| SuperBruceJia/EEG-DL |
563 |
|
0 |
0 |
about 3 years ago |
10 |
May 13, 2020 |
4 |
mit |
Python |
| A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow. |
| pbashivan/EEGLearn |
518 |
|
0 |
0 |
almost 6 years ago |
0 |
|
2 |
gpl-2.0 |
Python |
| A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea. |
| ZitongLu1996/NeuroRA |
130 |
|
0 |
1 |
almost 3 years ago |
152 |
April 11, 2024 |
3 |
mit |
Python |
| A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC) |
| lyndond/Analyzing_Neural_Time_Series |
124 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| python implementations of Analyzing Neural Time Series Textbook |
| mickcrosse/mTRF-Toolbox |
63 |
|
0 |
0 |
over 2 years ago |
0 |
|
13 |
bsd-3-clause |
MATLAB |
| A MATLAB Package for Relating Neural Signals to Continuous Stimuli |
| gibranfp/P300-CNNT |
52 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
|
Python |
| 1D Convolutional Neural Networks for P300 detection from EEG signals |
| ravikiran-mane/FBCNet |
43 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
mit |
Python |
| FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface |
| ynulonger/DE_CNN |
42 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
|
Python |
| This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input for EEG-Based Emotion Recognition" (To appear...) |
| zubara/mneflow |
31 |
|
0 |
0 |
over 2 years ago |
4 |
May 19, 2022 |
0 |
bsd-3-clause |
Python |
| Neural networks for EEG-MEG decoding with MNE-python and Tensorflow. |
| rootskar/EEGMotorImagery |
24 |
|
0 |
0 |
about 3 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| EEG motor imagery classification using convolutional neural networks |