Dataset
The mpib_ecomp_sourcedata dataset
- Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany
DOI: 10.12751/g-node.lir3qw BROWSE REPOSITORY BROWSE ARCHIVE DOWNLOAD ARCHIVE (ZIP 24 GiB)
Published 18 Nov. 2022 | License Open Data Commons Public Domain Dedication and License (PDDL) v1.0
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.
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 |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 https://doi.org/10.1101/2022.03.31.486560
- Appelhoff, Stefan. (2022). eComp Experiment Code (2022.1.0). Zenodo. https://doi.org/10.5281/zenodo.6411319 https://doi.org/10.5281/zenodo.6411313
- Appelhoff, Stefan. (2022). eComp Analysis Code (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.6411288 https://doi.org/10.5281/zenodo.6411287
- Appelhoff S, Hertwig R, Spitzer B (2022) The mpib_ecomp_dataset (BIDS). G-Node. https://doi.org/10.12751/g-node.jtfg5d
- Appelhoff S, Hertwig R, Spitzer B (2022) The mpib_ecomp_derivatives dataset. G-Node. https://doi.org/10.12751/g-node.9rtg6f
Funding
- Max Planck Institute for Human Development