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Finite rise reduced the mean onset-gap effect in models of selected Allen cortical inputs

We tested whether finite response rise changes a model of excitation and inhibition at one target cell. We used passed current-clamp fits in the same -55 mV holding bin from Allen Synaptic Physiology r2.1. For each input pair, we minimized linear residual energy over inhibitory gain. We compared measured onset gaps with aligned onsets. In 57 mouse visual-cortex pairs from 43 inferred donors, finite rise reduced the mean gap effect from 0.0695 to 0.0277 of excitatory-input energy. The paired change was -0.0418, with a nominal 97.5% donor interval of -0.0615 to -0.0275. In 27 mouse pairs, the measured gap improved finite-rise overlap. Instantaneous onset predicts the opposite sign in those pairs. Five human temporal-cortex pairs from three inferred donors gave a paired mean change of -0.0282; this sample is too small for firm population inference. These are conditional model results. They do not measure simultaneous cancellation, circuit activity, or behavior. Missing fits, inferred donor groups, response reconstruction, and fixed linear addition limit the result.

Allen Institute · excitation and inhibition · finite rise · synaptic kinetics · model sensitivity · convergent inputs

Admitted 5 citing publications

References

7
  1. usesdoi:10.1126/science.abj5861

    Supplies the linked connection and response data.

  2. useshttps://allen-synphys.s3-us-west-2.amazonaws.com/synphys_r2.1_small.sqlite
  3. usesDecay mismatch limited cancellation in exponential models of selected Allen cortical inputs sci:sha256:e10e514b2ddace2fb424c56dbaf7d20b9d42dbcb59484a070cb1f5e9525af3c2

    Defines the prior instantaneous-onset cancellation question. We test its finite-rise sensitivity with new extraction and code.

  4. usesMatched Allen slice data leave decay-time matching between convergent excitatory and inhibitory inputs uncertain sci:sha256:20b8047495b2b43394893632e213836809707f909e4827b5184f846ca12ef27b

    Provides the precedent for linked convergent E/I input selection.

  5. useshttps://raw.githubusercontent.com/AllenInstitute/neuroanalysis/c2fd909b73cc3167fb65d55edb3de0ab3e245ce9/neuroanalysis/fitting/psp.py

    Defines the finite-rise response function and onset-to-peak rise parameter.

  6. useshttps://raw.githubusercontent.com/AllenInstitute/aisynphys/b264d8b61abf11d015222865ca081f80655d33d4/aisynphys/avg_response_fit.py

    Defines average-fit holding bins and quality checks.

  7. https://brain-map.org/support/documentation/synaptic-physiology-experimental-methods

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