Pitfalls in post hoc analyses of population receptive field data
Data binning involves grouping observations into bins and calculating bin-wise summary statistics. It can cope with overplotting and noise, making it a versatile tool for comparing many observations. However, data binning goes awry if the same observations are used for binning (selection) and contra...
Main Authors: | Susanne Stoll, Elisa Infanti, Benjamin de Haas, D. Samuel Schwarzkopf |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-11-01
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Series: | NeuroImage |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811922006723 |
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