shilpakancharla / event-based-velocity-prediction-snnLinks
Neuromorphic computing uses very-large-scale integration (VLSI) systems with the goal of replicating neurobiological structures and signal conductance mechanisms. Neuromorphic processors can run spiking neural networks (SNNs) that mimic how biological neurons function, particularly by emulating the emission of electrical spikes. A key benefit …
☆12Updated 2 years ago
Alternatives and similar repositories for event-based-velocity-prediction-snn
Users that are interested in event-based-velocity-prediction-snn are comparing it to the libraries listed below
Sorting:
- Long short-term memory Spiking Neural Networks☆104Updated 5 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆31Updated 5 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆61Updated 4 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆131Updated 4 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
- Awesome Spiking Neural Networks☆134Updated 3 months ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆51Updated 2 years ago
- Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]☆70Updated 2 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆80Updated last year
- Supervised Spiking Network☆80Updated 3 years ago
- Deep Residual Learning in Spiking Neural Networks☆168Updated 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
- A Spiking Neural Network Architecture for MNIST Digit Recognition☆32Updated 6 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆30Updated last year
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 years ago
- this repository cord my subscriptions in arxiv with spiking neural network, and [this](https://github.com/shenhaibo123/SNN_summaries) is …☆13Updated 2 years ago
- ☆54Updated 2 years ago
- ☆10Updated 6 years ago
- ☆12Updated 4 years ago
- Data encoders☆32Updated 4 years ago
- Spiking Convolutional Neural Networks☆69Updated 6 years ago
- ☆29Updated last year
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆41Updated 9 months ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆19Updated 4 years ago
- ☆45Updated 2 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆108Updated 2 years ago
- ☆53Updated last year
- ☆91Updated last year