sarah Baum (sarah.h.baum@vanderbilt.edu). Causal inference of asynchronous audiovisual speechData from Magnotti, Ma, & Beauchamp (2013) may be downloaded here The data are stored as a vector of counts for each subject. Each row is one subject. The trial types are described in the first row. There are 15 levels of asynchrony, 2 levels of visual reliability, and 2 visual intelligibility levels (60 columns in total). Experiment 1 had 12 trials per trial type (3 blocks with 4 trials each) and Experiment 2 had 4 trials (1 block). For model fitting of these data, please see the CIMS Model Page Modeling McGurk perception across multiple McGurk stimuliPlease see the full model building page at NED Model Page Causal Inference of the McGurk EffectPlease see the full data sharing and model page at Causal Inference of McGurk Page Materials for IMRF 2017 workshop
|