kaustubh77 / Unsupervised-Digit-Recognition-using-Spike-Timing-Dependent-PlasticityLinks
This project aims doing unsupervised learning of digit recognition task using Spiking neural network and Spike timing Dependent Plasticity so as to bring the representation of neural network more towards how actually the brain works. This project is still under progress.
☆9Updated 5 years ago
Alternatives and similar repositories for Unsupervised-Digit-Recognition-using-Spike-Timing-Dependent-Plasticity
Users that are interested in Unsupervised-Digit-Recognition-using-Spike-Timing-Dependent-Plasticity are comparing it to the libraries listed below
Sorting:
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 3 years ago
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆23Updated this week
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆19Updated 4 years ago
- Weight distribution analysis of two deep spiking neural networks built in SpykeTorch (Networks from: https://github.com/miladmozafari/Spy…☆9Updated 4 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆47Updated 4 years ago
- Spiking Convolutional Neural Networks☆69Updated 6 years ago
- a spiking neural network module, tempotron for classification☆17Updated 4 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆41Updated 9 months ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- ☆13Updated 4 years ago
- Neuron-Astrocyte Liquid State Machine☆19Updated 3 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆11Updated 4 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆34Updated 3 years ago
- ☆70Updated 3 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆29Updated 3 years ago
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆26Updated 5 years ago
- Codes of the paper of "Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines"☆12Updated 2 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 years ago
- Meta-Dynamic Neurons improved Spatio-temporal Generalization of Spiking Neural Networks☆9Updated 4 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆85Updated 2 years ago
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆23Updated 2 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆30Updated last year
- ☆38Updated 3 years ago
- A toolbox for neuromorphic sensing in robotics.☆16Updated 4 years ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆19Updated last year
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Updated 2 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 4 years ago
- ☆17Updated 3 years ago
- spiking-neural-networks☆37Updated 4 months ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆61Updated last year