no code implementations • 13 May 2024 • Antoine Bellemare-Pepin, François Lespinasse, Philipp Thölke, Yann Harel, Kory Mathewson, Jay A. Olson, Yoshua Bengio, Karim Jerbi
The recent surge in the capabilities of Large Language Models (LLMs) has led to claims that they are approaching a level of creativity akin to human capabilities.
1 code implementation • 7 Nov 2023 • Wenhui Cui, Woojae Jeong, Philipp Thölke, Takfarinas Medani, Karim Jerbi, Anand A. Joshi, Richard M. Leahy
To handle the scarcity and heterogeneity of electroencephalography (EEG) data for Brain-Computer Interface (BCI) tasks, and to harness the power of large publicly available data sets, we propose Neuro-GPT, a foundation model consisting of an EEG encoder and a GPT model.
no code implementations • 26 Jul 2022 • Julia Berezutskaya, Anne-Lise Saive, Karim Jerbi, Marcel van Gerven
Applying advanced AI models to these data carries the potential to further our understanding of many fundamental questions in neuroscience.
1 code implementation • Frontiers in Neuroinformatics 2017 • Tarek Lajnef, Christian O'Reilly, Etienne Combrisson, Sahbi Ch1aibi, Jb Eichenlaub, Perrine Ruby, Pierre-Emanuel Aguera, Mounir Samet, Abdennaceur Kachouri, Sonia Frenette, Julie Carrier, Karim Jerbi
Although tedious and time-consuming, their identification and quantification is important for sleep studies in both healthy subjects and patients with sleep disorders.
Ranked #4 on K-complex detection on MASS SS2