“…Neural network classifiers have been previously used to classify fMRI data either with hidden layers (Bertolino et al, 2014;Floren et al, 2015;Misaki et al, 2006) or without (Polyn et al, 2005;Saarimäki et al, 2016). The majority of MVPA studies use support vector classifiers (SVC) (Cox & Savoy, 2003;De Martino et al, 2008, Ethofer et al, 2009Habes et al, 2013;LaConte et al, 2005;Kamitani & Tong, 2005;Lahnakoski et al, 2014;Lie et al, 2013;Meier et al, 2012;Mourão-Miranda et al, 2005;Mourão-Miranda et al, 2007;Rasmussen et al, 2011; see also Sundermann et al, 2014, for an extended list) due to fast training and good performance in ill-posed problems such as in fMRI classification (Etzel et al, 2013).…”