EPFL-LCN / pub-illing2021-neuripsLinks
Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised contrastive predictions
☆25Updated last year
Alternatives and similar repositories for pub-illing2021-neurips
Users that are interested in pub-illing2021-neurips are comparing it to the libraries listed below
Sorting:
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated last year
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆40Updated 2 years ago
- ☆91Updated last year
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆38Updated 4 years ago
- "Towards Scaling Difference Target Propagation by Learning Backprop Targets" (ICML 2022)☆12Updated 2 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆53Updated 5 years ago
- Neurons learn by predicting future activity☆30Updated 4 years ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆55Updated last year
- ☆34Updated 5 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]☆74Updated 2 years ago
- ☆14Updated 4 years ago
- ☆102Updated last year
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆25Updated 4 years ago
- A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.☆68Updated 3 years ago
- Testing Difference Target Propagation (DTP) on MNIST.☆12Updated 5 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆42Updated 4 years ago
- Paper submission☆20Updated 2 years ago
- [NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State☆29Updated 4 years ago
- Supervised Spiking Network☆81Updated 3 years ago
- ☆38Updated 3 years ago
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆14Updated 4 years ago
- ☆17Updated 5 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- ☆19Updated 3 years ago
- BNTT - Frontiers in Neuroscience (2021)☆48Updated 4 years ago
- ☆46Updated 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…☆275Updated 3 years ago
- Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".☆14Updated 2 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year