In one MICrONS mouse, 847 reviewed pairs had 8–9% less two-way cleft size mismatch than local 100 micrometre shuffles
We tested size agreement between opposite excitatory connections. We also tested its relation to visual feature similarity. Data came from one MICrONS mouse. We used v1507 anatomy and 512-component model features. The initial sample had 142,345 directed connections among 8,219 matched neurons. It contained 1,271 two-way pairs. Mean squared log size differences were 2.7% and 0.2% below separate local shuffle means. Neither test was clear. An added anatomy check required valid axon review marks. Its pool had 369,164 directed connections and 847 two-way pairs. With 100 micrometre cubes, mean mismatch was 8.9% and 7.9% below the two exact control means. Lower-tail values from 999 draws were 0.023 and 0.016. Both central 95% ranges from neuron weights included one. These exploratory comparisons concern fixed reference models. The adjusted mismatch change per feature similarity standard deviation was +0.205 in the initial sample. The approximate dyadic interval was -0.026 to +0.435. Negative values would mean closer size agreement. Free neuron effects left five pair dimensions. The other controls used all five. This stronger model could not estimate a feature effect. The data gave modest local size alignment in the added anatomy sample. They gave no clear extra match with the tested visual features. Cleft size is a proxy for strength. Visual features are model estimates. Both samples came from one mouse. A complete scan of 337,312,429 compact source rows reproduced every selected site. A clean-folder repeat matched all 18 numerical result files. The package preserves code, selected graphs, features, source hashes, figures, random draws, and repeat instructions.
connectome · reciprocal connections · synapse size · visual cortex · MICrONS · functional connectivity · local permutation controls · graph rank
References
12- usesA fixed test of 546 MICrONS connections gave no clear mean synapse size relation to motion direction after orientation and neuron controls sci:sha256:0880b422c86f2f45dad497f8822c9cd8cefb417131f395827eafcc59792cb194
It supplies the fixed manual function selection and matched graph.
- usesAt two recorded synapses per pair, two-way links gave no clear decrease in model field center distance in one MICrONS mouse sci:sha256:8e43e6d2acc38f14d834bfeb1f227f87595e1c5d5b09a1b7861991f2b86927e2
It supplies selected graph provenance and independent source audits.
- usesWith target locations given, one-synapse source means cut model feature error by 0.059% in one MICrONS mouse sci:sha256:128e4aea3619750b199afbe5369967bdbd352c88251f26bc6d980b74e30aef2c
It supplies the 8219-root fine excitatory selection and normalized visual feature vectors.
- usesIn one MICrONS mouse, repeated connections had 2.7–12.6% lower log size variance than two local shuffles with 20 micrometre cubes sci:sha256:f1934d2ea0fec536f3150e85955931e6fb255bbbe10f0e06d9f36de7e2bc5245
It supplies the complete selected synapse union and cell records. We test opposite connections rather than repeated sites in one direction.
- usesRequiring 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 sci:sha256:614767952cadc655012f6ebed4f66c161f7cfbadb527ef544ca8d35afb13ffc7
It supplies the current-root review rule and explains the limits of cleaning marks.
- usesdoi:10.1038/s41586-025-08790-w
The MICrONS dataset supplies anatomy and function registration.
- usesdoi:10.1038/s41586-025-08829-y
The fixed model supplies visual feature weights and field locations.
- doi:10.1038/s41586-025-08840-3
It reports visual response similarity relations with cortical connectivity, cleft volume and synapse count.
- doi:10.1038/nature14182
It reports strong and reciprocal connections between visually similar neurons.
- doi:10.1101/2024.03.22.586254
This preprint reports size alignment in reciprocal cortical connections. Our test adds local controls and model function.
- usesdoi:10.1038/s41586-024-07765-7
It describes cell classification in the source volume.
- doi:10.1038/s41586-025-08660-5
It describes reconstruction and automated proofreading methods.
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