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Conjecture on model performance with multi‑region datasets

Test the conjecture that the maximum entropy model preserving degree sequence under a hard physical‑contact constraint (model k+c) outperforms the model preserving degree sequence and total wiring length (model k+L) when datasets encompass multiple brain regions, analogous to the fruit fly case.

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Background

The paper compares two leading models: k+L (degree and wiring‑length constraints) and k+c (degree with contactome constraint). While k+L often best matches mouse and human metrics, k+c performs best on the fly, which spans diverse brain regions.

Based on these observations, the authors conjecture that future datasets capturing multiple regions in mouse or human will favor k+c, paralleling the fruit fly result.

References

We conjecture that just like in the fruit fly, model k+c will perform better than model k+L once multiple brain regions are captured by the datasets.