An EEG dataset from the NeuroTechs group, collected in the context of STEM (science, technology, engineering and mathematics) skills. Recordings were acquired with a Unicorn wearable EEG system through its Python API, and values are provided in microvolts. The dataset is organized according to BIDS with HED annotations.
…e.g., an electroencephalogram, using machine learning is key to brain-computer…
…to design cross-user BCI machine learning algorithms or (4) incorporating users…
Magnetoencephalography (MEG) recordings from participants performing auditory single word recognition. The dataset accompanies a study of auditory word comprehension in isolated words and is organized in BIDS format. Stimuli and TextGrids come from the Massive Auditory Lexical Decision database.
…Application of Machine Learning to Epileptic Seizure Onset Detection and Treatment. PhD…
…Machine Learning Laboratory - **Country**: Germany - **Repository**: GitHub - **Data URL**: https://github.com…
[, Center for Neuroprosthetics, Ecole Polytechnique…
…the paper "Model-based aversive learning in humans is supported by preferential…
…multimodal recordings from a brain–machine interface (BMI) training study involving seven…