“…Many methods exist for recovering the M/EEG from artefacts of tACS (Herrmann and Strüber, 2017; Kasten and Herrmann, 2019), with varying degrees of complexity and success. These methods include spatial filtering (beamforming, Neuling et al, 2015; Noury et al, 2016; Witkowski et al, 2016; ‘SASS,’ Haslacher et al, 2021), temporal filtering (notch, Voss et al, 2014; Hampel, Santos Monteiro et al, 2015), variations of template subtraction (Voss et al, 2014; Kohli and Casson, 2015, 2019; Noury et al, 2016; Dowsett and Taylor, 2017; Guggenberger and Gharabaghi, 2018), principal component analysis (PCA, Kohli and Casson, 2015; Santos Monteiro et al, 2015), and a combination of the latter two (Helfrich et al, 2014; Noury et al, 2016). Universally, these approaches assume linear stimulation artefacts— either time-invariance (i.e., an artefact is a scaled version of itself from cycle to cycle) or sensor-invariance (i.e., artefacts are scaled versions of one another from sensor to sensor).…”