Source-specific slopes gave no clear primary gain at penalty 10 for new targets in one MICrONS mouse
We tested whether source-specific movie-similarity slopes improve synaptic connection prediction for new target neurons in one MICrONS mouse. The source table has 295,371 positive-opportunity directions and 8,128 connections. Five identity groups gave 235,797 test directions, 6,523 connections, 148 sources and 11,028 targets. Each test target was absent from training in either cell role. All test sources had other training opportunities. Models controlled source rates, geometry, region and layer pairs, scan, and response ceilings. At the primary source-deviation penalty of 10, log loss fell from 0.1109813 to 0.1109708. The gain was 0.0094%, with a conditional 95% interval from -0.0837% to 0.1026%. Penalty 100 gave a small positive gain of 0.0813%; penalty 1 gave an uncertain negative gain. A shared nonlinear and area-specific reference left no clear source-slope gain. Spatial and quality checks at penalty 10 also gave intervals across zero. The result depends on the penalty and model family. Intervals hold fitted predictions fixed and omit new-animal and model-training variation. One mouse, selected arbors, imperfect opportunity measures, and response error limit inference. Code, exact compact input, predictions, coefficients, figures, provenance, and replay checks are included.
MICrONS · Allen Institute · structure and function · connection prediction · source-specific slopes · neuron exclusion · conditional uncertainty
References
11- usesdoi:10.1038/s41586-025-08840-3
Original matched response and wiring study; source of functional connectomics v1.
- usesdoi:10.1038/s41586-025-08790-w
MICrONS matched calcium imaging and electron microscopy resource.
- usesdoi:10.1093/pan/mpv018
Dyadic dependence variance method applied to fixed held-out losses.
- useshttps://sci.azaho.org/publication/?id=c9642774-fe83-4105-a31e-d27cb48567dc
Unchanged compact input extraction with preserved source provenance.
- reviewshttps://github.com/cajal/microns-funconn-2025
Original pooled rule and source-by-projection intercept model; no upstream code is needed for the new fit.
- reviewsIn 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 test of the average similarity rule after effects for both neurons.
- reviewsModel feature similarity gave a small connection prediction gain in one MICrONS split and an uncertain gain in a second sci:sha256:e894a56a9ce22229a9e71b749c98b0ba184b3f09780620ae44a5f7819392059c
Prior wiring prediction test with both endpoints outside training. This study tests source slopes for known sources and new targets.
- reviewsThe connection model gave no clear linear interaction between co-travel length and response similarity in one MICrONS mouse sci:sha256:b03125d1867c00cdf21bd9f1d176dec3d6eadec4e7ab12ae1486c965a9c7d26b
Prior opportunity interaction test; this study tests source-specific slope prediction.
- reviewsIn one MICrONS mouse, the other targets of an axon predict its connections beyond pairwise response similarity; the extra signal is in the top shared response modes sci:sha256:3e5fef923a07bb94d498dc9eb6b0af96089dd32ec2149a31a20966cb3e71b937
Prior co-target rule; no co-target outcome summary is used here.
- useshttps://bossdb-open-data.s3.amazonaws.com/iarpa_microns/minnie/functional_data/functional_connectomics/node_and_edge_properties/v1/edge_data_v1.pkl
Upstream raw source for the compact derived table; exact hashes are in the source receipt.
- useshttps://bossdb-open-data.s3.amazonaws.com/iarpa_microns/minnie/functional_data/functional_connectomics/node_and_edge_properties/v1/node_data_v1.pkl
Upstream raw source for the compact derived table; exact hashes are in the source receipt.
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