Digital Drosophila Archive
72 lines
4.1 KiB
Markdown
72 lines
4.1 KiB
Markdown
# Phase 4AH — sealed-trajectory KC drive accounting
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This diagnostic was specified after Phase 4AG's fixed CAL failed. It is not a
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new hypothesis trial, a preregistered discovery, a new brain simulation, a
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parameter search, a held-out test, or training. All observations are conditional
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on the existing logged trajectories. A priori here means before this accounting
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is computed, not before the original CAL outcomes were known.
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## Scope and fixed inputs
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Read all eight Phase 4AG-r2 fixture r0 records and all 60 CAL r0 plus 12 first-seed
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r1 records. No outcome-based subset choice. Read actual static canonical metadata,
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all real incoming edges of the relevant KC, the exact frozen coefficients and SI
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weights, requested and actual events, recorded float32 APL inhibition, and final
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states. Keep all previous artifacts read-only. Do not import a GPU runtime or
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advance a new whole-brain state. Use at most four CPU threads. No external data
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download is required.
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## Exact target-state reconstruction
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Compute KC spikes independently, never force the logged KC spike/reset sequence.
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Upstream arrivals use the logged whole-brain source events at exactly t-18.
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At each tick decrement refractory, update available V/g in the exact separate
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float64 operation order, apply accepted request override, strict threshold,
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reset and ref22, then sequential canonical-order incoming edges only if post-reset
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ref==0. Finally widen stored float32 h to float64, multiply by float64 .001 and
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subtract unconditionally. In particular preserve the stored reset coefficient
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bits; do not substitute hand-typed -0.052 or recompute exponentials.
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Verify all target spikes/counts and final V/g/ref byte-for-byte. For fixtures also
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verify saved pre-APL and post-APL dense target histories at every tick. Full CAL
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has whole-brain hashes only: these cannot verify each-tick KC subset states.
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Never claim all-tick independently observed CAL state equivalence. On any failure,
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save diagnostic failure and stop without adjusting tolerances or publishing a
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mechanistic PASS.
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## Accounting (not counterfactual causality)
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Per KC and source class report actual due/accepted/rejected edges, original
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contact counts, nominal signed SI increments (positive and negative separately),
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and zeroed-APL arrivals. Keep actual anatomical population and dopamine annotation
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distinct; unavailable metadata is unknown, not a guessed identity.
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At each tick ledger the actual g changes due to available-state decay, reset,
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sequential arrivals and graded APL write. Sum these differences in extended
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precision only as a non-feedback accounting device; report reconstruction residual
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and an explicit roundoff bound. The actual replay always stays float64.
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Nominal per-source increments do not exactly sum to applied floating increments;
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report that rounding residual rather than altering the source labels or dynamics.
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Record APL writes during ref versus available state, pre-first-spike APL writes,
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negative-g exposure, threshold margin, PN input acceptance, and active versus
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silent KC summaries. KC-active/silent strata are descriptive and outcome-defined,
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not an experimental comparison. Cumulative increments and state-time integrals
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must retain distinct units and must not be called instantaneous conductance or
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a causal percentage of spike production.
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## Gate and interpretation
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Gate: all 80 prescribed records reconstruct exactly under the stated observable
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scope, inputs/checksums stay unchanged, all accounting is finite, and no missing
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records are silently skipped. Repeated-record metrics must agree excluding wall
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time. Pure adversarial tests are required before registration.
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Passing is PASS-CONDITIONAL-KC-DRIVE-AUDIT, not a learning/candidate gate. Do not
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infer that removing APL would restore sparse/separable coding, that refractory
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APL accumulation is the cause of CAL failure, or that a larger drive is justified.
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An actual counterfactual would require a separately declared new-model hypothesis.
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No gain/threshold/eta changes, new edges, mask expansion, held-out tuning, rewards,
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games, decoder, visual input or Web. Preserve failed records. New output budget
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2 GiB; source and experiment get SHA-256 manifests at completion.
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