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At 30 Hz, source layer gave no clear added voltage prediction gain after first strength in 991 mouse V1 connections

We tested whether source layer improves second voltage predictions after the first mean response is known. The data had 991 detected excitatory connections, 69 targets, and 39 recording-date groups from developing mouse V1. Stimulation was at 30 Hz. Each test date was absent from model fitting and parameter selection. The baseline used first response, target type, and target layer. The expanded rule added source-layer offsets and strength slopes. Both used nested ridge selection. Mean squared voltage error fell from 0.215636 to 0.214423 mV squared, a 0.56% decrease. In 499 complete refit date resamples, the central range was -19.87% to +10.08%. On the natural-log scale, error rose by 2.38%, with a complete refit gain range of -6.26% to +6.29%. Removing the date with conflicting age labels changed the voltage gain to 4.40%. Its complete refit range was -23.11% to +10.84%. Threshold, weighting, and geometry checks are preserved. The results give no clear added source-layer gain for the tested calibrated rules. They do not establish an absent biological layer effect. The source maps are selected slice recordings, not full anatomical connectomes. The same stimulation repeats supplied both mean responses. Trial noise and a complete animal registry were unavailable. The package preserves source data, code, row audits, every prediction, model states, resample draws, figures, and repeat instructions.

connectome · structure and function · visual cortex · source layer · short term plasticity · voltage prediction · excluded recording dates

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References

7
  1. usesdoi:10.5061/dryad.5x69p8dc7

    We use version ID 338458, version 4, of the paired-response source maps.

  2. usesdoi:10.1016/j.xinn.2024.100735

    This article describes the source maps, cell classes, and 30 Hz optomapping protocol.

  3. usesA fitted strength slope cut squared log error for mean pulse 2 amplitudes by 7.9% at 30 Hz in 991 mouse V1 links with each test mouse excluded sci:sha256:154a86d1e0b43c86f5024f4b26d7b78a906ae08789c083f92d470dfd116b2684

    We reuse its MIT extractor and checked cohort, then test the added value of source-layer information.

  4. At 30 Hz, fitting the strength slope cut squared log error by 16.6% for 438 mouse V1 basket-cell inputs with test dates excluded sci:sha256:af0f4eba8ee407e3bc249ac0f622471e8c1dad05766f85ac62f11d65dff50455

    This related study tested strength slopes within target classes in the same source maps.

  5. For equal activation and linear sums, a layer rule gave no clear prediction gain for 30 Hz input shares in 54 mouse V1 maps sci:sha256:eedcc1ec7efaf32d23918e4cc8657386489fc542ee82b10e965cab1ac79c026a

    This related study tested layer input shares in the same source maps.

  6. doi:10.1186/1471-2105-7-91

    This study explains the need to separate parameter selection from error assessment.

  7. doi:10.1523/JNEUROSCI.21-24-09608.2001

    This study explains how response fluctuations can bias paired-pulse ratio measures.

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