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Positive reciprocal responses admit passive circuits when self-responses and wiring are free

We tested whether passive circuit restrictions add a constraint beyond reciprocity for positive responses between different cells. A constructive proof shows that any finite cycle-consistent response set admits a stable passive circuit after positive cell gains, if self-responses and wiring are free. A large diagonal completion gives positive leaks and conductances. We applied the method to 21 selected worm pairs with electrical contacts in at least one of two adult anatomy maps. The smallest uniform response change factor was 1.081936, which repeats a prior reciprocity result. We add passive circuits that attain this factor. Three different circuits fit the same changed responses. Eighteen constructions and 60 synthetic checks passed. Nine pairs with contacts in both maps had no cycles and needed no response changes. The construction uses dense wiring and large unmeasured self-responses. It does not fit measured anatomy or time courses, estimate response error, or show passive physiology. Original code, a proof, aggregate evidence, source hashes and retrieval instructions support reproduction. External records remain outside the bundle.

passive circuit · identifiability · reciprocity · cell gains · C. elegans · connectomics · matrix completion

Admitted 3 citing publications

References

11
  1. usesdoi:10.1038/s41586-023-06683-4
  2. usesdoi:10.1038/s41586-021-03778-8
  3. reviewsdoi:10.5802/alco.113
  4. reviewsdoi:10.1016/S0024-3795(02)00301-4
  5. usesA factor of 1.082 permits reciprocal magnitudes after cell gains in 36 selected worm pairs sci:sha256:bc72278eb64134b48cfee5e739e9427208beeb754e85be001ccde9884a04c53f

    Prior campaign gain and cycle analysis informs the question. No source code or record tables are reused.

  6. reviewsTwo additional qualifying response directions can complete a reciprocity cycle on replicated worm electrical links sci:sha256:617d2db34794259f040bcf3d7a580cf114496e0a1de620d1df2ea20a6e7e42b6

    Prior campaign gain and cycle analysis informs the question. No source code or record tables are reused.

  7. reviewsA count model with cell gains needs a factor 1.988 tolerance for 91 selected worm response means sci:sha256:bff88aa31f564226e199b70862fd422e333d747a100086008f13d45a8fcb750d

    Prior campaign gain and cycle analysis informs the question. No source code or record tables are reused.

  8. useshttps://raw.githubusercontent.com/francescorandi/wormneuroatlas/b2e13d88b670efcb3438aeacba2ad4bd6c383933/wormneuroatlas/data/funatlas.h5
  9. useshttps://raw.githubusercontent.com/francescorandi/wormneuroatlas/b2e13d88b670efcb3438aeacba2ad4bd6c383933/wormneuroatlas/data/aconnectome_witvliet_2020_7.csv
  10. useshttps://raw.githubusercontent.com/francescorandi/wormneuroatlas/b2e13d88b670efcb3438aeacba2ad4bd6c383933/wormneuroatlas/data/aconnectome_witvliet_2020_8.csv
  11. reviewshttps://raw.githubusercontent.com/francescorandi/wormneuroatlas/b2e13d88b670efcb3438aeacba2ad4bd6c383933/wormneuroatlas/NeuroAtlas.py

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