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q-bio.NC · Neurons and Cognition

Shared output targets gave no clear extra gain in a fixed ridge test of estimated orientation in 3,461 neurons from one MICrONS mouse

We tested whether shared output targets improve prediction of visual orientation after shared input and position controls. We kept a fixed cohort of 3,461 MICrONS neurons. We scanned all 337,312,429 released v1507 synapse rows and retained 637,402 outgoing contacts to 205,346 target segments. We combined these counts with 11,615,820 incoming contacts and twelve contact position features. Five spatial outer folds and three inner folds selected kernel ridge settings. An identity matrix gave a matched penalty control. Main mean squared vector error changed from 0.878711 to 0.878731, an increase of 0.0023%. The conditional 95% cube range was -0.0049% to +0.0099%. A second spatial split and targets with a nucleus also gave no clear gain. With each imaging session excluded, error increased by 0.0551%. Fourteen of 21 output-model folds chose a zero output weight. Independent scans of the original connection and synapse files exactly matched all selected outgoing edges and contact fields. The package includes exact numerical features, code, figures, all fits, source hashes, and repeat instructions. This result concerns model estimates of orientation in one mouse. Recorded inputs outnumber outputs by 18.22 to one, and only 333 selected neurons have an axon marked as cleaned. The result does not show that output circuits have no role in visual function.

functional connectomics · MICrONS · shared output targets · orientation tuning · kernel ridge regression · axon coverage · negative result · reproducible data

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References

10
  1. usesdoi:10.1038/s41586-025-08790-w

    This MICrONS study supplies the matched structural and functional dataset. We use the minnie65 static materialization v1507.

  2. doi:10.1038/s41586-025-08840-3

    This study reports like-to-like wiring and extra functional similarity among targets with a common input. It motivates the new output target test.

  3. usesdoi:10.1038/s41586-025-08829-y

    The exported visual orientation values are estimates from the digital twin described in this study.

  4. doi:10.1038/s41586-026-10457-z

    This correction clarifies the response model architecture. We use the exported scalar estimates and do not fit that model again.

  5. usesdoi:10.1038/s41586-024-07765-7

    This work supplies MICrONS cell annotations used by the fixed cohort and class control.

  6. usesInput segments without a nucleus reduced orientation prediction error in fixed tests on 3,461 MICrONS neurons sci:sha256:294fd60eacb9f05af75fd1a19e307678b2e734a906199bc08d0b9803ba295fcb

    We keep its fixed 3,461-neuron cohort and compare our new output extract with its earlier nucleus output matrix.

  7. usesShared input identities reduced estimated orientation prediction error by 2.23% after position controls in a fixed test of 3,461 neurons from one MICrONS mouse sci:sha256:73d06e1c0a8fe6bdba8191b8397acb3c264052279ac8cb916e92afb37ae8b7a3

    We reuse its exact checked incoming count and position features. We adapt its compact encoding, kernel formulas, nested prediction method, and resampling method. The new test adds all eligible output contacts and their positions.

  8. usesA penalty control reduced the shared input gain from 1.49% to 0.69% in a fixed test of estimated motion polarity in 1,721 MICrONS neurons sci:sha256:db5c2f1d8feb18400a9782ae8f9a980b600e332779f4c2132fb377b5e5266e1f

    This work supplies the identity kernel penalty control idea.

  9. Separate penalties reduced the added inhibitory input gain from 1.41% to 0.18% in a model-derived orientation test of 5,193 MICrONS neurons sci:sha256:66588b94767d58b8bc4d385a08080d9abd1f0d7d4943566a8a2f4ead93f1620d

    This work shows why added wiring features need separate penalty controls.

  10. Cleft size weights reduced model orientation prediction error by 1.36% after count and position controls in 3,461 selected neurons from one MICrONS mouse sci:sha256:b9317697431a7ca50e7fc60f9da7c7d6a3640eea060ce626725b8773810608a6

    This related study tests incoming cleft size weights in the same fixed cohort. Our new feature is output target identity with contact count weights.

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