Figure 1. CNN architecture (windows of T samples).

Input: T time samples of a 64-channel EEG signal, at a sampling rate of 128 Hz. Output: two scalars that determine the attended direction (left/right). The convolution, shown in blue, considers 130 ms of data over all channels. EEG = electroencephalography, CNN = convolutional neural network, ReLu = rectifying linear unit, FC = fully connected.