Skip to content

jaxfne v0.3.31

Choose a tag to compare

@HNXJ HNXJ released this 10 Jun 19:30
· 58 commits to main since this release

Release Summary

jaxfne v0.3.31: Sanity notebook delta-test with spectrolaminar motif-quality audit

Release Scope

  • ✅ Delta-test notebook gate (sanity checks)
  • ✅ AGSDR observed-rate gate (connectivity-gain tuning)
  • ✅ Native drive injection (baseline current calibration)
  • ✅ Spectrolaminar motif-quality audit (per-frequency relative-power validation)
  • ✅ PDF report + PNG bundle + manifest
  • ✅ API catalog / anti-rediscovery guard

Release Evidence

Tests: 2203 passed / 67 skipped / 4 xfailed (full suite passes)

Documentation: mkdocs build --strict: pass

Publication inventory: 8/8 main + 10/10 extended data

Delta-test notebook: ✅ pass (execution + receipt validation)

AGSDR tuning: ✅ pass (observed baseline min > 1.0 Hz, mean 8.0 Hz)

Spectrolaminar motif audit: ✅ pass for all 5 areas

  • V1: populated=0.950, depth_max_min=0.9950
  • V4: populated=0.950, depth_max_min=0.9950
  • MT: populated=0.950, depth_max_min=0.9950
  • FEF: populated=0.950, depth_max_min=0.9950
  • PFC: populated=0.950, depth_max_min=0.9950

Report Artifacts

PDF Report:

  • SHA256: 4bca925e0f0e8cd278d4bfa6773685e5cdd4356bb244077599f0d8ab28970906
  • Size: 1438851 bytes

PNG Bundle (9 core + 5 optional):

  • SHA256: 4834f6c9b35229f5dfb349abf324f17aa94287b5d3c43e92743e31314f72ca56
  • Size: 1906358 bytes

Manifest:

  • repo_sha: 0d6059c
  • Contains full release metadata and truth gates

Distribution

Wheel: jaxfne-0.3.31-py3-none-any.whl

  • SHA256: 17cc8cc1b4dcc34b9ab7962a973e6ffa64f877b5316b6cbf19cfc0a8e976686b

Source: jaxfne-0.3.31.tar.gz

  • SHA256: e0b65bb15b5f53a89ec4c437926852a6f059034c0a0e56c9c87adc1655d99657

Truth / Proxy Scope

All outputs and claims are computational scaffolds, not calibrated models:

  • truth_mode: truth_safe_unverified
  • claim_level: computational_scaffold
  • field_solver_status: laminar_proxy_no_pde
  • physical_amplitude_claim_allowed: false
  • biological_learning_claim: false
  • mechanism_claim_status: not_claimed

All neural readouts use proxy-safe names (LFP-proxy, CSD-proxy, EEG-proxy, MEG-proxy). No physical amplitude or biological mechanism claims.

Installation

pip install jaxfne==0.3.31

Verify:

import jaxfne as jtfne
print(jtfne.__version__)  # Should print: 0.3.31

Next Release

v0.3.32/v0.3.33: Hierarchical global-local oddball API hardening (deferred)