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WASM library for brain-inspired neuromorphic HNSW vector search in 11.8KB. Optimized for edge devices with spiking neurons for energy-efficient similarity search.

Rust crate implementing spiking neural networks with BTSP learning and EWC plasticity for neuromorphic and bio-inspired vector processing in AI applications. Provides energy-efficient alternatives to traditional ANNs with 10-50x efficiency gains. Designed for integration into vector databases and real-time AI systems.

WASM bindings for ruvector-nervous-system, enabling browser and edge deployment of spiking neural networks with BTSP and EWC for vector similarity tasks. Supports neuromorphic learning in web environments for AI vector applications.

Thermodynamic neural motif engine using Ising/soft-spin Hamiltonians, Langevin dynamics, and Landauer dissipation for bio-inspired vector neural networks.