QUVA-Lab / spiking-equilibrium-propLinks
☆11Updated 4 years ago
Alternatives and similar repositories for spiking-equilibrium-prop
Users that are interested in spiking-equilibrium-prop are comparing it to the libraries listed below
Sorting:
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆35Updated 5 years ago
- ☆114Updated last year
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Updated 7 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 3 years ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 7 years ago
- RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.☆29Updated 7 years ago
- Deep Learning without Weight Transport☆36Updated 5 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks☆13Updated 3 years ago
- subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks☆16Updated 7 years ago
- ☆28Updated 6 years ago
- Event-Driven CD in Spiking Neural Networks☆20Updated 9 years ago
- Instructive examples using projects in the Nengo ecosystem☆23Updated last year
- Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)☆50Updated 7 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆37Updated 6 years ago
- ☆17Updated 4 years ago
- To identify features by aggregate-label learning in spiking neurons☆14Updated 7 years ago
- Neural model of hierarchical reinforcement learning☆16Updated 7 years ago
- Proportional-Derivative Neural Networks, as described in Temporally Efficient Deep Learning with Spikes☆16Updated 7 years ago
- Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"☆14Updated 5 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆38Updated 2 years ago
- Training neural networks with back-prop, feedback-alignment and direct feedback-alignment☆103Updated 7 years ago
- Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)☆43Updated 3 years ago
- Biologically-realistic recurrent convolutional neural networks☆98Updated last year
- Experiments with Direct Feedback Alignment training scheme for DNNs☆32Updated 8 years ago
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆102Updated 3 months ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year