docs: update paper references to v5 (Zenodo 19450421)
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README.md
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ZenBrain is a 7-layer neuroscience-inspired memory architecture for autonomous AI systems. It bridges the gap between biological memory principles and practical AI system design, delivering measurable performance improvements across long-context recall, memory stability, and knowledge retrieval tasks.
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**Paper:** [ZenBrain
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## Key Results (7 Experiments)
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## Links
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- **Paper (
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- **PDF:** https://zenodo.org/records/19413933/files/zenbrain
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- **GitHub:** https://github.com/zensation-ai/zenbrain
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- **Website:** https://zensation.ai/technologie
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- **npm:** https://www.npmjs.com/package/@zensation/algorithms
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ZenBrain is a 7-layer neuroscience-inspired memory architecture for autonomous AI systems. It bridges the gap between biological memory principles and practical AI system design, delivering measurable performance improvements across long-context recall, memory stability, and knowledge retrieval tasks.
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**Paper:** [ZenBrain v5 (Zenodo)](https://zenodo.org/records/19413933) | DOI: `10.5281/zenodo.19353663`
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## Key Results (7 Experiments)
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## Links
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- **Paper (v5):** https://zenodo.org/records/19413933
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- **PDF:** https://zenodo.org/records/19413933/files/zenbrain.pdf
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- **GitHub:** https://github.com/zensation-ai/zenbrain
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- **Website:** https://zensation.ai/technologie
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- **npm:** https://www.npmjs.com/package/@zensation/algorithms
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