gretatuckute/auditory_brain_dnn
Comparison of auditory DNNs and human brain acitivity.
This project helps auditory neuroscientists and cognitive scientists compare how different deep neural network (DNN) audio models represent sound against actual human brain activity. It takes in DNN activations from various audio models and human brain imaging data (fMRI, component data) to output metrics and visualizations showing how well DNN stages predict brain regions. Researchers can use this to understand which computational models best mimic the human auditory system.
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Use this if you are an auditory neuroscientist or cognitive scientist investigating the relationship between artificial neural networks and human brain responses to auditory stimuli.
Not ideal if you are a developer looking for a general-purpose library to train or deploy deep learning audio models.
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18
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3
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Jupyter Notebook
License
MIT
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Last pushed
Apr 22, 2025
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