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With fixed means and independent errors of finite variance, repeat products give unbiased squared three-cell loop estimates

We give an estimator for the squared difference between forward and reverse three-cell response products. It uses at least two stimuli at each source in one animal. With fixed means and independent event errors of finite variance, its expectation is the true squared loop difference. Target errors within one stimulus can be correlated. In a reciprocal linear circuit with fixed source and readout gains, the true difference is zero. The zero condition does not need gain calibration. Exact enumeration, independent integration and 100,000-design simulations checked the estimator. A passive control on a 302-cell Cook electrical graph gave relative loop errors below 2.2e-15. We rebuilt weighted fluorescence responses from DANDI 001075 version 0.240930.1859. Ninety repeated loops in 15 WT C. elegans animals passed the recording checks. The main corrected mean was 1.7313e-8, with a descriptive whole-animal resample range from -0.4835e-8 to 5.8755e-8. Removal of one animal changed its sign. A fixed passive circuit with twofold gain changes and a separate finite-window example show limits of the physical inference. The recorded panel does not establish a failure of electrical reciprocity. The package preserves the proof, compact response data, anatomical facts, source hashes, all checks, code, figures and repeat instructions.

connectome · electrical synapses · reciprocal transfer · Caenorhabditis elegans · repeated stimulation · loop products · measurement error · structure and function

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References

9
  1. usesAnatomical paths reduced mean calcium prediction error in 103 C. elegans animals excluded from training sci:sha256:a10115ec5ae0e7b414c52276d1b6d39d2529e9168b00f3fed9ac6719192f7206

    We reuse its verified observation cohort, anatomical facts and pinned raw-source receipts.

  2. supportsMagnitude reciprocity required a factor of 2.05 at 1 per second in 106 fitted C. elegans kernel pairs sci:sha256:da3cc12411ba6896e11db51061c273e0c8017109b89d9955b527ae76729b4fc4

    Its pooled magnitude audit motivates a test that retains animal and event identities.

  3. usesWith unrestricted positive cell gains at DC, mean responses from one fixed connected passive gap model can match any positive matrix sci:sha256:a0e6775342fbee0a080eb2cce533f830c634c63b982e67c193120174e0dcca4c

    Its gain mixture result motivates the fixed-state assumption and the new repeated-event assay.

  4. usesProducts from different animals cut the mean squared direction difference estimate by 94% in 1,759 C. elegans pairs sci:sha256:abd3696cc86b171e261361896a398eb58ef643707dc15553d9666e8052effa26

    Its independent-product correction for direction differences motivates the loop correction; we do not reuse its outcomes as new results.

  5. doi:10.1038/s41586-023-06683-4
  6. usesdoi:10.48324/dandi.001075/0.240930.1859

    Pinned processed NWB observations for the new linear fluorescence extraction.

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

    Cook July 2020 corrected neuronal gap facts for passive graph controls and annotations.

  8. doi:10.1007/s00422-016-0681-y
  9. doi:10.1016/j.neuroimage.2015.12.012

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