At 30 Hz, the second pulse gave no clear mean rise in effective input number in 57 mouse V1 maps with a 0.1 mV cutoff for both pulses

A static connection map does not show how input weight concentration changes during a burst. We tested the mean voltage responses in the Chou mouse V1 optomapping data at 30 Hz. The main sample had 1,137 detected connections in 57 maps from 35 recording dates. Both first and second responses had to be at least 0.1 mV. Each map kept the same sources at both pulses and had at least five sources. We defined effective input number as the inverse sum of squared normalized weights. A common gain leaves this score unchanged. We averaged map log ratios within dates and gave dates equal weight. The mean rise was 4.47%. The central 95% range from 19,999 date resamples was -1.87% to +11.13%. Thus the main test gave no clear mean rise. A planned ten-source subset gave +10.33%, while separate source-layer pools gave +0.61%. Both response thresholds and source coverage changed the estimate. A later exact decomposition split the primary log change into layer-share and within-layer parts. A restricted common power reference, with exponent 0.76146 from prior SCI work, gave a larger rise of 21.15%. This reference omits that work's context terms and response scatter. It is not a test of its full forecast model. The results limit inference from a sublinear strength slope to more equal input weights. They concern processed mean voltage responses. Measurement noise, target integration, and release changes cannot be separated. The package contains raw source data, new code, exact source records, plans, tables, figures, scalar checks, and offline repeat instructions.

input concentration · short-term plasticity · mouse visual cortex · optomapping · effective input number · synaptic weights · source layer