tcstewar / nengo_learning_examples
Examples of learning models in nengo
☆17Updated 7 years ago
Alternatives and similar repositories for nengo_learning_examples
Users that are interested in nengo_learning_examples are comparing it to the libraries listed below
Sorting:
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Ideas for models that could be made with Nengo if anyone has time☆9Updated 2 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆84Updated 2 years ago
- ☆90Updated last year
- Instructive examples using projects in the Nengo ecosystem☆23Updated last year
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆226Updated 9 months ago
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆100Updated 2 months ago
- Deep learning integration for Nengo☆90Updated last month
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆60Updated 4 years ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆69Updated 6 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆30Updated 10 months ago
- A brian2 extension to simulate spiking neural networks on GPUs☆63Updated 4 months ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 3 months ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆128Updated 7 years ago
- ☆15Updated last year
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆48Updated 2 weeks ago
- Course notes for SYDE 556: Simulating Neurobiological Systems☆14Updated 10 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
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆57Updated last year
- A library for deep learning with Spiking Neural Networks (SNN).☆29Updated this week
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆159Updated 5 years ago
- Run Nengo models on Intel's Loihi chip☆38Updated last month
- Brian 2 frontend to the GeNN simulator☆47Updated 8 months ago
- Nengo interactive visualizer☆106Updated last week
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆23Updated 4 years ago
- Deep Spiking Reinforcement Learning☆24Updated last year
- Spiking Convolutional Neural Networks☆67Updated 6 years ago
- A spiking net simulator implemented in Tensorflow 2.0 with plastic synaptic delays and weights.☆38Updated 5 years ago