The latest articles on DEV Community by @NineNi999neNine (@nineni999nenine). https://dev.to/nineni999nenine https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4085060%2Faf4d8dff-afd7-43aa-a8c0-a7529f884a68.png https://dev.to/nineni999nenine en @NineNi999neNine Wed, 19 Aug 2026 12:55:51 +0000 https://dev.to/nineni999nenine/fractalbrainos-open-source-hierarchical-kuramoto-oscillator-engine-in-c17-1f2h https://dev.to/nineni999nenine/fractalbrainos-open-source-hierarchical-kuramoto-oscillator-engine-in-c17-1f2h <p>Hi everyone,</p> <p>I've released <strong>FractalBrainOS v5.2 (Kubera Edition)</strong> — an open-source, self-learning neuromorphic brain engine implemented in C++17 without backpropagation.</p> <h3> Key Concepts &amp; Architecture: </h3> <ul> <li> <strong>Phase Dynamics:</strong> Hierarchical Kuramoto synchronization on self-similar triplet structures (3^L fractal scaling).</li> <li> <strong>Unsupervised Learning:</strong> Driven by Karl Friston's Free Energy Principle (FEP). Free energy F = |predicted - actual| phase error gates STDP plasticity.</li> <li> <strong>Multi-scale Memory:</strong> Clock oscillators (0.1s to 24h) provide temporal addressing, while standing waves in delay-lines store episodic patterns.</li> <li> <strong>Edge-Optimized:</strong> Quantized to int16 with precomputed sin/cos LUT tables (512KB footprint, runs efficiently on Raspberry Pi / mobile CPUs).</li> <li> <strong>Ethical Core:</strong> Hardcoded Kubera Dharma protocol (Ahimsa) ensuring harm-suppression via F-spikes.</li> <li> <strong>LLM Integration:</strong> Language models act purely as a Broca-like speech zone, translating thoughts without controlling decisions.</li> </ul> <h3> Source Code &amp; Documentation: </h3> <p>👉 <strong>GitHub:</strong> <a href="https://github.com/NineNi999neNine/FractalBrainOS" rel="noopener noreferrer">https://github.com/NineNi999neNine/FractalBrainOS</a></p> <p>The project is MIT licensed. I would love to hear feedback, critique, or ideas from researchers working on oscillatory neural networks and bio-inspired AI.</p> cpp ai opensource machinelearning