kovalalvi/beira

BEIRA: BOLD from EEG Interpretable Regression Autoencoder. Prediction subcortical BOLD activity from EEG data

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Experimental

This project helps neuroscientists and brain-computer interface researchers understand what's happening in deeper brain regions using only EEG data. It takes multichannel EEG recordings as input and produces estimated Blood Oxygenation Level Dependent (BOLD) signals for subcortical areas. This allows researchers to study complex cognitive processes or neurological diseases without needing expensive and immobile fMRI equipment.

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Use this if you need to predict subcortical brain activity from EEG data for research into cognitive phenomena, neurological diagnostics, or developing brain-computer interfaces.

Not ideal if you need to analyze surface-level brain activity or if you have fMRI data readily available.

neuroscience research brain imaging EEG analysis fMRI prediction brain-computer interfaces

No License Stale 6m No Package No Dependents

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