For dropout training, we modified our code so that one "epoch" consisted of five sweeps through the data instead of just one.
Each single epoch consisted of a 500 ms pre-stimulus and a 2 s post-stimulus period.
For example, a trial with the minimum RT of 700 ms would lead to an epoch consisting of 700 ms (time until response) and 1500-ms feedback of the chosen reward.
One epoch consisted of a single presentation of each set of inputs followed by automatic adjustments of the weight connections to minimize the total error for all data that were used in the training.
For conditions 1 and 2, one 9 s long epoch consisted of 1 s of the baseline period, 3 s before FES activation, and 5 s after FES activation (this includes 4 s during FES and 1 s after FES).
Basic measurements of response parameters are reported in Table 1.> -wrap-foot> Each trial, also called an epoch, consisted of a pre-period, a 10-ms stimulus, and a response period, followed by a 91-ms pause while data were written to memory.
Shaking epochs consisted of six 5 s periods without vibration followed by six 5 s vibration periods.
The stimuli were presented in epochs consisting of 2 trials, followed by 2 baseline trials where the stimulus was replaced by 4 s of silence.
Sliding epochs, consisting of suitable numbers of points for carrying out a fast Fourier transform, were cut from the EEG at 5 ms intervals and multiplied by a Hanning widow in MATLAB.
