fmi-basel / storkLinks
A differentiable spiking neural network simulator
☆24Updated last month
Alternatives and similar repositories for stork
Users that are interested in stork are comparing it to the libraries listed below
Sorting:
- ☆34Updated 4 months ago
- Tutorial for surrogate gradient learning in spiking neural networks☆351Updated last year
- Cosyne workshop tutorial 2022☆128Updated 3 years ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆69Updated 7 years ago
- ☆103Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆53Updated 5 years ago
- Supervised Spiking Network☆82Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆109Updated 5 years ago
- Liquid State Machines in Python and NEST☆76Updated 5 years ago
- ☆41Updated 5 years ago
- Brian 2 frontend to the GeNN simulator☆48Updated last month
- ☆46Updated 3 years ago
- A library for deep learning with Spiking Neural Networks (SNN).☆38Updated last month
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆66Updated last year
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆75Updated this week
- ☆31Updated last year
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆30Updated last year
- ☆39Updated 4 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆33Updated last year
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆231Updated last year
- Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]☆74Updated 2 years ago
- ☆15Updated this week
- A brian2 extension to simulate spiking neural networks on GPUs☆66Updated last week
- What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…☆275Updated 3 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆32Updated last year
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆64Updated 5 years ago
- ☆34Updated 5 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆38Updated 4 years ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆25Updated 4 years ago
- Neurons learn by predicting future activity☆30Updated 4 years ago