Biological neural network wiring optimization follows minimal-cost path principles
Is it true that biological neural network wiring optimization follows minimal-cost path principles?
Yes. Biological neural network wiring optimization follows minimal-cost path principles, as supported by extensive literature highlighting wiring economy, metabolic cost trade-offs, and resource constraints in connectomes.
Verdict: SUPPORTED · 4 sources for, 0 against · Last checked
The retrieved papers consistently support the premise that biological neural networks and physical connectomes operate under wiring economy and cost-minimization principles, balancing resource expenditure, spatial constraints, and topological complexity.
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X, M., B, P., C, B., B, B., & AL, B. (2026). Surface optimization governs the local design of physical networks.. doi.org. https://doi.org/10.1038/s41586-025-09784-4
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S, O., A, F., & G, B. (2025). Coming up short: Generative network models fail to accurately capture long-range connectivity.. doi.org. https://doi.org/10.1162/netn.a.35
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R, R., K, S., G, B., A, D., & B, D. (2025). The precision principle: driving biological self-organization.. doi.org. https://doi.org/10.3389/fnetp.2025.1678473
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XJ, Z., JM, M., TT, G., X, Z., & G, Y. (2025). Brain-inspired wiring economics for artificial neural networks.. doi.org. https://doi.org/10.1093/pnasnexus/pgae580
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The retrieved papers consistently support the premise that biological neural networks and physical connectomes operate under wiring economy and cost-minimization principles, balancing resource expenditure, spatial constraints, and topological complexity.
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