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A model of selection history in visual attention - CogSci 2021

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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.

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Endres, Dominik; Meibodi, Neda: A model of selection history in visual attention - CogSci 2021. . DOI: http://dx.doi.org/10.17192/fdr/64.2.

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VersionDateSummary
2024-06-24 14:19:43
This repository version contains the files and data necessary to recreate the results from the paper https://doi.org/10.1007/s42113-024-00197-6
2*
2021-05-10 19:44:55
incorrect file path in the model script
2021-05-07 18:07:25
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