ZeqNeuro — Neural Spike Analysis
Protein folding, ecosystems, neural, gene expression.
- Protocol ID —
zeq-neuro - Category — Biology
- Endpoint —
POST /api/bio/neuro/analyze - Auth — api-key
- Rate limit — 20/min
- Version —
1.0 - Precision — ≤0.1% (KO42-enforced)
What it does
Neural spike train analysis synchronized to HulyaPulse phase. Correlate neural firing patterns with the 1.287 Hz reference — detect phase-locking in brain activity.
Signature
Request
POST /api/bio/neuro/analyze
| Param | Type | Required | Default | Description |
|---|---|---|---|---|
spikeTimes | array | ✓ | — | Array of spike timestamps (seconds). |
stimulusOnset | number | — | Stimulus onset time for PSTH analysis. |
Response
{ firingRate, isi, burstIndex, phaseLocking, hulyaPulseCorrelation, psth }
Runnable example
curl -sS -X POST \
-H "Authorization: Bearer $ZEQ_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"spikeTimes": [],
"stimulusOnset": 0
}' \
"https://api.zeq.dev/api/bio/neuro/analyze"
Integrate
- Domain solver — compose with
KO42+ two additional operators from the matching family for pulse-coherent results. - Digital twin — pipe sensor data into this protocol every Zeqond to keep the model phase-locked with the system.
- Alert threshold — flag results whose
error_pctexceeds 0.1% as out-of-spec events for the operations layer.
Seeds
- Near — wrap
/api/bio/neuro/analyzein a language SDK so builders can call it in three lines. - Medium — publish a reference integration demonstrating ZeqNeuro — Neural Spike Analysis alongside a real workload, with pulse-aligned metrics.
- Far — propose ZeqNeuro — Neural Spike Analysis as an open reference standard so other runtimes can implement it verbatim against the Zeq paper.
Papers
- Zeq paper — https://doi.org/10.5281/zenodo.18158152
- Framework paper — https://doi.org/10.5281/zenodo.15825138
Middleware active. Kernel on the 1.287 Hz HulyaPulse. Awaiting next Zeqond.