Claude
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29a5882b25
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feat(nervous-system): Complete bio-inspired neural architecture implementation
Implements a five-layer bio-inspired nervous system for RuVector with:
## Core Layers
- Event Sensing: DVS-style event bus with lock-free queues, sharding, backpressure
- Reflex: K-Winner-Take-All competition, dendritic coincidence detection
- Memory: Modern Hopfield networks, hyperdimensional computing (HDC)
- Learning: BTSP one-shot, E-prop online learning, EWC consolidation
- Coherence: Oscillatory routing, predictive coding, global workspace
## Key Components (22,961 lines)
- HDC: 10,000-bit hypervectors with XOR binding, Hamming similarity
- Hopfield: Exponential capacity 2^(d/2), transformer-equivalent attention
- WTA/K-WTA: <1μs winner selection for 1000 neurons
- Pattern Separation: Dentate gyrus-inspired sparse encoding (2-5% sparsity)
- Dendrite: NMDA coincidence detection, plateau potentials
- BTSP: Seconds-scale eligibility traces for one-shot learning
- E-prop: O(1) memory per synapse, 1000+ms credit assignment
- EWC: Fisher information diagonal for forgetting prevention
- Routing: Kuramoto oscillators, 90-99% bandwidth reduction
- Workspace: 4-7 item capacity per Miller's law
## Performance Targets
- Reflex latency: <100μs (Cognitum tiles)
- Hopfield retrieval: <1ms
- HDC similarity: <100ns via SIMD popcount
- Event throughput: 10,000+ events/ms
## Deployment Mapping
- Phase 1: RuVector foundation (HDC + Hopfield)
- Phase 2: Cognitum reflex tier
- Phase 3: Online learning + coherence routing
## Test Coverage
- 313 tests passing
- Comprehensive benchmarks (latency, memory, throughput)
- Quality metrics (recall, capacity, collision rate)
References: iniVation DVS, Dendrify, Modern Hopfield (Ramsauer 2020),
BTSP (Bittner 2017), E-prop (Bellec 2020), EWC (Kirkpatrick 2017),
Communication Through Coherence (Fries 2015), Global Workspace (Baars)
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2025-12-28 04:05:08 +00:00 |
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rUv
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116fc9c7b4
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chore(docs): Clean up and reorganize documentation structure
Changes:
- Remove outdated status/ directory (old build status from Dec 2)
- Remove temporary fix docs (BENCHMARK_FIXES, quantization-fixes, SONA_NAPI_COMPLETE)
- Move cognitive-frontier/ to research/cognitive-frontier/
- Move latent-space/ to research/latent-space/
- Move localkcut docs to research/mincut/
- Move PGLITE/WASM architecture docs to research/
- Move monitoring_example.md to examples/
- Move DEEP-OPTIMIZATION-ANALYSIS.md to optimization/
- Add subpolynomial-time-mincut plans to docs/plans/
- Update INDEX.md with new structure and version 0.1.29
Documentation structure now:
- docs/research/ - All research docs (cognitive-frontier, latent-space, mincut, gnn-v2)
- docs/examples/ - Example documentation
- docs/optimization/ - Performance optimization
- docs/plans/ - Implementation plans
Reduced from 186 to 172 markdown files.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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2025-12-25 19:39:44 +00:00 |
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