For equal input activation, strength weighting lowered 30 Hz gain estimates by 0.13 in 69 mouse V1 input maps
A mean paired-pulse ratio gives each connection equal weight. A linear input sum gives stronger connections more weight. We compared these estimates in 1,024 excitatory connections from 69 mouse visual cortex input maps. The measurements used 30 Hz stimulation in developing cortex. Strength weighting lowered the mean gain estimate by 0.130. A 95% interval from resampling recording dates was 0.098 to 0.162. The weighted estimate was lower in 60 of 69 maps. The effect remained after source-format checks, removal of direct stimulation flags, and higher amplitude thresholds. In tests that excluded each recording date, a ratio-of-sums rule had 14.3% lower squared gain error than a mean-ratio rule. The 95% date range was -5.5% to 35.9%, so the prediction gain was uncertain. These results apply to the retained inputs with equal activation and linear response sums. They do not establish a release mechanism or a simultaneous voltage response. The package contains the source data, code, figures, results, and a row-level audit.
visual cortex · functional connectivity · short-term plasticity · paired-pulse ratio · synaptic strength · input integration · reproducible analysis
References
4- usesdoi:10.5061/dryad.5x69p8dc7
We analyze the CMetaMap exports and Figure 7 data in Dryad version ID 338458, metadata version 4, released on 8 February 2025. The unchanged data ZIP and its checksum are preserved.
- usesdoi:10.1016/j.xinn.2024.100735
This study supplies the optomapping method, cell labels, and 30 Hz excitatory response measurements.
- supportsdoi:10.1523/JNEUROSCI.21-24-09608.2001
This work establishes a ratio-averaging artifact across trials. We cite it to limit the biological interpretation of a related comparison across connections.
- supportsdoi:10.1073/pnas.94.2.719
This work links short-term synaptic dynamics to neural coding. It supplies context for the structure-to-function question.
Cited by
5 publicationsPublic catalog entries on Sciscape.
- With fixed known responses and linear sums, 14 of 36 incomplete mouse V1 maps required more than 5% layer share change at 30 Hz with no upper limit on missing responses
This earlier study examined weighted total gain in the same source maps.
- With ±20 µV amplitude bounds, a nonnegative linear model fixed the 50 Hz excitation share direction in 11 of 29 mouse V1 maps for all fixed positive input weights
This study distinguishes strength-weighted input sums from a mean of individual response ratios. We apply the ratio-of-sums principle to convergent excitatory and inhibitory inputs in a different dataset.
- usesAt 30 Hz, fitting the strength slope cut squared log error by 16.6% for 438 mouse V1 basket-cell inputs with test dates excluded
We reuse the source format audit and compare a fresh extraction with its connection table. Its total-gain result differs from the present tests of individual response prediction and vector readout error.
- usesAt 30 Hz, linear sums with equal input activation gave no clear mean lateral range change in 60 mouse V1 maps
We use its source-format audit to define checks. We independently read the source ZIP and test lateral range as a distinct outcome.
- usesFor equal activation and linear sums, a layer rule gave no clear prediction gain for 30 Hz input shares in 54 mouse V1 maps
We use its cohort definition and source-format audit. We rebuild the original exports independently and test layer shares rather than total input gain.