FIGURE 2.

Comparison across a family of models. Several features of interest are derived from our speech signal. Each of these features (or combinations of them) can be regressed against brain activity to estimate single- or combined-feature encoding models (TRFs). The TRFs can be used to predict held-out EEG data, channel-by-channel, and the accuracy of those predictions can be measured to assess the quality of the model. Here, we compare model performance across a set of six bilateral auditory-responsive electrodes (Di Liberto et al., 2015).