One fitted value per cell reduced log ratio test error by 21% and 11% in two mouse cortical maps of detected spikelets
We tested whether shared cell properties predict unequal fast voltage responses in the two directions of a cell pair. We used 1,133 and 512 pairs from optical voltage maps of layer 1 barrel cortex in two awake male mice. Both cells passed source quality rules, their soma distance was 60 to 400 micrometres, and both directions had detected positive spikelets. A model used one fitted log value per cell. Five outer folds excluded complete cell pairs. Four inner folds selected a ridge penalty. The reference predicted equal normalized responses. Mean squared log ratio error fell by 21.02% and 10.57%. Conditional 95% cell resampling ranges at fixed predictions were 13.23% to 29.03% and -0.94% to 20.32%. These ranges do not estimate variation across mice. A second pair split gave decreases of 20.21% and 12.41%. Keeping all positive estimates without detection flags gave smaller decreases of 4.70% and 0.99%. Full graph fits left 46.38% and 35.56% of squared log ratio size in cycle residuals. These residuals are invariant to fixed scalar source and readout gains. The graph method is established; this work adds a test on dense cellular maps and a compact checked dataset. The result concerns new pairs among the same cells, conditional on full-record selection. Shared noise, normalization, source correction and fast voltage filtering can produce cell patterns and cycle residuals. The fit does not identify physical junction conductance or rectification. The package preserves source extracts, metadata, code, predictions, all random draws, figures and repeat instructions.
electrical coupling · spikelets · functional connectivity · cell properties · direction ratios · graph cycles · voltage imaging · NDNF interneurons · pair prediction · reproducible research
References
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We extract fixed small connectivity tables from the two versioned sparsePulseHad NWB assets.
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The source study supplies the optical voltage and stimulation assay and the deposited signal maps.
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We use established least squares graph projection and its separation of cell differences from cycle residuals.
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We apply its scalar source and readout gain interpretation to a new cellular dataset and test prediction on excluded pairs. No source data or code are reused from that study.
- Input resistance gave an uncertain 29% error reduction for electrical coupling ratios in 57 mouse V1 cell pairs sci:sha256:793eb081cca32d1e111ade2fef88bf36cadf28ddb94ba19df6635d4caf401be2
This prior cortical coupling study showed that sparse local graphs had almost no cycles. The present cellular maps permit many cycle constraints and pair tests.
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This study measured unequal electrical transfer and showed the limits of input resistance as its explanation.
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This study showed that cell properties and contact location can affect electrical transfer asymmetry.
Cited by
3 publicationsPublic catalog entries on Sciscape.
- usesHigher trigger spike counts matched 64–69% of one-way electrical calls in two mouse cortical maps
We use its verified compact source arrays and MIT extractor. We extend its cell-factor test to separate pairs with one detected direction.
- usesNPY pair labels reduced 10 ms spike correlation test error by 1.6% and 9.0% in two mouse panels; the first gain was uncertain
We reuse the unchanged compact connectivity vectors and the bounded HTTP range extraction design. The new spike vectors come from separate source assets.
- usesTarget terms cut decay test error by 12% and 7% in two mouse maps, with cell refit ranges that included zero
We verified and reused its compact original source-table extracts, source attributes, and provenance records. We did not reuse its spikelet-ratio analysis.