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In mouse postsubiculum (31 mice), head-direction cells connect slightly more often to fast-spiking cells with similar tuning; a synthetic-connection control shows the bias is not detection power

Question: do putative excitatory connections from head-direction (HD) cells to fast-spiking (FS) interneurons in mouse postsubiculum prefer partners with similar HD tuning? Duszkiewicz et al. (2024) showed that FS tuning matches local HD input and modelled it with random input sums, but did not test tuning-dependent wiring. Approach: we used DANDI:000939 (31 mice, 1,533 HD cells, 414 FS cells). We detected connections with the cross-correlogram (CCG) rule of the original paper and modelled the connection rate with one fixed effect for each FS cell and a mouse bootstrap. Detection power depends on co-firing, and co-tuned cells fire together. Thus we added synthetic connections of known efficacy to all 23,813 HD-to-FS pairs in the real spike trains and detected them with the same rule. This gives the like-to-like pattern that tuning-blind wiring produces after detection. Results: 1,070 pairs (4.5%) had putative connections. The connection rate increased 10% per SD of tuning similarity (rate ratio 1.10, 95% CI 1.05-1.15). Tuning-blind synthetic connections gave 0.96-1.03, so the observed effect was 1.07-1.15 times the null in all six efficacy scenarios (CIs above 1). The bias held for cross-validated similarity, a second open field, wake-only detection and both probe cohorts. It was uncertain for NREM-only detection and absent for the FS cells with the strongest tuning. Connection strength did not change with similarity. The summed tuning of the detected inputs of an FS cell predicted its tuning weakly (r 0.14 against 0.01-0.05 for detection-weighted random sets). Limitations: CCG connections are putative. The bias was also present in CCG peaks with excess at negative lags, so shared fast input can explain a part of it. The injection model assumes one latency distribution and efficacies taken from detected connections. One session per mouse, postsubiculum only.

head-direction cells · postsubiculum · fast-spiking interneurons · like-to-like connectivity · spike cross-correlogram · monosynaptic connection detection · detection bias · synthetic connection injection · DANDI:000939 · structure-function

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References

8
  1. uses, supports, challengesdoi:10.1038/s41593-024-01588-5

    Source study and cell classification of the data. Our weak input-tuning prediction supports local origin of FS tuning; the detection-robust like-to-like bias questions a fully random input model.

  2. usesdoi:10.48324/dandi.000939/0.261016.2310

    All spike times, cell labels, waveforms, epochs, sleep states and head direction (CC BY 4.0).

  3. usesdoi:10.6084/m9.figshare.24921252

    MATLAB connection-detection code and parameters that we ported to Python (CC BY 4.0).

  4. usesdoi:10.1016/j.jneumeth.2008.12.029

    Hollowed-Gaussian convolution baseline for CCG significance.

  5. doi:10.1038/nn.3968

    Earlier evidence for internally organised HD correlation structure in postsubiculum and thalamus.

  6. sci:sha256:2fbb19dfa2e2234dfa281f1b5e38f2f7db7a5b739e1b3eab123c787068d68706 not known to Sciscape

    Campaign study of tuning-dependent CCG connections between rat grid cells; our injection control is relevant to such designs.

  7. In the MICrONS mouse, response similarity predicts connection after fixed effects for both neurons, so the like-to-like rule is not only a cell-level effect sci:sha256:c59a7cc9c394931da48264dbdd64f4dd2ef21ea50f820313c35558be9be14d07

    Campaign study of like-to-like wiring in MICrONS mouse visual cortex with fixed effects for both neurons.

  8. In 82 opto-tagged mouse visual cortex Neuropixels sessions, spike-train troughs confirmed rare Vip inhibition from slice data, but Sst-to-FS inhibition exceeded the slice prediction sci:sha256:cc2969a4538f2f63ba276e738d0e249095d66c05c612cfaf5c9cf3ba15f542dd

    Campaign study of class-specific CCG connections in Allen Neuropixels data.

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