takyamamoto / Hopfield-Network
Hopfield network implemented with Python
☆87Updated 4 years ago
Alternatives and similar repositories for Hopfield-Network:
Users that are interested in Hopfield-Network are comparing it to the libraries listed below
- A Python implementation of the Hopfield network☆20Updated 3 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆81Updated 11 months ago
- Repository for example implementation of spatially-embedded RNNs. See https://www.jachterberg.com/seRNN for more information.☆41Updated 4 months ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆47Updated 11 months ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated 11 months ago
- ☆14Updated 3 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆23Updated last month
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆151Updated 4 years ago
- Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…☆55Updated last year
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆37Updated last year
- Example of Dense Associative Memory training on MNIST☆35Updated 2 years ago
- PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym☆35Updated 5 months ago
- Implementation of feedback alignment learning in PyTorch☆30Updated last year
- A repository collating interesting and/or influential predictive coding papers☆67Updated 3 years ago
- Neurons learn by predicting future activity☆27Updated 3 years ago
- Spiking neuron integration for PyTorch☆39Updated 11 months ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆32Updated 5 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆30Updated 5 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 3 years ago
- Spyx: Spiking Neural Networks in JAX☆109Updated 4 months ago
- ☆28Updated last year
- Software for using predictive coding algorithms to train PyTorch models.☆19Updated last year
- This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.☆39Updated 2 months ago
- Deep Learning without Weight Transport☆34Updated 5 years ago
- Predictive Coding in the Visual Cortex: a Functional Interpretation of Some Extra-classical Receptive-field Effects☆23Updated 5 years ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆68Updated 6 years ago
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆13Updated 3 years ago
- Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.☆37Updated 3 weeks ago
- Some methods for comparing network representations in deep learning and neuroscience.☆130Updated 6 months ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆45Updated this week