duanyiqun/Brain-Diffusion
Exploration of diffuison-based generative model to sychronizing brain dynamics from semantic language input.
This project explores generating brain activity (EEG signals) from written text or enhancing existing brainwave data. It takes in text or raw EEG signals and outputs synthesized or denoised brainwave data, helping neuroscientists or researchers study the relationship between language and brain dynamics. The project uses advanced diffusion models to simulate brain dynamics and offers various analytical views like spectrograms or raw waves.
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Use this if you are a neuroscientist or researcher interested in generating synthetic brainwave data from text or denoising existing EEG signals for exploratory research.
Not ideal if you need a fully validated, quantitatively evaluated tool for clinical or real-world neuroscience applications, as this is currently an open-demo for discussion.
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41
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8
Language
Python
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Last pushed
Sep 21, 2023
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