https://github.com/alexander-pastukhov/gestalt-of-ambiguous-walker

A data set and the analysis code for the "First, you need a Gestalt: an interaction of bottom-up and top-down streams during perception of an ambiguously rotating human walker" manuscript.

https://github.com/alexander-pastukhov/gestalt-of-ambiguous-walker

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.2%) to scientific vocabulary

Keywords

open-science perception psychophysics
Last synced: 6 months ago · JSON representation

Repository

A data set and the analysis code for the "First, you need a Gestalt: an interaction of bottom-up and top-down streams during perception of an ambiguously rotating human walker" manuscript.

Basic Info
  • Host: GitHub
  • Owner: alexander-pastukhov
  • License: cc-by-4.0
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 1.64 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
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Topics
open-science perception psychophysics
Created over 8 years ago · Last pushed almost 8 years ago
Metadata Files
Readme License

README.md

First, you need a Gestalt: an interaction of bottom-up and top-down streams during perception of an ambiguously rotating human walker

An accompanying data set and the analysis code for manuscript.

Manuscipt

Pastukhov, A. (2017). First, you need a Gestalt: An interaction of bottom-up and top-down streams during the perception of the ambiguously rotating human walker. Scientific Reports, 7(1), 1158. doi: 10.1038/s41598-017-01376-1

Analysis

The complete analysis, including all figures and statistical comparisons, can be found in Jupyter notebooks Complete analysis.ipynb and Within group analysis using linear mixed models.ipynb.

Data folders

  • Main experiment: Naïve and Informed folders.
  • Learning experiment: Learning folder.

CSV-file format

  • Index
  • Observer: observer ID, apart from learning experiment, matches the file name
  • SessionID: timestamp for the session start
  • Condition: condition label (scrambled static, inverted walker, upright walker, scrambled walker).
  • Block: block index, block 0 was a training block and was excluded from the analysis
  • Block duration: block duration in seconds
  • Percept:
    • -1 illusory rotation, with front surface moving to the left
    • 1 illusory rotation, with front surface moving to the right
  • Onset: percept onset time relative to the block start, in seconds
  • Duration: percept duration, in seconds.

License

All data (and associated content) is licensed under the CC-By Attribution 4.0 International License. All code is licensed under the MIT License.

Owner

  • Name: Alexander (Sasha) Pastukhov
  • Login: alexander-pastukhov
  • Kind: user
  • Location: Bamberg, Germany
  • Company: Otto-Friedrich-Universität Bamberg

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