Abstract
A large number of papers in Computational Cognitive Neuroscience are developing and testing novel analysis methods using one specific neuroimaging dataset and problematic experimental stimuli. Publication bias and confirmatory exploration will result in overfitting to the limited available data. We highlight the problems with this specific dataset and argue for the need to collect more good quality open neuroimaging data using a variety of experimental stimuli, in order to test the generalisability of current published results, and allow for more robust results in future work.
| Original language | English |
|---|---|
| Article number | 682661 |
| Number of pages | 4 |
| Journal | Frontiers in Human Neuroscience |
| Volume | 15 |
| DOIs | |
| Publication status | Published - 8 Jul 2021 |
Bibliographical note
Publisher Copyright:© Copyright © 2021 Grootswagers and Robinson.
Open Access - Access Right Statement
© 2021 Grootswagers and Robinson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.Fingerprint
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