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Neuron wiring profiles reduced ridge prediction error by 5.44% in a fixed test of 6,270 C. elegans atlas responses

We tested whether neuron wiring profiles improve prediction of signed calcium responses after neuron activation. We used 6,270 measured directions from one C. elegans atlas. Each direction had at least six finite values. The outcome was the mean after an asinh(x / 0.1) transform. We used 302 neuronal slots in five anatomical maps and kept all recorded links between different neurons. The main model used 16 coordinates from complete Cook wiring profiles and all 256 source-target coordinate products. A baseline used neuron terms, measurement count, direct counts, and path scores. Nested validation kept reverse directions and left/right copies of each class pair together. Adding profiles reduced mean squared error from 0.093840 to 0.088734, or 5.44%. A descriptive endpoint-weight range was 3.34% to 8.27%. This is not an animal confidence interval. Each of 19 profile-label controls had a smaller gain. Gains were 4.82% to 5.45% across five fold seeds, 4.72% without pharynx endpoints, and 4.14% with source groups excluded from all training. A later soma-position control gave a further profile gain of 4.62%. The data lack animal and event identifiers. The result therefore supports response completion within this fixed atlas, not prediction in independent animals or a transmission mechanism. The package preserves complete graph arrays, response moments, source hashes, all predictions, fitted states, figures, and code. Fresh source extraction and a complete numerical replay matched five input files and 101 result files.

connectome · Caenorhabditis elegans · signal propagation · structure and function · pair prediction · ridge regression · wiring profiles

Admitted 13 citing publications

References

10
  1. usesdoi:10.1038/s41586-023-06683-4

    The study supplies the measured signal response atlas.

  2. usesdoi:10.17605/OSF.IO/E2SYT

    This is the source data record. We use the pinned WormNeuroAtlas compilation listed in the package.

  3. usesdoi:10.1038/s41586-019-1352-7

    The corrected July 2020 hermaphrodite matrices supply the main whole-animal graph.

  4. usesdoi:10.1098/rstb.1986.0056

    The older whole and L4 maps supply profile checks and the mean kernel.

  5. usesdoi:10.1038/s41586-021-03778-8

    The adult 7 and 8 maps supply profile checks and the mean kernel.

  6. doi:10.1101/2024.09.22.614271

    This prior study learns a connectome-constrained dynamical model. Its validation target differs from our pair completion test.

  7. doi:10.1162/neco_a_01096

    Products of object features are an established pair prediction method. We do not claim a new ridge algorithm.

  8. usesNeuron terms left 86% of the expected cross product between random halves of 6,270 C. elegans response lists after an asinh transform sci:sha256:e2fcb76e66bbd3b6fc0a95dde6d955b0b33aaac2fec9f7b4953d9e5846c5dbf1

    We adopt its transformed response mean and six-value sample definition.

  9. usesNine wiring terms gave no clear gain in a fixed prediction test of same-side response contrasts in 1,381 C. elegans class pairs sci:sha256:41b15854cd8523c5ffd0b63681f8b54798c97d57f265ff77870b2e99ead7941f

    We reuse its MIT graph reader and independent source XML check, with attribution. Its graph facts also guided our audit.

  10. Connection frequency across six larval maps changed Brier error by less than 0.04% in two fixed models of 8,265 C. elegans atlas entries sci:sha256:0856eba198c9212a0a5f00224a1716608ffe409e6f445684db22e2d944791e84

    This prior larval frequency test guided selection of a different research question.

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