Avir-AI/EEG_Applications_Hub
This curated list highlights the latest breakthroughs in EEG and AI integration, providing a user-friendly guide for researchers, students, and hobbyists to explore advancements and applications in this exciting field.
This hub helps researchers, students, and hobbyists understand how Electroencephalography (EEG) data can be analyzed using Artificial Intelligence (AI). It organizes and summarizes recent findings and methods for applying AI to brainwave data, providing practitioners with a quick overview of what goes into and comes out of these analyses, particularly for neurological and mental health conditions. Researchers and students in neuroscience, psychology, and biomedical engineering will find this valuable.
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Use this if you need a curated, easy-to-navigate list of resources and breakthroughs in using AI to interpret EEG signals for specific applications.
Not ideal if you are looking for code implementations, raw datasets, or a tutorial on building EEG-AI models from scratch.
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Dec 26, 2024
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