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