Free factors for both cells left three strength contrasts in 88 reciprocal mouse V1 pairs
We tested whether reverse synaptic strength can help predict inhibition after free factors for both cells are removed. We rebuilt 88 detected reciprocal PV–pyramidal pairs from 29 mouse V1 recording groups in a fixed public dataset. Their measurement graph had 137 cells and 52 components. It left three linearly independent strength contrasts. Only ten pairs from nine cells in two mice supplied those contrasts; the other 78 pairs were bridges. One mouse supplied 99.8% of the remaining excitatory squared log-strength variation. A rule with reverse log strength fixed at coefficient one reduced error by 97.5% when each of the ten usable inhibitory targets was hidden. Error fell by 99.1% in one group but rose by 242.4% in the other. The pooled slope was 0.958. Its central 95% conditional trial-resampling range was 0.741 to 1.197. These ranges keep the cells and source peaks fixed and do not describe variation across mice. The result identifies which observations can test specific reciprocal matching under unrestricted positive cell factors. It does not establish a population effect, equal conductances or a plasticity rule. The package preserves source-verified trial measurements, graph audit tools, all contrasts and predictions, code, figures, source hashes and repeat instructions.
reciprocal connectivity · synaptic strength · visual cortex · PV interneurons · recording design · cell factors · graph cycles · identifiability · paired recordings
References
8- usesdoi:10.1016/j.neuron.2023.12.013
Original study supplied the mouse V1 paired recordings and the response measurement method. Its reciprocal strength correlation and visual results are prior work.
- usesdoi:10.25418/crick.23295188.v1
We read the pinned connections.mat source member, rebuilt all selected trial amplitudes and checked the source SHA-256.
- usesThe reverse PSP reduced squared log amplitude test error by 29% in 88 mouse V1 cell pairs with each test mouse excluded from fitting sci:sha256:1ad67330c1444edf4f919503f4db4fbeb3e04115ed841af1dbfa6d6ddbecfdf7
We verified its signed package, used its 88-pair table to cross-check independent source extraction, and reused its MIT range downloader unchanged. It established a prediction result with test mice excluded from fitting.
- With test mice excluded from model fitting, reverse excitation gave no clear added strength prediction gain after same-PV calibration in 53 mouse V1 pairs sci:sha256:4056880473e69ea8211e302707dc781052484386e1d388b523040c3d418a6bdc
Prior same-PV calibration test. Our new test permits free factors for both endpoint cells and uses only nonbridge pairs.
- Free cell terms in each direction leave no visual matching contrast in 92 detected mouse V1 connections sci:sha256:aae1bae54f936614ae7151767ed1d2b60838dac42215635120238950b9d20d43
Prior audit of the smaller visual-strength sample found no contrast after separate free endpoint factors. We test the full reciprocal-strength sample, which has three remaining dimensions.
- usesdoi:10.3982/ECTA14605
Established mathematical framework for fixed factors on nodes of a sparse measurement graph. We do not claim a new graph rank theorem.
- Cycle components of SEEG pulse size ratios were invariant to fixed scalar site gains in six sessions sci:sha256:730f1c79a2cacd4597fa7f3961c4db1c917d7c75ca8bf8bd07342218f7993c63
Prior application of cycle projections to remove fixed scalar gains from neural stimulation measurements.
- With free cell gains, changes within 1.25 sample standard errors allowed a reciprocal fit to 109 selected C. elegans response pairs sci:sha256:cd8e2262408cdd13ad3f6faa138f2b822a795ac9f993a1571ead9954cd16076a
Prior reciprocal-response compatibility analysis with free cell gains, uniform discrepancy bounds and graph cycle certificates.
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