eneriz-daniel / MIBCI-QCNNs
This repo contains the source code of the project "FPGA implementation of BCIs using QCNNs" submitted to the Xilinx Open Hardware Design Competition 2021.
☆13Updated 3 years ago
Alternatives and similar repositories for MIBCI-QCNNs:
Users that are interested in MIBCI-QCNNs are comparing it to the libraries listed below
- PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware☆35Updated 2 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆48Updated 2 years ago
- Repo: IEEE TNSRE Article "Modeling EEG data distribution with a Wasserstein Generative Adversarial Network (WGAN) to predict RSVP Events"…☆20Updated 3 years ago
- Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.☆39Updated 10 months ago
- IEEE Transactions on Biomedical Circuits and Systems: Memristive Seizure Detection and Prediction by Parallel Convolutional Neural Networ…☆14Updated 2 years ago
- Projects and Labs for the Parallel Programming for FPGAs book☆15Updated 3 weeks ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆156Updated 4 years ago
- This is the code for the paper Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition☆10Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆16Updated 4 months ago
- ☆12Updated 4 years ago
- Some attempts to build CNN on PYNQ.☆24Updated 5 years ago
- tinyODIN digital spiking neural network (SNN) processor - HDL source code and documentation.☆48Updated last year
- A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes pl…☆162Updated 2 years ago
- Code and data repository for FlexEMG 2020 Nature Electronics publication.☆23Updated 4 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆81Updated 4 years ago
- ☆87Updated 4 years ago
- Deep learning model for EEG artifact removal☆63Updated 2 years ago
- ☆10Updated last year
- Feed-forward neural networks can be trained based on a gradient-descent based backpropagation algorithm. But, these algorithms require mo…☆12Updated 4 years ago
- LMS-Adaptive Filter implement using verilog and Matlab☆38Updated 8 years ago
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆17Updated 4 years ago
- Fully opensource spiking neural network accelerator☆133Updated last year
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆53Updated 3 years ago
- UCSD CSE 237D Spring '20 Course Project☆14Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆81Updated 2 years ago
- PYNQ-Torch: a framework to develop PyTorch accelerators on the PYNQ platform☆68Updated 4 years ago
- Hardware implementation of Spiking Neural Network on a PYNQ-Z1 board☆32Updated 5 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆64Updated 3 years ago
- DETRtime, a framework for time-series segmentation☆19Updated last year
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆66Updated 6 months ago