Dataset and code to reproduce the main results of the paper Real-time reinforcement for human-machine interface control, Neuron (2026). by Pierre Vassiliadis, Daniel Leal Pinheiro, Lisa Fleury, Alexa
This dataset contains the data of 18 subjects participated in a P300-based BCI speller experiment with the row column paradigm. Each subject spelled 160 characters throughout 10 blocks. EEG data of ea
Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding vi
Data for Wang et al. "Inter-individual and inter-site neural code conversion without shared stimuli" (arxiv)Code: https://github.com/KamitaniLab/InterSiteNeuralCodeConversionVersion history:Version 1-
Context Presented P300 dataset is a data collected from six healthy subjects. The paradigm used to produce the dataset is the standard 6x6 Donchin and Farewell P300 Speller Matrix. For each participan