Pouya-SZ / DSC0NNLinks
Deep Spiking Convolutional Neural Network for Epilepsy Detection
☆11Updated 5 years ago
Alternatives and similar repositories for DSC0NN
Users that are interested in DSC0NN are comparing it to the libraries listed below
Sorting:
- A Spiking Neural Network encoder for time series data☆22Updated 4 years ago
- This repository contains an implementation of the SNN algorithm NeuCube for EEG brain data classification.☆24Updated 7 years ago
- The realization of Independent Component Analysis (ICA) and FastICA and its application (Code + Description).☆30Updated 6 years ago
- IEEE Transactions on Biomedical Circuits and Systems: Memristive Seizure Detection and Prediction by Parallel Convolutional Neural Networ…☆23Updated 3 years ago
- PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware☆48Updated 3 years ago
- The model for the paper “Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patien…☆17Updated 4 years ago
- ☆17Updated 8 years ago
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆25Updated 3 years ago
- Pytorch implementation of Spiking Neural Networks for Human Activity Recognition.☆21Updated 3 years ago
- ☆25Updated 4 years ago
- Codes for our paper "Triple-Attention-based Spatio-Temporal-Spectral Convolutional Network for Epileptic Seizure Prediction "☆22Updated 3 years ago
- Different methods(STFT, CWT) transform EEG signal into image visualization☆16Updated 5 years ago
- NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural …☆49Updated last year
- Data encoders☆33Updated 4 years ago
- ☆12Updated 2 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 4 years ago
- cuijiancorbin / Subject-Independent-Drowsiness-Recognition-from-Single-Channel-EEG-with-an-Interpretable-CNN-LSTMIn this project, we propose a CNN-LSTM model to classify single-channel EEG for driver drowsiness detection. We designed a visualization …☆14Updated 4 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated 2 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆12Updated 5 years ago
- ☆23Updated 3 years ago
- SOTA methods for performing emotion classification using Transformers.☆21Updated 3 years ago
- Codes for Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning☆11Updated 3 years ago
- ☆22Updated 4 years ago
- This repository contains the python scripts developed as a part of the work presented in the paper "Low-latency auditory spatial attentio…☆10Updated 4 years ago
- ☆10Updated 4 years ago
- residual deep cnn and lstm for classifying SEED data☆13Updated 2 years ago
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆76Updated 3 years ago
- SEEG Project☆16Updated 5 years ago
- Pytorch/Python implementation of the joint CNN-LSTM deep learning model☆24Updated 4 years ago
- This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.☆31Updated 5 years ago