takyamamoto / Hopfield-NetworkLinks
Hopfield network implemented with Python
☆91Updated 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
Sorting:
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆87Updated last year
- A Python implementation of the Hopfield network☆21Updated 4 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- NGC-Learn: Neurobiological Systems Design and Simulation in Python☆155Updated 2 weeks ago
- Spiking neuron integration for PyTorch☆41Updated 3 months ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆49Updated last year
- Predictive Coding in the Visual Cortex: a Functional Interpretation of Some Extra-classical Receptive-field Effects☆24Updated 5 years ago
- Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.☆41Updated 4 months ago
- ☆14Updated 3 years ago
- PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym☆37Updated 9 months ago
- Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)☆43Updated 3 years ago
- Tools to use with Brian 2, in particular for visualization☆18Updated 10 months ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆38Updated 2 years ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆157Updated 4 years ago
- Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…☆60Updated 2 years ago
- Example of Dense Associative Memory training on MNIST☆36Updated 2 years ago
- ☆39Updated 2 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 5 months ago
- A brian2 extension to simulate spiking neural networks on GPUs☆63Updated 5 months ago
- Liquid State Machines in Python and NEST☆72Updated 4 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆69Updated 6 years ago
- Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent model…☆20Updated last year
- Exercises for "Neuroscience for machine learners" course☆53Updated 7 months ago
- Implementation of the Tolman Eichenbaum Machine in pytorch☆156Updated 3 years ago
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆14Updated 4 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆30Updated 5 years ago
- Neurons learn by predicting future activity☆29Updated 3 years ago