#计算机科学#MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
#Awesome#A curated list of awesome neuroscience libraries, software and any content related to the domain.
#计算机科学#This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
#计算机科学#Deep learning software to decode EEG, ECG or MEG signals
The MATLAB toolbox for MEG, EEG and iEEG analysis
Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
#计算机科学#Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
#时序数据库#A unified multi-task time series model.
Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application
A list of openly available datasets in (mostly human) electrophysiology.
#计算机科学#[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
#计算机科学#An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning