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| author | YurenHao0426 <Blackhao0426@gmail.com> | 2026-07-22 06:25:49 -0500 |
|---|---|---|
| committer | YurenHao0426 <Blackhao0426@gmail.com> | 2026-07-22 06:25:49 -0500 |
| commit | fe52db7f66db34045a178a793fcc7daf3413aea0 (patch) | |
| tree | 7ed19fd258be5ba357845ff807c47c880cf172bb | |
| parent | 94fc8471c515fb0baacc0aa79d4a47f539858e57 (diff) | |
docs: record oral bar branch outcomes
| -rw-r--r-- | ROADMAP.md | 15 |
1 files changed, 15 insertions, 0 deletions
@@ -310,6 +310,13 @@ checks depth, width, K, sigma, and predictor timescale deterministically; all as ## Oral bar B: biological bridge +**Status: development gate failed and confirmation is closed.** The complete +36-run preregistered screen is reported in `ORAL_B.md` and `RESULTS.md`. Local +learning, residual decorrelation, outcome decoding, and the plasticity lesion +were positive, but all causal-role sign-inversion indices were negative and +acute online-control lesions had little effect. Seeds reserved for confirmation +were not touched. + After C1–C5 pass, test whether the model reproduces the qualitative Harnett signatures: - dendritic activity contains information absent after conditioning on somatic activity; @@ -324,6 +331,14 @@ claim is explicitly computational rather than a fit to cortical data. ## Oral bar A: standard deep architectures +**Status: mechanics and gates frozen; no image/ResNet accuracy observed yet.** +`ORAL_A.md` fixes a validation-only ResNet-20 development funnel followed, only +if it passes, by an untouched five-seed ResNet-20/32/56 test panel. The standard +BatchNorm local Jacobian and BN-coupled batch-objective perturbation estimator +both match exact numerical derivatives below `1e-6`. The alternative +translation-shared state-gated vectorizer reduces ResNet-56 feedback parameters +131x and is included prospectively alongside the full spatial template. + Prepare convolutional local-update primitives and ResNet-20/32/56 protocols early. Queue frozen runs opportunistically on authorized idle GPUs. Because BurstCCN already reports CIFAR-10 and ImageNet scaling, dataset scale alone is not novel. The oral-level target is a memorable joint |
