With chemical degrees and cell classes fixed, only three recordings could change link overlap in 8,527 selected mouse neuron pairs
We tested whether electrical coupling marks extra chemical links after local wiring counts are fixed. We read all 123,506 pair records in Allen Synaptic Physiology r2.1. The sample had 8,527 mouse neuron pairs in 1,664 sessions, with two nonsynaptic inhibitory labels and known calls in both directions. We counted every allowed binary chemical graph with fixed input and output degrees in each session and ordered cell-class pair. Only three sessions could change the chemical and electrical overlap score. All three informative blocks had four Pvalb-labelled cells. The recorded score was 116, against an exact reference mean of 112.333. Its upper tail was 1/36. Fixing degrees within 50 or 100 micrometre distance groups left one possible overlap score. A proof shows that at most three neurons cannot change this score under fixed chemical degrees and symmetric electrical weights. In the sample, 1,044 sessions had at most three selected cells. A constant score cannot test independence. Released PSP values were present for 23 of 116 chemical links at electrical pairs, compared with 608 of 897 elsewhere. These results concern sampled slice recordings and a conditional graph reference. They do not measure synchrony or a population effect. The package preserves exact graph spaces, the proof, source hashes, code, figures and repeat instructions.
electrical coupling · chemical synapses · cortical interneurons · fixed degree graphs · exact enumeration · data availability · Allen Synaptic Physiology
References
5- usesdoi:10.1126/science.abj5861
We analyse all pair records from Allen Synaptic Physiology r2.1 and test its chemical and electrical connection calls.
- supportsdoi:10.1073/pnas.192159599
Prior adult cortical recordings found chemical and electrical links among Pvalb cells. We test a different conditional overlap question.
- doi:10.1152/jn.00304.2015
This study gives the functional context for chemical, electrical and dual coupling in cortical interneurons.
- Detected reciprocal links gave no clear increase in initial 50 Hz facilitation in 203 mouse and 90 human excitatory cortical connections sci:sha256:18f0d5dfe535372c2e310055773a60609bc06f2ebd09df5a20bd991e075a6f3a
Related SCI work tested facilitation at reciprocal chemical links in the same source release.
- Mouse cortical connections with a shared source had 23% smaller squared initial 50 Hz response differences under session and class controls; the donor range included no reduction sci:sha256:bb7d5b18d751c3c6c10ff4d569247ed7d1121c0236a8b633612001cf6249fe9e
Related SCI work tested response similarity in common-source and common-target chemical motifs.
Cited by
5 publicationsPublic catalog entries on Sciscape.
- supportsFixed cell totals forced 21 of 29 E-to-I synapses to be co-selective in one mouse parietal panel
It shows that fixed neuron totals can remove score variation in a different wiring test. We apply that range check to parietal selectivity. We do not reuse its code or data.
- With pulse p < 0.05 in both directions, input resistance corrections cut squared log coupling differences by 69–75% in 38 mouse V1 pairs
Prior analysis of electrical and chemical connection calls in the same database. We test continuous transfer ratios with a separate extraction and outcome.
- usesFixed cell input and output counts forced all seven motifs in six mature mouse CA3 recordings
This verified SCI study motivates checking feasible score ranges before interpreting conditional graph tests in small recording panels. We use independent data and original code.
- Input resistance gave an uncertain 29% error reduction for electrical coupling ratios in 57 mouse V1 cell pairs
This prior study used the same database and showed limits from small sampled graphs for a different chemical and electrical overlap test.
- With neuron input and output counts fixed, 45 three-cell loops were within the exact reference range in 168 human cortex recording graphs
It shows why small recording graphs can lose test variation after neuron counts are fixed.