Transparent cognitive sandbox: Raise digital squids - watch brains grow & rewire themselves 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 — Autonomous Cognitive OS with affect-tagged memory (valence engine), token-economic RL (surprisal gate + UBI), Hebbian learning, ACT-R spreading activation, Synapse Engine (GraphRAG), adversarial evaluation (anti-sycophancy), fail-closed Dark Factory pipelines. Zero-config local mode.

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.

Code for paper NeurIPS AMHN 2023

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

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 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

unsupervised learning of natural images -- à la SparseNet.

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.