Master's thesis benchmarks deep learning for EEG motor imagery on consumer EEG cap, seeks publication advice

A master's student benchmarked three deep learning architectures, including a novel compact one, for EEG motor imagery classification using OpenBCI's Galea consumer EEG cap. With only three participants and limited recordings, the author considers the results unreliable and asks for advice on publication avenues.