FIGURE 7.

The median absolute error is shown for each brain region, each dataset, and each decoding method. Datasets for each brain region are sorted from lowest to highest median absolute error (i.e., from best to worst decoding accuracy). Note that median absolute error varies considerably within regions and on average increases from ATN to parahippocampal and PC regions. KF, Kalman Filter; GLM, Generalized Linear Model; VR, Vector Reconstruction; OLE, Optimal Linear Estimator; WF, Wiener Filter; WC, Wiener Cascade; SVR, Support Vector Regression; XGB, XGBoost; FFNN, Feedforward Neural Network; RNN, Recurrent Neural Network; GRU, Gated Recurrent Unit; LSTM, Long Short-Term Memory.