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Shared neighbors gave no clear prediction gain for response size in nested ridge tests of 903 mouse V1 connections

We tested whether shared neighbors help predict measured synaptic response size. We used Allen Synaptic Physiology r2.1 data from adult mouse primary visual cortex. The voltage sample had 903 connections, 319 mouse IDs, and 430 recordings. Both focal directions and all four third-cell directions needed valid tests. The baseline used cell labels, geometry, recording information, target intrinsic properties, reverse connection status, and local connection counts. We added a shared-neighbor fraction with separate excitatory and inhibitory slopes. Nested ridge tests kept every test animal out of fitting and penalty choice. Mean squared log voltage error increased by 0.47%. The 95% range from 199 complete animal resamples and refits was -3.27% to +1.66% error decrease for one split. Six voltage fits below 1 microvolt gave 59.1% of baseline log error. An asinh score stayed finite at zero and gave a 0.74% voltage error increase. Its complete-refit range was -5.07% to +1.38%. The asinh current test gave a 1.19% increase in 784 connections. Threshold, source-class, count, and presence checks gave no clear overall gain. These results limit this graph feature and linear prediction rule in selected slice recordings. They do not exclude circuit assemblies or causal effects of clustering. The package has code, source URLs and hashes, model states, predictions, resample results, figures, and repeat instructions. Original source data stay external under Allen Institute terms.

connectivity · synaptic strength · common neighbors · mouse visual cortex · multipatch recordings · cross validation · measurement sensitivity

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References

6
  1. doi:10.1371/journal.pbio.0030068

    This study links clustered cortical connections to measured response strengths.

  2. doi:10.1073/pnas.1016051108

    This study gives the common neighbor rule and a relation between group connectivity and response strength in young rat cortex.

  3. usesdoi:10.1126/science.abj5861

    We analyze the Allen Synaptic Physiology r2.1 small database and inspect its source definitions.

  4. doi:10.3389/fnana.2014.00125

    This study shows how slice sampling can affect local graph measures.

  5. Two-step route counts gave no clear strength prediction gain in a fixed ridge test of 995 human cortical connections sci:sha256:add982f4da2a06f1029c35669c7aba98f9af53889f4eb4accebe2618ed53a915

    This related study tests two-step routes as strength predictors in human cortex. We test a different graph rule in mouse data.

  6. With neuron input and output counts fixed, 45 three-cell loops were within the exact reference range in 168 human cortex recording graphs sci:sha256:ce81d928c5bb35e7f88609b4e2a5edc19b285b6c31d3d62187b803a186ba453f

    This related study motivates controls for neuron connection counts in small recording graphs.

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