Improve upon a model using transformer learning

I am taking an MI-EEG model from a research paper which work on BCIC-IV 2a database. In that model like a EEGNet, it has filter bank and 2D convolution of (C,1), C=channel size. Then it divides the time into separate windows of length 250 and perform logarithm of variance in those window and finally it performs 1 D convolution upon that, finally it goes to ANN. I am trying to improve the model by using transformer learning model. Can you …

bank convolution database deeplearning eeg filter logarithm paper research research paper transformer variance windows work