IGITUGraz / L2L
Learning to Learn: Gradient-free Optimization framework
☆36Updated 3 years ago
Related projects: ⓘ
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆48Updated 3 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆54Updated 6 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆12Updated 5 months ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆31Updated 4 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆21Updated 8 months ago
- ☆26Updated 10 months ago
- Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks☆13Updated 2 years ago
- Instructive examples using projects in the Nengo ecosystem☆23Updated 10 months ago
- Brian 2 frontend to the GeNN simulator☆46Updated 2 weeks ago
- Synaptic Plasticity with Online Reinforcement learning☆25Updated 6 years ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆22Updated 3 years ago
- PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym☆34Updated 2 weeks ago
- Implementation of the Legendre Memory Unit in PyTorch☆22Updated 4 years ago
- Liquid State Machines in Python and NEST☆59Updated 3 years ago
- Spiking neuron integration for PyTorch☆38Updated 6 months ago
- A brian2 extension to simulate spiking neural networks on GPUs☆60Updated 2 months ago
- ☆14Updated 3 years ago
- Implementation of feedback alignment learning in PyTorch☆29Updated last year
- Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.☆33Updated 3 months ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated 6 months ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆28Updated 3 years ago
- ☆83Updated 6 months ago
- ☆23Updated 3 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆36Updated 3 years ago
- Tensorflow implementation of Spike-GAN, which allows generating realistic patterns of neural activity whose statistics approximate a give…☆23Updated 5 years ago
- Neurons learn by predicting future activity☆27Updated 2 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆35Updated last year
- Spiking neuron integration for Keras☆31Updated 6 months ago
- ☆26Updated 5 years ago
- Long short-term memory Spiking Neural Networks☆97Updated 4 years ago