1 code implementation • 8 Sep 2023 • Matteo Ferrante, Tommaso Boccato, Stefano Bargione, Nicola Toschi
Additionally, we incorporated an image reconstruction mechanism based on pre-trained latent diffusion models, which allowed us to generate an estimate of the images which had elicited EEG activity.
no code implementations • 4 Aug 2022 • Andrea Duggento, Mario De Lorenzo, Stefano Bargione, Allegra Conti, Vincenzo Catrambone, Gaetano Valenza, Nicola Toschi
In this paper, we present a deep neural network architecture specifically engineered to a) provide state-of-the-art performance in multiclass motor imagery classification and b) remain robust to preprocessing to enable real-time processing of raw data as it streams from EEG and BCI equipment.