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A model of selection history in visual attention - CogSci 2021
| dc.contributor | {"last":"Meibodi","first":"Neda, MSc","role":"Researcher","affiliation":"FB Psychologie, Theoretische Kognitionswissenschaft"} | |
| dc.contributor.author | {"last":"Endres","first":"Dominik, Prof. Dr.","affiliation":"FB Psychologie, Theoretische Kognitionswissenschaft","id":"orcid","id_value":"0000-0001-9756-9655"} | |
| dc.date.Issued | 07.05.2021 | |
| dc.date.accessioned | 2021-05-07T16:07:25Z | |
| dc.date.available | 2021-05-07T16:07:25Z | |
| dc.description | 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. | de_DE |
| dc.description.sponsorship | {"funderName":"DFG"} | |
| dc.description.sponsorship | {"funderName":"HMWK"} | |
| dc.description.version | 1 | de_DE |
| dc.identifier.doi | http://dx.doi.org/10.17192/fdr/64 | |
| dc.identifier.uri | https://data.uni-marburg.de/handle/dataumr/130 | |
| dc.language.iso | eng | de_DE |
| dc.rights | Creative Commons Attribution 4.0 | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Psychology | de_DE |
| dc.subject | Cognitive Science | de_DE |
| dc.subject.classification | 110-01 Allgemeine, Kognitive und Mathematische Psychologie | de_DE |
| dc.subject.ddc | 150 | |
| dc.title | A model of selection history in visual attention - CogSci 2021 | de_DE |
| dc.type | Software | de_DE |
| local.metadata.public | yes | |
| local.umr.fachbereich | FB04:Psychologie | de_DE |
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