Power-two rise filters lower gain limits in models of 91 selected Allen mouse E-I pairs
We tested how response rise shape changes a negative feedback model based on linked Allen Synaptic Physiology r2.1 records. Power-two rise kernels have an exact three-pole transform per edge. In 91 complete reciprocal excitatory-inhibitory pairs from mouse visual cortex, the full-to-decay-only critical gain ratio had median 0.459 and range 0.127 to 0.703. All 91 gain and crossing-frequency ratios were below one. An equal-mouse geometric mean gain ratio was 0.447, with a descriptive 95% donor bootstrap interval of 0.420 to 0.472. An interior-decay check retained 64 pairs and the same direction. Replacing the four added poles with their mean transit delay gave a median gain ratio of 0.962 relative to the rise model, but a worst ratio of 0.547. Three complete human pairs do not support a transfer test. Independent selection, integration and characteristic-root checks passed. Power two, unit-DC normalization, isolated linear loops, stored fit error and selected slice records limit inference. No neuronal gain, living-brain stability or representation outcome was measured. The package supplies code, derived evidence, source hashes and reproduction instructions.
synaptic physiology · feedback stability · response rise time · Allen Institute · circuit models
References
5- usesGeometric-mean decay replacement lowered gain limits in models of 91 selected Allen mouse E-I pairs sci:sha256:367fb31164c30154685691c4289453c3ca5519e20951d1bf83162d5402c6cce7
Extends its decay-only model benchmark using the same source, cohort rules and donor parser.
- usesdoi:10.1126/science.abj5861
Source electrophysiology and cortical connectivity data.
- useshttps://allen-synphys.s3-us-west-2.amazonaws.com/synphys_r2.1_small.sqlite
- https://github.com/AllenInstitute/aisynphys/blob/master/aisynphys/database/schema/synapse.py
- https://github.com/AllenInstitute/neuroanalysis/blob/master/neuroanalysis/fitting/psp.py
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