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new paper: how subclasses affect classification
Our new paper “Multivariate classification of neuroimaging data with nested subclasses: Biased accuracy and implications for hypothesis testing” was just published in PLOS Computational Biology.
In this paper, we show how subclasses can bias classification results and inflate correct classification rates of linear classifiers. We show, when this bias is strongest and how to use permutation tests to correct this bias. -
meet us and discuss our new MEG sleep results at ESRS in Basel
Steffen and Lea will be attending ESRS in Basel from the 25th to the 28th of September.
Lea will be presenting a poster on her newest MEG results on October, 26th from 11:00 to 13:00 (P033).
Come find us and discuss slow oscillations, sleep spindles and why recording sleep in the MEG is fascinating.