Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients
☆40May 26, 2023Updated 2 years ago
Alternatives and similar repositories for HebbianCNNPyTorch
Users that are interested in HebbianCNNPyTorch are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.☆31Aug 30, 2021Updated 4 years ago
- Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.☆14Apr 26, 2022Updated 3 years ago
- ☆14Jul 22, 2021Updated 4 years ago
- Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)☆50Sep 25, 2017Updated 8 years ago
- Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.☆27Jul 2, 2024Updated last year
- Neurons learn by predicting future activity☆30Nov 4, 2021Updated 4 years ago
- official repository for the Instance Prototype Contrastive Learning (IPCL)☆18Jun 20, 2022Updated 3 years ago
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆14Mar 14, 2021Updated 4 years ago
- Code for "A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs", ICLR 2019☆49Jan 7, 2019Updated 7 years ago
- Python implementation of the Leabra framework☆18Jan 30, 2018Updated 8 years ago
- Tensorflow implementation of fisheye transformation, mimicking the spatial sampling properties in the primate retina☆17Oct 7, 2019Updated 6 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Mar 19, 2025Updated 11 months ago
- spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals☆18Feb 12, 2014Updated 12 years ago
- Embedder with binary sparse distributed representation.☆20May 15, 2025Updated 9 months ago
- Neuro-inspired AI Toolkit☆28Sep 17, 2025Updated 5 months ago
- We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.☆21Feb 23, 2023Updated 3 years ago
- OpenAI gym Environments for Quadrotor Control☆17Mar 6, 2019Updated 6 years ago
- ☆256May 8, 2021Updated 4 years ago
- ☆20Jul 16, 2019Updated 6 years ago
- Software for using predictive coding algorithms to train PyTorch models.☆26Feb 13, 2024Updated 2 years ago
- ☆26Sep 14, 2025Updated 5 months ago
- Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation☆32Apr 15, 2019Updated 6 years ago
- This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it…☆32Aug 5, 2020Updated 5 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆31Oct 31, 2024Updated last year
- Implementation of feedback alignment learning in PyTorch☆31Jun 5, 2023Updated 2 years ago
- PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym☆39Sep 4, 2024Updated last year
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆36Mar 9, 2024Updated last year
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆37Jun 25, 2018Updated 7 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆38Apr 23, 2019Updated 6 years ago
- An implementation of a neural network training routine using derivative information in Pytorch.☆10Dec 19, 2020Updated 5 years ago
- Reinforcement Learning Recommender System suggesting relevant scientific services to appropriate researchers☆11Aug 29, 2024Updated last year
- CartoonX is a saliency map method for image classifiers operating in the wavelet/shearlet domain.☆10Feb 23, 2026Updated last week
- Reference implementation of Thin and Deep Gaussian Processes (NeurIPS 2023)☆14Nov 25, 2024Updated last year
- LEAP is a novel tool for discovering latent temporal causal relations.☆17Oct 18, 2021Updated 4 years ago
- Visual Concept Connectome☆15Jun 23, 2024Updated last year
- A MLP implementation in Python☆13May 2, 2019Updated 6 years ago
- Bonsai package for controlling headborne, calcium imaging miniscopes☆12Mar 4, 2024Updated last year
- ☆14Jan 23, 2025Updated last year
- A step-by-step introduction to ROS2 on the Create3.☆10May 20, 2022Updated 3 years ago