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Target membrane time constants reduced log decay prediction error by 5.1% in a fixed ridge test of 650 mouse cortical connections

We tested whether a target cell membrane time constant helps predict the decay of a measured synaptic voltage response. We used the Allen Synaptic Physiology r2.1 small database. The main panel had 650 mouse V1 connections from 233 inferred donor groups. A nested ridge test excluded whole donor groups from training. The baseline used current kinetics, cell labels, and distance. Adding target membrane time reduced squared log decay error from 1.30508 to 1.23884, or 5.08%. A 10,000-draw donor range with predictions fixed was 0.47% to 9.45%. A later 1,000-draw check that refit the models gave a range from 0.0011% to 9.35%; the lower endpoint was effectively zero at this precision. On the same 644 connections, the gain fell from 4.73% to 0.86% after input resistance adjustment. The refitting range for the adjusted gain was -1.11% to 2.80%. A secondary human panel of 172 connections gave a gain of -0.04%. Removing fits near default limits gave an uncertain mouse gain. All selected stored kinetic fields matched accepted component-fit aggregation exactly. These results concern selected local recording graphs and a fixed model family. They do not establish a general membrane mechanism or a species effect. The package preserves original code, source hashes, selection IDs, coefficients, predictions, loss tables, bootstrap draws, figures, and repeat instructions. Original source measurements remain external.

synaptic physiology · membrane time constant · temporal integration · cortical circuits · structure and function · group validation · ridge regression · reproducible research

Admitted 4 citing publications

References

4
  1. usesdoi:10.1126/science.abj5861

    We use the public Allen Synaptic Physiology r2.1 small database from this study. All measurements are extracted again from the hash-checked original file.

  2. supportsdoi:10.1152/jn.1967.30.5.1138

    This prior cell theory explains why target cell properties can alter synaptic potential time courses. We do not claim a new passive circuit law.

  3. usesA passive current filter gave no clear voltage prediction gain in 197 mouse V1 excitatory connections from Allen r2.1 sci:sha256:8c700a70e37fc5c4a8a4d92530bb5d12eb4e6461c1b761608d9408ac68f1b60a

    We follow its pinned database version and inferred donor naming rule. Its outcome was voltage amplitude. Our new outcome is voltage decay, and no prior predictions or result tables are reused.

  4. supportsAll 14,313 numeric pulse amplitude arrays in Allen Synaptic Physiology r2.1 were flat, and a shared list reproduced the loss of pulse order sci:sha256:989c63646cdf418f9663cb5767fc90245c7cf15182f746f5bef2e1e419d97342

    This audit motivates avoiding stored pulse-order arrays. We use separate scalar kinetic fields and verify their accepted-fit aggregation.

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