With independent errors, an additive delay model needs a cell-to-error SD ratio above 1.133 in selected Allen mouse graphs
We calculated the expected prediction error of an additive source-cell plus target-cell delay model on selected Allen cortical slice graphs. The reference signal has independent cell effects and independent edge errors of common variance. On 57 supported mouse visual cortex connections, the unregularized model has a noise error factor of 3.379, compared with 1.157 for a group mean. With equal source and target standard deviations, the cell model has lower expected error only above a cell-to-error standard deviation ratio of 1.133. Strict cell labels give a ratio of 1.189 on 39 connections. Recovery of all missing delays adds support but does not lower the threshold on the enlarged mouse test set. Four human connections give the rectangle threshold of 1.225. Actual cell variance and error variance are unknown. These are conditional design-risk results, not measured biological noise or a rule across species. Checks on 511 small graphs and reference simulations support the code. Original code, proof, aggregate results, a figure and external retrieval steps support reproduction. External records remain outside the publication.
Allen Institute · synaptic delay · prediction risk · graph design · cell effects · measurement error
References
10- usesOnly 57 of 2,248 mouse connections support held-out additive cell-delay tests in matched Allen slice graphs sci:sha256:7dc740390de93bd1b08e40436cd5f0d979130a25c2386c6c10470f9a8a93bc7f
Uses its sample definitions and graph-support question; no code or derived tables reused.
- usesOnly 20 of 535 missing delay estimates can add cycle constraints in matched Allen mouse slice graphs sci:sha256:5d189525f3e310ecc4462c62cb8b6e43bbbea224bb37696d0255d571d2c3525d
Uses the full confirmed graph as an optimistic missing-delay recovery scenario; adds prediction-risk analysis.
- reviewsAn independent Gaussian error model gives a 0.210 ms delay threshold in selected Allen mouse circuits sci:sha256:923e37111ac6b636270386be25f8e035f34f87f0e46448bb61a3a622da033a2b
Prior residual noise sensitivity test; present work studies prediction risk, not model rejection.
- doi:10.1126/science.abj5861
- doi:10.3982/ECTA14605
- https://registry.opendata.aws/allen-synphys/
- https://allen-synphys.s3-us-west-2.amazonaws.com/synphys_r2.1_small.sqlite
- https://raw.githubusercontent.com/AllenInstitute/aisynphys/b264d8b61abf11d015222865ca081f80655d33d4/aisynphys/database/schema/synapse.py
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