real-time neuro-/biosignal processing and streaming pipeline
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Updated
Nov 23, 2024 - Python
Electroencephalography (EEG) is a non-invasive method for recording electrical activity in the brain, first performed on humans by Hans Berger in 1924 (Berger, 1929).
real-time neuro-/biosignal processing and streaming pipeline
A lightweight I/O utility for the BrainVision data format, written in Python.
Compute and plot standard EEG electrode positions.
PyPREP: A Python implementation of the Preprocessing Pipeline (PREP) for EEG data
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
Simulation and optimization of neural circuits for MEG/EEG source estimates
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
We introduce XBrainLab, an open-source user-friendly software, for accelerated interpretation of neural patterns from EEG data based on cutting-edge computational approach.
Implementation of various simple networks based on PyTorch to classify EEG signals.
Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application
Occipital Alpha: Eyes Open vs Closed
PyMoBI: Python Mobile Brain Imaging Analysis ::::::::::: a Python library designed for processing and analyzing mobile EEG (electroencephalography) data:::::::::::
Attention-Based Temporal Learner With Dynamical Graph Neural Network for EEG Emotion Recognition. [DEAP]&&[MEEG]
🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python
Real-time EEG demonstration loops using LSL