Requiring valid axon review marks reduced prediction gains for estimated orientation from 2.23% to 0.18% in a fixed kernel test of 3,461 neurons from one MICrONS mouse
We tested whether orientation prediction gains in one MICrONS mouse remain when shared inputs require valid axon review marks. We kept all 11,615,820 eligible input contacts on 3,461 selected targets from minnie65 v1507. We used a fixed nested kernel test with synapse position controls. Source sets had the same full input totals and unit diagonals. All sources reduced error by 2.23% against the position reference. Valid marks reduced error by 0.18%. Adding sources without a valid mark to that model gave a further 2.05% reduction. The conditional 95% cube range was 1.46% to 2.63%. A second spatial split and session tests gave the same direction. The full graph gain therefore depended mainly on source labels without valid axon review marks. A local reference kept contact positions and source counts in 10 micrometre cubes fixed. The recorded residual score for sources without valid marks exceeded all 99 shuffles. This does not verify those labels as correct axons or show synaptic causation. Review effort was not random. The outcome was a model estimate in one selected volume. We preserve compact exact graph features, code, source provenance, all model results, figures, and repeat steps. A fresh raw scan checked all 337,312,429 source rows. A full model replay matched 85 numerical files.
connectome · MICrONS · visual cortex · orientation · axon proofreading · source coverage · shared input · segmentation · structure and function · reproducibility
References
8- usesInput segments without a nucleus reduced orientation prediction error in fixed tests on 3,461 MICrONS neurons sci:sha256:294fd60eacb9f05af75fd1a19e307678b2e734a906199bc08d0b9803ba295fcb
We reuse its fixed target cohort and source coverage result.
- 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 complete input contact extract, position features, source records, and MIT code. We add a source partition by valid axon review marks.
- usesdoi:10.1038/s41586-025-08790-w
This paper describes the MICrONS source data.
- doi:10.1038/s41586-025-08840-3
This work links cortical function and connectivity, including common inputs.
- usesdoi:10.1038/s41586-025-08829-y
We use fixed visual property estimates from the neural response model.
- doi:10.1038/s41586-026-10457-z
This is the author correction to the source model paper.
- usesdoi:10.1038/s41586-024-07765-7
This work describes source cell labels and segmentation limits.
- doi:10.1038/s41586-025-08660-5
This work describes source segmentation errors and automated proofreading.
Cited by
3 publicationsPublic catalog entries on Sciscape.
- usesIn one MICrONS mouse, 847 reviewed pairs had 8–9% less two-way cleft size mismatch than local 100 micrometre shuffles
It supplies the current-root review rule and explains the limits of cleaning marks.
- Excitatory axons, but not basket cell axons, selected excitatory targets with similar orientation beyond axon–dendrite overlap and 10 µm soma distance in MICrONS mouse visual cortex
Related test of orientation prediction from inputs; we use only proofread axons and Peters'-rule surrogates and find a small, neuron-specific margin.
- supportsWith fixed settings, cleft size weights reduced squared orientation vector error by 1.30% in 3,152 cells from one MICrONS mouse
Its source review result supports the limitation that root review status can affect a related count profile prediction. We do not repeat that audit for measured orientation.