nengo / nengo-examplesLinks
Instructive examples using projects in the Nengo ecosystem
☆23Updated last year
Alternatives and similar repositories for nengo-examples
Users that are interested in nengo-examples are comparing it to the libraries listed below
Sorting:
- Brian 2 frontend to the GeNN simulator☆47Updated 10 months ago
- Deep learning integration for Nengo☆91Updated 3 months ago
- ☆49Updated 6 years ago
- Event-Driven CD in Spiking Neural Networks☆20Updated 9 years ago
- Run Nengo models on Intel's Loihi chip☆39Updated 3 months ago
- Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks☆13Updated 3 years ago
- RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.☆29Updated 7 years ago
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Updated 7 years ago
- A brian2 extension to simulate spiking neural networks on GPUs☆63Updated 6 months ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 7 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆58Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆50Updated 4 years ago
- Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.☆66Updated 2 years ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆58Updated 7 years ago
- ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.☆40Updated 2 weeks ago
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆65Updated 4 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- ☆92Updated last year
- The SpiNNaker implementation of the PyNN neural networking language☆112Updated last week
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆23Updated 4 years ago
- This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it…☆31Updated 4 years ago
- Liquid State Machines in Python and NEST☆72Updated 4 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆35Updated 5 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 4 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆61Updated 4 years ago
- Tensorflow implementation of Spike-GAN, which allows generating realistic patterns of neural activity whose statistics approximate a give…☆23Updated 6 years ago
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- Brian is a simulator for spiking neural networks available on almost all platforms. This is the legacy version that is no longer develope…☆60Updated 2 years ago
- The PyNN 0.8 interface to sPyNNaker.☆19Updated 3 years ago