Transparent cognitive sandbox disguised as a Tamagotchi-style digital pet - watch brains grow & rewire through Hebbian learning & Neurogenesis

NGC-Learn: Computational Neuroscience Simulation and NeuroAI Design in Python

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

The Mind Palace for AI Agents - HIPAA-hardened Cognitive Architecture with on-device LLM (prism-coder:7b), Hebbian learning, ACT-R spreading activation, adversarial evaluation, persistent memory, multi-agent Hivemind and visual dashboard. Zero API keys required.

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

NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch

Studying collective memories of internet users using Wikipedia viewership statistics

Brain-inspired knowledge graph: spreading activation, Hebbian learning, memory consolidation.

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

Persistent memory MCP server for AI agents — Rust, 19 tools, knowledge graph, Hebbian learning, episodic memory, contradiction detection, prospective triggers, Bayesian calibration, zero-config Docker setup.

Non-bijunctive attention collapse for LLM inference — POWER8 hardware AES (vcipher) + AltiVec vec_perm. Hebbian path selection, cross-head diffusion, O(1) KV prefiltering.

Code for paper NeurIPS AMHN 2023

Code for the assignments for the Computational Neuroscience Course BT6270 in the Fall 2018 semester

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

Implementation of Hopfield Neural Network in Python based on Hebbian Learning Algorithm

Muscle memory for Claude, OpenClaw, and AI agents. Zero-cost Hebbian memory system — learns which files matter through co-access patterns, predicts what you need next.

unsupervised learning of natural images -- à la SparseNet.