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...

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Bibliographic Details
Main Authors: Susanne Stoll, Elisa Infanti, Benjamin de Haas, D. Samuel Schwarzkopf
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:NeuroImage
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922006723

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