crypto-code / Hopfield-NetworkLinks
Create a Hopfield Network for Image Reconstruction
☆18Updated 5 years ago
Alternatives and similar repositories for Hopfield-Network
Users that are interested in Hopfield-Network are comparing it to the libraries listed below
Sorting:
- A simple Hopfield neural network for recalling memories☆19Updated last year
- This folder contains code for the numerical simulation and analytical solution of continuous attractor neural network with a dynamic shif…☆17Updated 2 years ago
- Neurons learn by predicting future activity☆30Updated 4 years ago
- A Python implementation of the Hopfield network☆22Updated 4 years ago
- Implementation of Hopfield Neural Network in Python based on Hebbian Learning Algorithm☆13Updated 6 years ago
- Neuron-Astrocyte Liquid State Machine☆23Updated 4 years ago
- Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…☆64Updated 2 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆39Updated 4 years ago
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆14Updated 4 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆25Updated last year
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆31Updated last year
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆57Updated last year
- ☆102Updated last year
- Basic Implementation of a Continuous-attractor Neural Network☆30Updated 3 years ago
- [NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State☆29Updated 4 years ago
- ☆92Updated 2 years ago
- Hopfield network implemented with Python☆98Updated 5 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆42Updated 4 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆40Updated 2 years ago
- Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"☆14Updated 6 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆53Updated 5 years ago
- This Dolphin texture project is aimed to making Sonic Colors look much, MUCH better.☆11Updated 10 years ago
- Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".☆14Updated 2 years ago
- ☆31Updated 2 years ago
- ☆19Updated 3 years ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆25Updated 4 years ago
- Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse☆18Updated last year
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆66Updated 4 years ago
- Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]☆74Updated 2 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago