wzhlearning / fNIRSNet
CNN-based fNIRS classification: Rethinking Delayed Hemodynamic Responses for fNIRS Classification
☆17Updated 7 months ago
Alternatives and similar repositories for fNIRSNet:
Users that are interested in fNIRSNet are comparing it to the libraries listed below
- Preprocessing and feature extraction (slopes, moving slopes, Kurtosis, skewness, mean and variance) codes in MATLAB for analyzing fNIRS (…☆10Updated 7 years ago
- Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification☆63Updated 9 months ago
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆11Updated 2 years ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆17Updated 3 years ago
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆15Updated 7 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- Python A novel multimodal approach for hybridbrain-computer interface☆16Updated 4 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆41Updated 2 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆37Updated last year
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- ☆43Updated 5 years ago
- Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/☆11Updated 3 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆35Updated last year
- code for LMDA☆70Updated last year
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆56Updated last year
- Python implemementation of the FBCSP algorithm☆32Updated 7 months ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆39Updated last month
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆62Updated 5 months ago
- EEG Motor Imagery with Deep Learning☆13Updated 2 years ago
- Tutorial for data processing for hybrid BCI☆34Updated 6 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆51Updated 3 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆59Updated last month
- implementation of FBCSP algorithm☆25Updated 5 years ago
- Pytorch implementation of EEGNet.☆43Updated 2 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆12Updated last year
- Public fNIRS dataset☆32Updated last year
- Moved to https://github.com/TNTLFreiburg/braindecode!☆60Updated 4 years ago