dlcjfgmlnasa / NeuroXAI
[ESWA] NeuroXAI: Adaptive, Robust, Explainable Surrogate Framework for Determination of Channel Importance in EEG Application
☆22Updated 5 months ago
Alternatives and similar repositories for NeuroXAI
Users that are interested in NeuroXAI are comparing it to the libraries listed below
Sorting:
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆55Updated 3 months ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆26Updated 3 weeks ago
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆34Updated 2 years ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆24Updated 2 months ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆43Updated last month
- ☆11Updated last year
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆20Updated 11 months ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- Code repository for S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models☆18Updated last year
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆72Updated 5 months ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 5 months ago
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆27Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year
- ☆18Updated 5 months ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆53Updated 2 months ago
- Analysis of Transformer attention in EEG signal classification☆44Updated 8 months ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆48Updated last year
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆21Updated 2 years ago
- ☆16Updated last year
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆43Updated 11 months ago
- Deep learning model for EEG artifact removal☆70Updated 2 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 3 years ago
- This repository contains the python scripts developed as a part of the work presented in the paper "STAnet: A Spatiotemporal Attention Ne…☆11Updated 2 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆47Updated last month
- Matlab code for SBLEST algorithm☆43Updated last year
- A Novel Decoding Approach for Hybrid EEG-fNIRS BCI.☆14Updated 2 months ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆29Updated 4 years ago
- MATLAB code to decode the spatial focus of auditory attention from EEG using common spatial pattern filters and Riemannian geometry-based…☆24Updated 2 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆34Updated 3 weeks ago