Recommended citation for the data: Nie, Shaozhi; Katyal, Sucharit; Engel, Stephen A.. (2023). An Accumulating Neural Signal Underlying Binocular Rivalry Dynamics. Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/9sy5-a716. ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset An Accumulating Neural Signal Underlying Binocular Rivalry Dynamics 2. Author Information Principal Investigator Contact Information Name: Stephen A. Engel Institution: University of Minnesota Address: Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA Email: engel@umn.edu ORCID: 0000-0002-5241-6433 Associate or Co-investigator Contact Information Name: Sucharit Katyal Institution: University of Minnesota Address: Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, WC1B5EH, UK Email: sucharit.katyal@gmail.com ORCID: 0000-0002-0390-9311 Associate or Co-investigator Contact Information Name: Shaozhi Nie Institution: University of Minnesota Address: Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA Email: nie00043@umn.edu ORCID: 0009-0005-7328-7107 3. Date published or finalized for release: 09/10/2023 4. Date of data collection (single date, range, approximate date) 10/16/2015 - 05/12/2016 5. Geographic location of data collection (where was data collected?): University of Minnesota 6. Information about funding sources that supported the collection of the data: Data collection was supported by National Institutes of Health (grant number: R01 EY02301) 7. Overview of the data (abstract): The dataset comprises 85 (84 valid EEG records) participants from a study on binocular rivalry. EEG signals were recorded from 34 channels in the 10/20 system, and preprocessed with standard methods. Twelve 120-s runs of a binocular rivalry task were acquired for each participant, during which they were presented with orthogonal (± 45°) gray scale gratings, one to each eye, as illustrated in the upper left box in Figure 1A. One grating flickered at 14.4 Hz and the other at 18.0 Hz in each run, counterbalanced between eyes across runs. Participants were instructed to press one of three buttons, indicating a dominant percept of “tilt left”, “tilt right”, or a mixed percept, whenever their perception changed. They were asked to report dominance once one grating filled >90% of the stimulus field and mixed otherwise. -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: Attribution-NonCommercial 3.0 United States http://creativecommons.org/licenses/by-nc/3.0/us/ 2. Links to publications that cite or use the data: Katyal, S., He, S., He, B., & Engel, S. A. (2019). Frequency of alpha oscillation predicts individual differences in perceptual stability during binocular rivalry. Human brain mapping, 40(8), 2422-2433. https://doi.org/10.1002/hbm.24533 Nie, S., Katyal, S., & Engel, S. A. (2023). An Accumulating Neural Signal Underlying Binocular Rivalry Dynamics. Journal of Neuroscience, 43(50), 8777-8784. https://doi.org/10.1523/JNEUROSCI.1325-23.2023 3. Was data derived from another source? No. If yes, list source(s): 4. Terms of Use: Data Repository for the U of Minnesota (DRUM) By using these files, users agree to the Terms of Use. https://conservancy.umn.edu/pages/drum/policies/#terms-of-use --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: eegdata.zip, eegdata.z01, eegdata.z02 Short description: Put them in the same folder and open eegdata.zip Each subfolder is the behavior and eeg data for a participant, including behavior data in "Behavior", and preprocessed EEG data in "Epochs". Some folders are missing for some participants B. Filename: paper_figures.zip Short description: code for plotting figures for "An Accumulating Neural Signal Underlying Binocular Rivalry Dynamics" 2. Relationship between files: eegdata.zip, eegdata.z01, and eegdata.z02 are compressed data files, containing all behavioral and EEG records for the analysis. paper_figures.zip is the compressed code for ploting all figures in the article, including statistical tests. Please decompressed the data and analyzing code separately in different folders, and put both folders in the same directory. For details, see figures_for_paper.mlx -------------------------- METHODOLOGICAL INFORMATION -------------------------- See Katyal et al., 2019. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: EEG Data file ----------------------------------------- EEG Data file are saved in 3 parts in zip format. After decompressing, the eegdata folder should contain 85 participant folders. For each participant, the Behavior subfolder is the behavior data and the Epochs subfolder is the EEG record. Describe the behavioral/ epoch files. 1. Number of variables: Numbers of variables are hard to summarize because of the design of the experiment. 2. Number of cases/rows: All data are saved in .mat format. For the binocular rivalry task, for each participant, behavioral data are saved in 1x12 struct arrays, each struct contains a session of participant's report and metadata. EEG data are saved in two separate files, each of which contains a 1x6 cell array, each cell records a session of EEG 34 (channels) x around 43200 (120 sec with sampling rate of 360 Hz) signals. For the structure from motion task, please see the file. 3. Missing data codes: Participant 121815_3628, the last participant, has no EEG data available yet. Analyzing code ignored this participant in the following calculation. 4. Variable List A. Name: results in BR_Rivalry_****_******.mat Description: 1x12 struct of behavioral data B. Name: epochs in csd_rejevs_icacomprem_gaprem_filt_rivindiff_riv_12.mat & csd_rejevs_icacomprem_gaprem_filt_rivindiff_riv_13.mat Description: 1x6 cells of eeg data ...12.mat and ...13.mat are two balance conditions, see Katyal et al., 2019. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: paper_figures.zip ----------------------------------------- Plot all figures with figures_for_paper.mlx. Detailed description for the code files are also in figures_for_paper.mlx.