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Found 3 papers, 2 papers with code
Neuro-GPT: Towards A Foundation Model for EEG
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.
How does artificial intelligence contribute to iEEG research?
Applying advanced AI models to these data carries the potential to further our understanding of many fundamental questions in neuroscience.
Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS).
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
