IGITUGraz / eligibility_propagationLinks
☆92Updated 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☆102Updated 5 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆53Updated 3 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆55Updated 2 years ago
- ☆45Updated 3 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆325Updated 11 months ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆228Updated 11 months ago
- ☆31Updated 6 months 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
- ☆38Updated 3 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆165Updated 6 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆32Updated last year
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- ☆42Updated 5 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆101Updated 4 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆80Updated 2 years ago
- Basic SNN propogating spikes between LIF neurons☆84Updated 6 years ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆377Updated 2 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 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…☆268Updated 2 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆318Updated last month
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆389Updated 3 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- Tutorial for surrogate gradient learning in spiking neural networks☆46Updated 11 months ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆30Updated 3 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆11Updated 3 years ago
- ☆34Updated 5 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆83Updated last year
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Updated 2 years ago
- Event datasets and transforms.☆248Updated last month
- ☆348Updated 3 years ago