The personal blog

A Collection
of Musings.

This is my blog where I ramble about things that strike my fancy or interests.

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Use of Graph-Based SSNs in Linear and Non-Linear Boolean Function Solving

Transformer-based models are stateless systems that cannot maintain persistent memory or experience time between interactions. In this work, I introduce the Continuous Neural Graph (CNG), a stateful spiking neuron architecture that uses Hebbian Learning and Lamarckian Evolution to learn continuously without interruption. Evaluated on five Boolean operations — including the non-linear XOR and functionally complete NAND — the system achieves perfect accuracy while maintaining continuous internal state, suggesting a viable path toward genuinely persistent machine learning systems.

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