victorjo97 / MNIST_memristorLinks
Python code implementing the algorithms of my MSc Dissertation on "Modified training for increased robustness in memristor-based neural networks".
☆17Updated 3 years ago
Alternatives and similar repositories for MNIST_memristor
Users that are interested in MNIST_memristor are comparing it to the libraries listed below
Sorting:
- Spike-based artificial intelligence computing platform☆103Updated last year
- Repository code for the IJCNN 2021 paper "Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks"☆17Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- Neuromorphic paper list, automatically updating everyday at 8:00 am GMT.☆48Updated this week
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆45Updated last year
- Simulations using Brian for memristor-based neural networks using STDP learning☆28Updated 9 years ago
- Spatio-temporal BP for SNNs☆232Updated 3 years ago
- ☆57Updated 2 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆133Updated 5 years ago
- ☆255Updated 4 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- Original DVS128 Gesture Dataset in PyTorch☆13Updated 2 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆90Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆65Updated last year
- [Nature Communications 2023] "Wearable in-sensor reservoir computing using optoelectronic polymers with through-space charge-transport ch…☆14Updated 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
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆113Updated 3 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆87Updated last year
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆58Updated 2 years ago
- This repo is the implementation of the spatio-temporal credit assignment (STCA) algorithm for training deep spiking neural networks.☆28Updated 6 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆55Updated 3 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆31Updated 3 years ago
- Here is the official code for ICASSP 2024 "Optimal ANN-SNN Conversion with Group Neurons".☆14Updated last year
- Offical implementation of "Adaptive Smoothing Gradient Learning for Spiking Neural Networks", ICML 2023☆26Updated 2 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 4 years ago
- a spiking neural network module, tempotron for classification☆17Updated 4 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆12Updated 4 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆32Updated 2 years ago
- ☆17Updated 3 years ago