Statistics for topic brain-computer-interface
RepositoryStats tracks 616,836 Github repositories, of these 35 are tagged with the brain-computer-interface topic. The most common primary language for repositories using this topic is Python (20).
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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
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
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
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
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
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
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
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
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.
A driver, parser and real time brainwave plotter for NeuroSky MindWave EEG headset
Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
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
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification
List of summer schools to study brain-computer interfaces, neurotechnology & related fields worldwide
Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers