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
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Updated
May 2, 2022 - Python
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
CS198-96: Intro to Neurotechnology @ UC Berkeley
ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides eno…
A matlab EEG toolbox to perform overlap correction and non-linear & linear regression.
Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia
Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder (IEEE Access)
Factorial Mass Univariate ERP Toolbox (FMUT)
EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.
MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.
Plotting and visualization tools for EEG data, with additional Unfold.jl regression ERP methods. Based on the visualization libraries Makie.jl and AlgebraOfGraphics.jl
Essential Motor Cortex Signal Processing MATLAB Toolbox which implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ERP estimation and quantification, (2) Cortical Functional Connectivity analysis and (3) EMG quantification
Adaptive Common Spatio-Temporal Pattern (ACSTP) for Event-Related Potential (ERP) analysis.
Extract the independant sources with Composite Approximate Joint Diagonalization (CAJD) for linear/bilinear data models
regression-based waveform estimation analysis of Delogu, Brouwer, and Crocker (2019, Brain and Cognition)
Materials for the course "A Hands-On Introduction to Event-Related Potentials" developed and taught by Mariella Paul
regression-based ERP waveform estimation (development repository)
Simulation studies of power and Type I error of mass univariate statistics for ERP data
Data from 11 subjects that took part in a Human-Agent Collaboration experiment. The name of the paper is "Brain computer interface to distinguish between self and other related errors in human agent collaboration" published in Scientific Reports.
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