IGITUGraz / LSMLinks
Liquid State Machines in Python and NEST
☆73Updated 4 years ago
Alternatives and similar repositories for LSM
Users that are interested in LSM are comparing it to the libraries listed below
Sorting:
- Long short-term memory Spiking Neural Networks☆104Updated 5 years ago
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆58Updated 2 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆335Updated last year
- ☆96Updated last year
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆167Updated 6 years ago
- Basic SNN propogating spikes between LIF neurons☆86Updated 7 years ago
- Supervised Spiking Network☆81Updated 3 years ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆229Updated last year
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 7 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆32Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆52Updated 5 years ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆70Updated 6 years ago
- Cosyne workshop tutorial 2022☆122Updated 3 years ago
- What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…☆269Updated 2 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆43Updated last year
- ☆351Updated 3 years ago
- RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.☆29Updated 7 years ago
- ☆31Updated 9 months ago
- ☆27Updated 3 weeks ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆382Updated 2 years ago
- ☆70Updated 4 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆62Updated 4 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆33Updated last year
- spiking-neural-networks☆37Updated this week
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- Some of my initial studies using spiking neural networks and Python☆37Updated 3 years ago
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆394Updated 4 years ago
- Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]☆73Updated 2 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆57Updated 2 years ago
- ☆38Updated 3 years ago