Connectivity algorithms that leverage the MNE-Python API.
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Updated
Sep 17, 2024 - Python
Connectivity algorithms that leverage the MNE-Python API.
Automatically process entire electrophysiological datasets using MNE-Python.
A framework for boosting the implementation of stimulus-response research code in the field of cognitive science and neuroscience
I have utilized MNE-Python Library to study eeg files. I have tried to implement my theoretical knowledge of signal processing. This was my first experience in the field of Brain Computer Interface. Biomedical Engineering fascinates me and I find these amazing. There is another open-source MATLAB Library called EEGLab, GUI based.
MEG sensor-space and source-space analysis using mne-python
Wrapper for MNE that makes fNIRS data analysis easier
Preprocessing and encoding analysis pipelines associated with published neuroscientific research paper.
Repository with neurophysiological and statistical pipelines for auditory cognitive neuroscience research article in preparation.
Automated rejection and repair of bad trials/sensors in M/EEG
Quick guide and tutorial to scientific data python programming
A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning models(reproduction and experiments).
Realtime data analysis with MNE-Python
Representational Similarity Analysis on MEG and EEG data
Extracting power bands (theta, delta, alpha, beta bands) from the EEG signal using MNE and YASA Python
NeuroIDBench: An Open-Source Benchmark Framework for the Standardization of Methodology in Brainwave-based Authentication Research
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