Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python

Hopfield network implemented with Python

A lightweight and flexible framework for Hebbian learning in PyTorch.

Python implementation of the Epigenetic Robotic Architecture (ERA). It includes standalone classes for Self-Organizing Maps (SOM) and Hebbian Networks.

PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym

This repository has implementations of various alternatives to backpropagation for training neural networks.

NeurIPS AMHN 2023: Neural recordings artifacts preprocessing model and pipeline. Hopfield Deep Neural Networks for Artifact preprocessing in Brain State Decoding

Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks

A neural network model builder, leveraging a neuro-symbolic interface.

Code for Limbacher, T., Özdenizci, O., & Legenstein, R. (2022). Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity. arXiv preprint arXiv:2205.11276.

Malleable spiking neural network framework and training platform.

In this project, I used Hebbian, Perceptron, Adaline, MultiClassPerceptron and MultiClassAdaline neural networks to implement X and O character recognition.

In this project, I used Hebbian, Perceptron and Adaline neural networks to implement AND gate, and OR gate.

Assignments on Neural Networks

Assorted mix of code studying Neural Networks, Deep Learning, and training strategies.

A Hopfield network to reconstruct patterns (numerical digits) and cope with noise.

Contrastive Hebbian learning on MNIST, reaching ~97% accuracy with a small 784-128-10 MLP.

Term project for CS525

RL-MUJOCO uses optimization-based algorithms such as SAC, DDPG, and PPO, as well as bio-plausible algorithms such as Hebbian PPO and Kolen-Pollack PPO to simulate multiple environments within the gym.