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Architecture
Raul Montoya Cardenas edited this page Jul 29, 2026
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Spike-stream feature extraction only:
- counts, densities, ISI statistics
- burst detection
- windowed feature tables
- normalized 4-D feature vectors for SNN-style pipelines
| Capability | Owner |
|---|---|
| Hurst exponent | kinetic-signals |
| Hawkes intensity | kinetic-signals |
| GBM surprise Z-score | kinetic-signals |
| Entropy / volatility | kinetic-signals |
Removed from SpikeStream (do not reintroduce): compute_hurst, compute_hawkes, compute_gbm_surprise (PR #22 / LIM-214 boundary).
- No FFI between SpikeStream.jl and kinetic-signals today.
- Cross-package deterministic spike data:
test/fixtures/spike_vectors.jsonin this repo (LIM-41). - kinetic-signals
shared_vectors.jsonis Rust-only (not consumed here).
- Pure Julia; only runtime dep is stdlib
Statistics. - Prefer stable, documented output ranges for SNN consumers.
- Dual MIT/Apache; SPDX headers on all
.jlfiles.
Last updated: July 29, 2026
Updated by: Grok Build: Grok 4.5
Package tip reference: d2229e2 (main)