Preprocessing and encoding analysis pipelines associated with published neuroscientific research paper.
-
Updated
May 24, 2024 - Python
Preprocessing and encoding analysis pipelines associated with published neuroscientific research paper.
Connectivity algorithms that leverage the MNE-Python API.
NeuroIDBench: An Open-Source Benchmark Framework for the Standardization of Methodology in Brainwave-based Authentication Research
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
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
Automated rejection and repair of bad trials/sensors in M/EEG
MEG sensor-space and source-space analysis using mne-python
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"
Various helper functions for processing MRI for MEG analysis
Add a description, image, and links to the mne-python topic page so that developers can more easily learn about it.
To associate your repository with the mne-python topic, visit your repo's landing page and select "manage topics."