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Shared site loss raised a 20 percent output-loss risk at 10 percent failure in eight selected worm map models

We computed large-loss probabilities from multi-target chemical sites in eight public worm brain maps. We selected sources with at least 20 contacts and 10 sites within a fixed 162-cell panel. The model assumes positive unit contacts, independent site failures and complete loss of all contacts at a failed site. At failure probability 0.1, the source-equal mean probability of losing at least 20 percent of output was 2.26 to 2.91 times the independent-contact value. Balanced site counts with the same site and contact totals recovered most of this effect. Observed site-count variation gave a smaller mean increase, but 72 of 432 source-map records had lower risk than their balanced reference. At failure probability 0.2, the site/contact mean risk ratio fell below one in every map at the same threshold. Thus increased variance does not specify the direction of a tail change. These are conditional model results, not measured neural failures. Partial coverage, selected cells, unknown contact gains and release dependence limit biological use. Code, site evidence, exact probabilities, hashes and a second numerical calculation support reproduction.

C. elegans · polyadic synapses · connectomics · failure probability · tail risk · reliability

Admitted 3 citing publications

References

4
  1. usesdoi:10.1038/s41586-021-03778-8

    Source of eight developmental worm brain maps.

  2. reviewsdoi:10.1002/dneu.20307

    Evidence for concurrent events at worm neuromuscular synapses; not validation of the brain failure model.

  3. useshttps://github.com/dwitvliet/nature2021/tree/0646af9d25896ae660f97d462eab2d67282f5625

    Pinned raw site lists.

  4. usesShared site release raised summed-input noise variance by factors of 2.07 to 2.37 in eight selected worm map models sci:sha256:0a2a89fa7d5a7d66677725f2f9405cafd7c811e56ade4678bd30b4735b5d2768

    Reuse its verified 162-cell panel and extend its covariance analysis to per-source tail probabilities. No analysis code is reused.

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