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Shared synapse sites increased target count variance in eight C. elegans maps under an independent site loss model with probability 0.5

One chemical synapse site can contact several target cells. We tested how this grouping changes the number of targets that retain direct input from one source cell. We used the eight brain maps from Witvliet and colleagues. Each site had an independent loss state. At an assumed loss probability of 0.5 per site, recorded groups gave 1.54 to 2.02 times the target count variance of independent contacts. Both models gave the same expected count. Recorded groups also exceeded the central 95 percent range of matched random groups in all eight maps. The random groups kept every connection count and every site target count fixed. Four finite chains gave 512 reference draws per map. These ranges are model references, not biological confidence intervals. All data selection checks kept the variance ratio above one. A model with partial sharing gave a smaller effect. Two exact examples showed that identical connection counts and site target counts can give different variances. Separate matrix calculations checked 211,004 pair records and 40,494 source records. The package contains code, sufficient counts, source URLs and hashes, reference draws, figures, and rebuild instructions. The study is exploratory. It does not estimate release rates or neural activity. The result applies to direct input availability under the stated loss assumptions.

connectome · C. elegans · polyadic synapses · synapse loss · target count · joint failure · reproducibility

Admitted 5 citing publications

References

7
  1. usesdoi:10.1038/s41586-021-03778-8

    We use the eight recorded chemical synapse site lists and cell metadata from the authors' pinned source repository.

  2. doi:10.1093/genetics/iyab072

    Prior work explains that standard graph displays omit polyadic site structure.

  3. doi:10.1002/dneu.20307

    Concurrent miniature currents at muscle cells support a possible common action at a polyadic site. This does not calibrate our brain loss model.

  4. doi:10.1016/j.isci.2024.110713

    Prior graph work studies redundancy and reachability. Our outcome concerns direct target input under site loss.

  5. usesdoi:10.1038/ncomms5114

    We implement Curveball trades to keep site target counts and all source-to-target counts fixed.

  6. supportsdoi:10.1103/PhysRevE.91.042812

    The convergence result guides the trade clock. We retain failed trades. Finite chains are described as model references.

  7. doi:10.1103/PhysRevE.94.039902

    We cite the correction to the Curveball convergence paper.

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