With matched windows, response timing cut error by 0.8 to 1.8% in fixed ridge tests of 52 mouse V1 inhibitory connections
We tested whether visual response timing adds synaptic strength information in mice excluded from model fitting. We used open paired recordings and visual calcium responses from mouse primary visual cortex. Extraction reproduced the source cohorts and strength correlations: 52 inhibitory connections from 18 mice, r = 0.434, and 40 excitatory connections from 19 mice, r = 0.389. A fixed ridge model predicted log voltage magnitude from cell distance and time-averaged response similarity. Adding full response similarity cut equal-mouse error by 11.46% for inhibition. Its 95% mouse bootstrap range was -19.51% to +39.23%. The source comparison used different response windows for the two features. With the same full-trial frames, the gain was 0.83% (-34.21% to +32.36%). With the same stimulus-on frames, it was 1.80% (-22.85% to +26.35%). Excitatory matched-window gains were negative. Paired ranges also leave the decrease in gain uncertain across mice. These results do not establish a timing benefit or its absence. They show that frame selection affects this strength prediction test. The package provides a benchmark, derived response arrays, pair tables, complete code, all results, figures, source hashes, and reproduction steps. The small, selected sample and voltage response measure limit biological claims. The window bootstrap checks were added after the planned point estimates were known.
synaptic strength · visual cortex · PV interneurons · structure and function · response timing · cross-validation · window selection · paired recordings
References
3- doi:10.1016/j.neuron.2023.12.013
[Legacy relation: reproduces] We reproduce the connected visual-response cohorts and their strength correlations, then test prediction with excluded mice and matched response windows.
- usesdoi:10.25418/crick.23295188.v1
This fixed version supplies paired voltage traces, visual response arrays, cell matches, and the source response algorithms.
- usesWith 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
We use the checked shared connectivity source-member cache documented by this record. Our visual-response window tests use the same source experiment, with new features and analysis code.
Cited by
6 publicationsPublic catalog entries on Sciscape.
- usesJoint visual response terms gave an uncertain 12% strength prediction gain in 52 mouse V1 inhibitory connections
We reuse its verified cohort, recalculated voltage magnitudes, matching facts, source retrieval code, and extraction code.
- usesAdding trial residual correlation gave no clear gain in a fixed strength prediction test of 52 mouse V1 inhibitory connections with test mice excluded
We use its verified cell matches, selected connection records, mean voltage traces, and unchanged MIT extraction and retrieval code. We add selected trial arrays and a test of residual activity.
- usesVisual similarity gave no clear gain in fixed ridge predictions of second responses at 30 Hz for 44 mouse V1 inhibitory links
We use the accepted visual cell matches and trial-mean arrays. We reuse its MIT source retrieval and visual extraction scripts.
- usesFree cell terms in each direction leave no visual matching contrast in 92 detected mouse V1 connections
We reuse its verified compact data, trial-mean visual arrays and MIT source extraction code.
- usesVisual similarity was linked to common voltage strength in 31 selected reciprocal pairs from mouse V1
Verified source ROI matches, quality rules and compact source facts. Three reused files matched the signed SCI supporting archive.
- usesVisual frequency preference gave no clear voltage width prediction gain in fixed ridge tests of 92 mouse V1 connections
We use its verified fixed cell matches and 92-record quality cohort, compare rebuilt source means to its reference arrays, and reuse its MIT range retrieval scripts.