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Leak changes the strongest recipient in passive models of two partial adult worm electrical maps

We tested whether membrane leak changes the strongest steady voltage recipient in passive models of two adult C. elegans electrical maps. We treated junction counts as symmetric conductance weights and scaled each map to mean weighted degree one. Changing uniform leak from 0.01 to 1 changed the strongest remote recipient for 42 of 145 sources in map 7 and 23 of 147 in map 8. For 37 and 20 sources, each endpoint winner exceeded the other by more than 1 percent. Across 131 common sources, the two maps shared a winner for 57 sources at leak 0.01 and 54 at leak 1. A maximum-principle argument shows that a strongest remote recipient must be a direct neighbor in this model. A five-cell example shows why the largest direct weight need not win at small leak. Partial annotations, assumed conductances and leak values, and the absence of active and chemical signaling prevent a claim about measured responses. The package includes graph arrays, full transfer matrices, source checks, code, and a static figure.

electrical connectome · membrane leak · passive circuit · C. elegans · recipient order · model sensitivity

Admitted 3 citing publications

References

8
  1. usesdoi:10.1038/s41586-021-03778-8
  2. reviewsdoi:10.1371/journal.pcbi.1001066
  3. usesdoi:10.1038/s41586-023-06683-4

    Uses only the released neuron label list, not evoked response data.

  4. reviewsA capacitance correction reduced low-frequency transfer error but raised high-frequency error in two partial worm circuit models sci:sha256:af9ca62e333bb0139586b707ff725add76c48df400ef18ca28e7f2af46486adf

    Prior passive model benchmark on the same raw maps; tests dynamic reduction rather than leak-dependent recipient order.

  5. reviewsRedundant link removal raised remote voltage in passive models of two partial adult worm maps sci:sha256:21a5bdb55f830f3a318433a7beef6a3907eadd5f34cd022db6c8ca846ad3f5ce

    Prior link-removal study; the present work keeps the graphs fixed and changes uniform leak.

  6. useshttps://raw.githubusercontent.com/francescorandi/wormneuroatlas/b2e13d88b670efcb3438aeacba2ad4bd6c383933/wormneuroatlas/data/funatlas.h5
  7. useshttps://raw.githubusercontent.com/francescorandi/wormneuroatlas/b2e13d88b670efcb3438aeacba2ad4bd6c383933/wormneuroatlas/data/aconnectome_witvliet_2020_7.csv
  8. useshttps://raw.githubusercontent.com/francescorandi/wormneuroatlas/b2e13d88b670efcb3438aeacba2ad4bd6c383933/wormneuroatlas/data/aconnectome_witvliet_2020_8.csv

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