A model of selection history in visual attention - CogSci 2021
Abstract
Content
This repository contains the files and data necessary to recreate the results from the paper
N.Meibodi, H.Abbasi, A. Schuboe, D. Endres (2021) A Model of Selection History in Visual Attention, Proceedings of the 2021 Conference of the Society of Cognitive Science, Vienna, Austria.
File list
attention_models_cogsci.py: run this file in python 3.8 to recreate results:
• maps_weights.pdf: bar plots to compare the maps’ weights between groups (color and shape). Fig5 in the paper.
• evidence_par.pdf: model evidences on bar plots to compare three models. Fig4 in the paper.
• model_evidence_par.xlsx: model evidences are saved in this file, when models are fitted across participants.
• model_evidence_group.xlsx: model evidences are saved in this file, when models are fitted across groups.
• CG.pdf and SG.pdf: Ex-Gaussian distributions of reaction times, fitted on the data and also model predicted distributions, for color group and shape group participants. Fig6 in the paper. torch_hessian.py: computation of Hessian matrix, needs to be in the same directory as 'attention_models_cogsci.py'
Data_CogSci2021.xlsx: Data from which models are learned
'Description of the uploaded dataset - CogSci 2021.docx': Description of data format and content.
paper_cogsci.pdf: preprint of the proceedings paper.
Acknowledgements
This work was supported by the SFB-TRR 135 'Cardinal Mechanisms of Perception', projects C6 and B3, and 'The Adaptive Mind', funded by the Excellence Program of the Hessian Ministry for Science and the Arts.
Metadata
Date | 2021-05-07 |
Authors | Endres,
Dominik, Prof. Dr.
|
Contributors | Researcher:
Meibodi,
Neda, MSc |
DOI | http://dx.doi.org/10.17192/fdr/64.2
|
License | Creative Commons Attribution 4.0 |
Faculty | FB04:Department of Psychology |
Dates | Issued:
07.05.2021 |
Language | English |
Data types | Software |
Keywords | Psychology Cognitive Science |
DFG-Subjects | 110-01 Allgemeine, Kognitive und Mathematische Psychologie |
DDC-Numbers | 150 |
Version | 1 |
Funding | DFG HMWK |
URI | https://data.uni-marburg.de/handle/dataumr/130.2
|
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Files
Name | Format | Size | Checksum (MD5) |
---|---|---|---|
attention_cogsci-CogSci2021v2.tar | .tar | 1.806Mb | ee12b3725ce3bed02bbdb293ea0bcb48 |
license_CC-BY-4.0.txt | .txt | 18.21Kb | 380b31767eeb6303e3bc300d8846f180 |
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0