atonkamanda/awesome-ai-brain-computer-interface
Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.
This curated list compiles must-read research papers on applying Artificial Intelligence (AI) to Brain-Computer Interfaces (BCIs). It helps researchers and practitioners in neurotechnology quickly find relevant literature on how AI can enhance BCIs for tasks like restoring sight or treating epilepsy. You get organized lists of academic papers, categorized by topics relevant to BCI development and application.
108 stars. No commits in the last 6 months.
Use this if you are a neuroscientist, biomedical engineer, or AI researcher looking for a comprehensive overview of cutting-edge AI techniques applied to brain-computer interfaces.
Not ideal if you are looking for code implementations, datasets, or practical tools for building BCI systems rather than academic papers.
Stars
108
Forks
4
Language
—
License
—
Category
Last pushed
Nov 02, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/atonkamanda/awesome-ai-brain-computer-interface"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mne-tools/mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
braindecode/braindecode
Deep learning software to decode EEG, ECG or MEG signals
NeuroTechX/moabb
Mother of All BCI Benchmarks
neuromodulation/py_neuromodulation
Real-time analysis of intracranial neurophysiology recordings.
IoBT-VISTEC/MIN2Net
End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE...