A framework for boosting the implementation of stimulus-response research code in the field of cognitive science and neuroscience
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Updated
Jul 6, 2024 - Python
A framework for boosting the implementation of stimulus-response research code in the field of cognitive science and neuroscience
Quick guide and tutorial to scientific data python programming
Connectivity algorithms that leverage the MNE-Python API.
Automatically process entire electrophysiological datasets using MNE-Python.
MEG sensor-space and source-space analysis using mne-python
Extracting power bands (theta, delta, alpha, beta bands) from the EEG signal using MNE and YASA Python
Preprocessing and encoding analysis pipelines associated with published neuroscientific research paper.
NeuroIDBench: An Open-Source Benchmark Framework for the Standardization of Methodology in Brainwave-based Authentication Research
Representational Similarity Analysis on MEG and EEG data
Automated rejection and repair of bad trials/sensors in M/EEG
Wrapper for MNE that makes fNIRS data analysis easier
EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code
Realtime data analysis with MNE-Python
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).
EEG Motor Imagery Classification Using CNN, Transformer, and MLP
Template for new EEG studies in NCIL, using BIDS-compliant structure and scripts to import data.
Materials and source code for my MSc thesis: "Studying Network Variants With Electroencephalography"
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