NACLab / ngc-learn
NGC-Learn: Neurobiological Systems Design and Simulation in Python
☆142Updated this week
Alternatives and similar repositories for ngc-learn:
Users that are interested in ngc-learn are comparing it to the libraries listed below
- Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…☆56Updated 2 years ago
- A repository collating interesting and/or influential predictive coding papers☆75Updated 3 years ago
- Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.☆38Updated 2 months ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆49Updated last year
- Predictive Coding JAX-based library☆50Updated 3 weeks ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆151Updated 4 years ago
- ☆73Updated last year
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆137Updated 3 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆85Updated last year
- Repository for example implementation of spatially-embedded RNNs. See https://www.jachterberg.com/seRNN for more information.☆45Updated 6 months ago
- ☆40Updated 2 years ago
- ☆28Updated last year
- A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)☆15Updated 4 years ago
- Predictive coding in Python☆65Updated last year
- Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent model…☆18Updated last year
- This repository contains the code for the paper "Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropag…☆111Updated last year
- ☆24Updated 10 months ago
- A library for neuroscience-inspired navigation and decision making research.☆205Updated 2 months ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆25Updated 3 months ago
- Implementation of the Tolman Eichenbaum Machine in pytorch☆150Updated 2 years ago
- Neurons learn by predicting future activity☆28Updated 3 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆313Updated 8 months ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- ☆186Updated 2 years ago
- A library for deep learning with Spiking Neural Networks (SNN).☆28Updated last week
- PyTorch Implementation of the paper "A Neuro-vector-symbolic architecture for Solving Raven's Progressive Matrices" published in Nature M…☆91Updated last year
- Spyx: Spiking Neural Networks in JAX☆112Updated 6 months ago
- A list of papers that I liked.☆19Updated 2 years ago
- A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.☆221Updated last month
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 3 years ago