Reproducibility of importance extraction methods in neural network based fMRI classification
Athanasios Gotsopoulos, Heini Saarimäki, Enrico Glerean, Iiro P. Jääskeläinen, Mikko E. Sams, Lauri Nummenmaa, Jouko Lampinen
The paper evaluates importance extraction methods in neural network-based fMRI classification, finding that importance maps outperform univariate approaches in detecting overlapping and weakly informative patterns.
NeuroImage · Jun 30, 2018Peer-reviewedNeuroscience