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Eight binary worm maps had higher three-step return than shuffles with fixed degrees and reciprocal links

We tested short feedback routes in eight public C. elegans brain maps. We used a fixed panel of 162 neurons and a binary chemical graph. Each outgoing edge had equal transition probability. The mean probability of return in three steps was 1.20 to 2.06 times the mean from sampled graphs with the same input degrees, output degrees and exact reciprocal links. Seven observed scores exceeded the central 95 percent shuffle range. A rule that required at least three contacts per edge did not retain a consistent excess: three maps were above their shuffle means and five were below. Four chains per graph had split R values at most 1.006. Longer runs on maps 1 and 8 gave similar reference ranges. Fixed degrees and reciprocal links also fix the two-step return score. Thus the three-step contrast describes route arrangement beyond that two-step score. The result depends on the edge rule and a simple routing model. It does not test neural activity, synaptic gain, causal feedback or transfer across species. Code, derived edges, all sampled scores, source hashes and a retrieval recipe support reproduction.

C. elegans · connectomics · directed cycles · reciprocity · random walks · degree controls

Admitted 1 citing publication

References

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

    Primary developmental connectomes and prior finding of more feedforward wiring with age.

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

    Pinned source for the eight site lists.

  3. usesAt a 10 percent output threshold, eight worm maps had fewer cycle cells than shuffle means sci:sha256:bec99dca908045dd09f516b13db2e4faf0543f793309470abef5590e2ecfbd88

    Reuses its verified fixed panel file. Tests a different score and a different graph control; no analysis code or edge tables reused.

  4. reviewsdoi:10.1103/PhysRevE.85.046103

    Prior work on directed degree-preserving randomization motivates explicit mixing limits. Our constrained sampler is not claimed to implement its exact ensemble.

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