tufts-ml / fNIRS-mental-workload-classifiers
Code for training, evaluating, and visualizing performance of mental workload classification using fNIRS BCI sensors
☆27Updated 3 years ago
Alternatives and similar repositories for fNIRS-mental-workload-classifiers:
Users that are interested in fNIRS-mental-workload-classifiers are comparing it to the libraries listed below
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆60Updated 2 months ago
- ☆37Updated 3 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
- Preprocessing and feature extraction (slopes, moving slopes, Kurtosis, skewness, mean and variance) codes in MATLAB for analyzing fNIRS (…☆10Updated 7 years ago
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆21Updated 3 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆28Updated 3 years ago
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆15Updated 7 months ago
- Matlab code for SBLEST algorithm☆39Updated 10 months ago
- ☆28Updated last month
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆50Updated last month
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆48Updated last month
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆59Updated last month
- Moved to https://github.com/TNTLFreiburg/braindecode!☆60Updated 4 years ago
- ☆56Updated last year
- ☆13Updated last year
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆56Updated last year
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆19Updated 2 years ago
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆11Updated 2 years ago
- code for LMDA☆70Updated last year
- ☆19Updated 2 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 2 years ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆98Updated last year
- ☆29Updated 7 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆89Updated 2 years ago
- ☆9Updated 3 years ago
- Pytorch implementation of EEGNet.☆43Updated 2 years ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆44Updated last year
- NeurIPS 2024 poster☆21Updated 3 weeks ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year