Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
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Updated
Jul 28, 2021 - Python
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
Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
This repository has implementations of various alternatives to backpropagation for training neural 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 and Adaline neural networks to implement AND gate, and OR gate.
Assignments on Neural Networks
In this project, I used Hebbian, Perceptron, Adaline, MultiClassPerceptron and MultiClassAdaline neural networks to implement X and O character recognition.
Assorted mix of code studying Neural Networks, Deep Learning, and training strategies.
A Hopfield network to reconstruct patterns (numerical digits) and cope with noise.
Term project for CS525
This repository contains basic neural network design concepts like hebbian learning, perceptron rule, filtered learning
Playing with biologically plausible deep learning
A Hedonistic Hebbian Neural Network in python.
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