IGITUGraz / eligibility_propagationLinks
☆103Updated last year
Alternatives and similar repositories for eligibility_propagation
Users that are interested in eligibility_propagation are comparing it to the libraries listed below
Sorting:
- Long short-term memory Spiking Neural Networks☆109Updated 5 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆57Updated 3 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆349Updated last year
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆59Updated 3 years ago
- ☆31Updated last year
- ☆46Updated 3 years ago
- ☆38Updated 3 years ago
- Spiking Convolutional Neural Networks☆68Updated 7 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆325Updated 7 months ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆42Updated 4 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…☆275Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Updated 3 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆64Updated 5 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆47Updated last year
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆231Updated last year
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆32Updated last year
- Event datasets and transforms.☆266Updated 2 months ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆390Updated 3 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆33Updated last year
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆59Updated 2 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆83Updated 2 years ago
- Basic SNN propogating spikes between LIF neurons☆87Updated 7 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆53Updated 5 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆170Updated 6 years ago
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆397Updated 4 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆58Updated 7 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆30Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆133Updated 8 years ago