GabrieleLagani / HebbianLearningThesisLinks
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
☆31Updated 3 years ago
Alternatives and similar repositories for HebbianLearningThesis
Users that are interested in HebbianLearningThesis are comparing it to the libraries listed below
Sorting:
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆39Updated 2 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆50Updated 4 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated last year
- Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.☆28Updated last year
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆87Updated last year
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆158Updated 4 years ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆50Updated last year
- ☆80Updated last year
- Simulation of spiking neural networks (SNNs) using PyTorch.☆43Updated last year
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 8 months ago
- Neurons learn by predicting future activity☆29Updated 3 years ago
- ☆14Updated 3 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 4 years ago
- Spiking neuron integration for PyTorch☆41Updated 4 months ago
- NGC-Learn: Neurobiological Systems Design and Simulation in Python☆155Updated last month
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆228Updated 11 months ago
- Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…☆60Updated 2 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
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆35Updated 5 years ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆23Updated 4 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆325Updated 11 months ago
- A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.☆64Updated 2 years ago
- Deep learning for spiking neural networks☆69Updated last year
- 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
- Liquid State Machines in Python and NEST☆72Updated 4 years ago
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆139Updated 3 years ago
- Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021☆155Updated 3 years ago
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆389Updated 3 years ago
- ☆34Updated 5 years ago