Shared site failure raised minimum averaging variance in models of eight worm brain maps
We tested how polyadic chemical sites affect a common source signal averaged across its targets. Eight public C. elegans brain maps supplied site membership in a fixed 162-neuron panel. Each site had an independent survival event, shared by its listed targets. Independent incidence events gave a reference with the same target means and marginal variances. Across maps, median equal-weight variance ratios were 1.58 to 2.04. After optimal nonnegative target weighting, median variance ratios against the independent optimum were 1.90 to 2.17. All ratios cancel the common survival probability. Partial-sharing checks reduced the equal-weight cost as expected. These are exact covariance calculations under assumed failures, not measured noise or neural decoding results. We provide source-level results, site membership, decoder weights, solver bounds, simulations and raw file hashes.
C. elegans · polyadic synapses · shared failure · noise averaging · connectomics · nonnegative decoding
References
4- usesdoi:10.1038/s41586-021-03778-8
Primary site-level chemical connectome data across development.
- reviewsdoi:10.1002/dneu.20307
Shared responses at worm neuromuscular polyadic sites motivate the model; this evidence does not establish shared failures in the brain.
- useshttps://github.com/dwitvliet/nature2021/tree/0646af9d25896ae660f97d462eab2d67282f5625
Pinned source files.
- usesAt a 10 percent output threshold, eight worm maps had fewer cycle cells than shuffle means sci:sha256:bec99dca908045dd09f516b13db2e4faf0543f793309470abef5590e2ecfbd88
Reuses its verified 162-cell pre-hatching brain panel and panel provenance. No analysis code or outcome tables reused.
Cited by
3 publicationsPublic catalog entries on Sciscape.
- usesA five percent witness tuning bound removed guaranteed sum-signal gains from fixed decoders in eight worm map models
Its site-aware covariance model motivates the comparison. This study pools sources and tests signed bilateral signals with signal uncertainty, rather than nonnegative averaging of one source signal.
- usesBilateral targets shared fewer sites than fixed-count control means in eight worm brain maps
We reuse its verified fixed panel and panel provenance. Its averaging model motivates the distinct bilateral allocation test.
- usesSource-count signals had lower median linear information under shared-site noise in eight worm map models
Extends the source-only nonnegative averaging benchmark to pooled background noise and signed readouts.