We use cookies to ensure you get the best experience on our website
صفحهٔ اصلی گشت‌و‌گذار راهنما News
ثبت نام ورود
doi
/
predictive_coding_in_asd
برگرفته از msense/predictive_coding_in_asd
DOI
10.12751/g-node.gjx4n7
1
0
انشعاب 0
پرونده‌ها

Predictive coding in ASD: reduced adaptability of priors to environmental changes

شاخه: master
شاخه‌ها تگ‌ها
predictive_c...
strongway e2028dbc51 correct typo 10 ماه پیش
data e1b29d7735 add two-state model 11 ماه پیش
experiments fe7611c3a6 gin commit from MBP-S.local 2 سال پیش
figures bd34dbc976 update citation 10 ماه پیش
LICENSE 3b9d80356b Initial commit 2 سال پیش
README.md e2028dbc51 correct typo 10 ماه پیش
analysis-notebook.ipynb 3e1ed8d652 update readme, and add vector figures (pdfs) 10 ماه پیش
datacite.yml bd34dbc976 update citation 10 ماه پیش
kmodelY.py e1b29d7735 add two-state model 11 ماه پیش
volatility-reproduction.Rproj fe7611c3a6 gin commit from MBP-S.local 2 سال پیش

README.md

Duration reproduction data under varying volatility for individuals with ASD and TD

authors: Z. Shi, F. Allenmark, L. Theisinger, R. Pistorius, S. Glasauer, H. Müller, C. Falter-Wagner

Folder Structure

  1. /experiments: Experimental codes and instructions This sub-folder contains Matlab codes and instructions for the duration reproduction task. The sequences of the duration reproductions are stored in the sub-folder /experiments/seqs. Those sequences were used for matched participants.
  2. /data: raw data files
    • rawdata.csv: Raw reproduction trials
    • parinfo.csv: Participant information, including AQ, EQ, SQ, IQ etc.
  3. /figures: figures generated by the code.
  4. analysis-notebook.ipynb: the main analysis code and report
  5. kmodelY.py: the two-state iterative model used in the analysis
datacite.yml
Title Duration Reproduction Dataset under varying volatility for individuals with ASD and TD
Authors Shi,Zhuanghua;Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany;ORCID:0000-0003-2388-6695
Allenmark,Fredrik;Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany;ORCID:0000-0002-3127-4851
Theisinger,Laura A.;Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Munich, Germany
Pistorius,Rasmus L.;Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Munich, Germany
Glasauer,Stefan;Computational Neuroscience, Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany
Müller,Hermann J.;Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany
Falter-Wagner,Christine M.;Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Munich, Germany
Description Data and codes for the study: Beyond Prior Belief and Volatility - The Distinct Iterative Prior Updating Process in ASD.
License Creative Commons CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/)
References Shi, Z., Allenmark, F., Theisinger, L., Pistorius, R., Glasauer, S., Mueller, H. J., & Falter-Wagner, C. (2024). Beyond Prior Belief and Volatility: The Distinct Iterative Prior Updating Process in ASD. In bioRxiv (p. 2022.01.21.477218). https://doi.org/10.1101/2022.01.21.477218 [doi:10.1101/2022.01.21.477218] (IsSupplementTo)
Funding DFG, SH166/3-2
BGF, DFG, FA876/3-1, FA876/5-1
Keywords autism
predictive processing
prior belief
volatility
duration reproduction
iterative updating
Resource Type Dataset