Stefan Appelhoff
25471b7db1
run source2bids
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2 år sedan | |
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| README | 2 år sedan | |
README
See: https://gin.g-node.org/sappelhoff/mpib_ecomp_derivatives
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| Title | The mpib_ecomp_dataset (BIDS) |
| Authors |
Appelhoff,Stefan;Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany;ORCID:0000-0001-8002-0877
Hertwig,Ralph;Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany;ORCID:0000-0002-9908-9556 Spitzer,Bernhard;Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany;ORCID:0000-0001-9752-932X |
| Description | When judging the average value of sample stimuli (e.g., numbers) people tend to either over- or underweight extreme sample values, depending on task context. In a context of overweighting, recent work has shown that extreme sample values were overly represented also in neural signals, in terms of an anti-compressed geometry of number samples in multivariate electroencephalography (EEG) patterns. Here, we asked whether neural representational geometries may also reflect underweighting of extreme values (i.e., compression) which has been observed behaviorally in a great variety of tasks. |
| License | Open Data Commons Public Domain Dedication and License (PDDL) v1.0 (https://opendatacommons.org/licenses/pddl/1-0/) |
| References |
Appelhoff, S., Hertwig, R. & Spitzer, B. EEG-representational geometries and psychometric distortions in approximate numerical judgment. (2022) doi:10.1101/2022.03.31.486560 [doi:10.1101/2022.03.31.486560] (IsSupplementTo)
Appelhoff, Stefan. (2022). eComp Experiment Code (2022.1.0). Zenodo. https://doi.org/10.5281/zenodo.6411319 [doi:10.5281/zenodo.6411313] (IsDescribedBy) Appelhoff, Stefan. (2022). eComp Analysis Code (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.6411288 [doi:10.5281/zenodo.6411287] (IsReferencedBy) https://gin.g-node.org/sappelhoff/mpib_ecomp_sourcedata [] (IsReferencedBy) https://gin.g-node.org/sappelhoff/mpib_ecomp_derivatives [] (IsReferencedBy) |
| Funding |
Max Planck Institute for Human Development
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| Keywords |
cognitive neuroscience
decision-making numerical cognition sequential sampling value distortions compression anti-compression EEG electroencephalography eyetracking representational similarity analysis RSA multivariate pattern analysis MVPA computational modeling |
| Resource Type |
Dataset |