Reverse Dependencies of mne
The following projects have a declared dependency on mne:
- mne-lsl — Real-time framework integrated with MNE-Python for online neuroscience research through LSL-compatible devices.
- mne-microstates — Code for microstate analysis, in combination with MNE-Python.
- mne-nirs — An MNE compatible package for processing near-infrared spectroscopy data.
- mne-pipeline-hd — A Pipeline-GUI for MNE-Python from MEG-Lab Heidelberg
- mne-qt-browser — A new backend based on pyqtgraph for the 2D-Data-Browser in MNE-Python
- mne-realtime — A module for real-time data analysis with MNE.
- mne-rsa — Code for performing Representational Similarity Analysis on MNE-Python data structures.
- mne-vision — MNE Vision is a GUI for MNE
- mneflow — Neural networks for MEG and EEG data
- mnelab — A graphical user interface for MNE
- mneprep — Graphical user interface (GUI) for EEG/MEG preprocessing and visualisation with MNE, a Python-based toolbox for neuroimaging data analysis.
- mneUItest — A small example package
- mngs — For lazy python users (monogusa people in Japanse), especially in ML/DSP fields
- moabb — Mother of All BCI Benchmarks
- mtrf — Tools for modeling brain responses using (multivariate)temporal response functions.
- muselsl — Stream and visualize EEG data from the Muse headset.
- musestudio — Import Muse recordings. Convert data to MNE and Pandas. View brain data in real time.
- naplib — Tools and functions for neural data processing and analysis in python
- neurocode — 🧠EEG/MEG self-supervised learning toolbox.
- neurodatagen — Neuroscience data generation
- neurodecode — Real-time brain signal decoding framework
- neurokit — A Python Toolbox for Statistics and Signal Processing (EEG, EDA, ECG, EMG...).
- neurokit2 — The Python Toolbox for Neurophysiological Signal Processing.
- neurokit2cw — The Python Toolbox for Neurophysiological Signal Processing. Versão editada CardioWEB
- NeuroRA — A Python Toolbox for Multimodal Neural Data Representation Analysis
- neuxus — A flexible software to build real-time pipeline for EEG processing
- nibetaseries — BetaSeries Correlations implemented in Nipype
- niseq — Group sequential tests for neuroimaging
- obci-readmanager — OpenBCI 2 readmanager support module
- octopus-sensing — Library for recording data synchronously from different physiological sensors
- openbci-stream — High level Python module for EEG/EMG/ECG acquisition and distributed streaming for OpenBCI Cyton board.
- Orange3-MNE — Electrophysiological data processing widgets for Orange 3 based on the MNE for Python library.
- osl — OHBA Software Library
- osl-dynamics — Models for infering dynamics in neuroimaging data
- p3k — p3k - yet another P300 offline classification tool
- pactools — Estimation of phase-amplitude coupling (PAC) in neural time series, including with driven auto-regressive (DAR) models.
- panpipelines — MRI Processing Pipelines for PAN Healthy Minds for Life Study
- pd-parser — pd-parser: Take a potentially corrupted photodiode channel and find the event time samples at which it turned on.
- pecg — pecg: a python toolbox for ECG morphological analysis.
- psg-utils — A collection of Python utility classes and functions for loading and processing Polysomnography (PSG) sleep study data.
- pte-xdf — A package for loading XDF files recorded with TMSi amplifiers.
- py-neuromodulation — Real-time analysis of intracranial neurophysiology recordings.
- pyautomagic — A Python3 package for eeg (pre)processing from Automagic.
- PyBV — pybv -- A lightweight I/O utility for the BrainVision data format.
- pycrostates — A simple open source Python package for EEG microstate segmentation.
- pyerp — python library for Event-Related Potentials (ERPs) analysis
- pyhealth — A Python library for healthcare AI
- pylabianca — Package for analysis of single-neuron spike data.
- pylossless — Python port of EEG-IP-L pipeline for preprocessing EEG.
- pymento-meg — A Python package to analyze Memento MEG data
- pyPPG — pyPPG: a python toolbox for PPG morphological analysis.
- pyprep — A Python implementation of the preprocessing pipeline (PREP) for EEG data.
- pyriemann — Biosignals classification with Riemannian geometry
- pyriemann-qiskit — Qiskit wrapper for pyRiemann
- pyspi — Library for pairwise analysis of time series data.
- pystmm — Support Tensor Machine Multiclassifier
- resurfemg — A package for analysis of respiratory EMG data
- rpbtool — Tools that commonly used throught my career
- Rythmnet-estimation — no summary
- Rythmnet-estimation-2 — no summary
- Rythmnet-estimation-package — no summary
- Rythmnet-HR-estimation — no summary
- Rythmnet-package — Rythmnet_implementation
- Saffy — Signal Analysis Framework For You
- seapipe — A package pipeline for Sleep Events Analysis of EEG data.
- selfeeg — Self-Supervised Learning for EEG
- sesameeg — Sequential Monte Carlo algorithm for multi dipolar source modeling in MEEG.
- simeeg — Create artificial EEG data
- simuran — Simultaneous Multi-region Analysis supported with a network style
- sleep-utils — A collection of tools for sleep research
- sleepeeg — Sleep EEG preprocessing and analysis
- sleepeegpy — Sleep EEG preprocessing, analysis and visualization
- sleepless — This package contains benchmarks for sleep phase detection from polysomnographs
- sleepology — A python package to manage, process and sample huge polysomnogram (PSG) datasets. And it offers functions for machine learning (ML), real-time sampling and closed-loop stimulation in the future.
- sleepytimes — Tools for EEG, ECoG, iEEG, especially for sleep
- sneiaTools — A python package that will include all the tools that the SNEIA research team will develop and need to carry out their tasks.
- somata — State-space Oscillator Modeling And Time-series Analysis
- soundsig — Sound and Signal Analysis Tools for Bioacousticians and Auditory Neurophysiologists
- SSp-Detector — Sleep spindles detector
- stc2gii-hack — no summary
- timeflux — Acquisition and real-time processing of biosignals
- timeflux-dsp — Timeflux DSP plugin
- timeflux-rasr — Implementation of rASR filtering.
- toeplitzlda — Implementation of LDA using a block-Toeplitz structured covariance matrix for stationary spatiotemporal data.
- TruScanEEGpy — Utilities to work with Deymed's TruScan EEG system.
- tvb-widgets — GUI widgets for EBRAINS showcases
- utime — A deep learning framework for automatic PSG sleep analysis.
- visbrain — Hardware-accelerated visualization suite for brain-data in Python
- vissccnet — A CNN model training and weight visualization GUI
- WizardHat — Real-time processing and plotting of data streamed over LSL, with a focus on student-led BCI projects.
- wonambi — Tools for EEG, ECoG, iEEG, especially for sleep
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