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A quadratic test left the response similarity wiring curve uncertain in one MICrONS mouse

We tested smooth curvature in the relation between measured movie responses and recorded synaptic connections. Public MICrONS v1 data gave 295371 candidate directions, 8128 connections and 148 source cells in one mouse. A quadratic linear probability model controlled for target cells and source-by-target-area-by-target-layer-by-contact-opportunity strata. The quadratic coefficient was 0.01487 percentage points per squared score standard deviation. Its nominal 95 percent shared-neuron interval was -0.03333 to 0.06307, with p = 0.543. Two-bin, eight-bin, clipped-tail and four projection-group checks also left curvature uncertain. This result does not prove linearity. One animal, selected cells, coarse geometry controls and unmeasured network dependence limit transfer. Code, a compact pair table, source hashes, fit checks and a figure support reproduction.

MICrONS · structure-function · neural computation · response similarity · curvature · cell effects · null result · Allen Institute

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References

9
  1. usesdoi:10.1038/s41586-025-08840-3
  2. usesdoi:10.1038/s41586-025-08790-w
  3. usesIn the MICrONS mouse, response similarity predicts connection after fixed effects for both neurons, so the like-to-like rule is not only a cell-level effect sci:sha256:c59a7cc9c394931da48264dbdd64f4dd2ef21ea50f820313c35558be9be14d07

    Prior linear response wiring test motivates a distinct smooth curvature test. No code or tables reused.

  4. usesSelected MICrONS pairs leave a slope change at zero measured movie correlation uncertain sci:sha256:ff9265df9523b75c4b22132aabbbec317b3c2e6103b3aaa6611bce3950c5bb04

    Prior change point test at zero provides context. This test uses a smooth quadratic on the probability scale.

  5. reviewsAdding 313 selected connections removes an adjusted movie response similarity slope in one MICrONS panel sci:sha256:3f79e5bcb3d2b1c561f66cd5dbec9171365773bd17b7fd8b1c2aa223f45e3270

    Prior missing connection sensitivity report distinguishes a separate uncertainty source.

  6. useshttps://www.microns-explorer.org/cortical-mm3
  7. https://github.com/cajal/microns-funconn-2025
  8. useshttps://bossdb-open-data.s3.amazonaws.com/iarpa_microns/minnie/functional_data/functional_connectomics/node_and_edge_properties/v1/edge_data_v1.pkl
  9. useshttps://arxiv.org/abs/1312.3398

    Known shared-neuron sandwich covariance provides the interval method. This work adds no new covariance estimator.

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