About

About the programme

minAction.net is a single-investigator research programme led by Martin G. Frasch, MD, PhD, at the Institute on Human Development and Disability, University of Washington School of Medicine, Seattle, WA, USA, and Health Stream Analytics, LLC, Seattle, WA, USA.

The programme tests whether a single action functional — the Network-Weighted Action — can serve as a vertically organising principle across biological scales and, by analogy, across artificial learning systems. The four 2026 papers are the first integrated validation of this idea.

Contact

• Email: mfrasch@uw.edu
• LinkedIn: https://www.linkedin.com/in/martinfrasch/

Acknowledgements

Drawing the explicit acknowledgements from each of the four 2026 papers:

• Compute. Computational experiments across the programme were supported by Google Cloud / Vertex AI infrastructure credits.
• Conceptual. The author is grateful to Dr Nathan Gold for introductions to the modularity framework, and to the team of Loma Linda University's Perinatal Biology Center for fruitful conversations about the core ideas of the physiology synthesis (Frasch 2026a).
• Datasets — biology. The Tara Oceans consortium produced the underlying metagenomic reads; specific accessions are listed in the biology paper (Frasch 2026d).
• Datasets — neural architecture (Frasch 2026c). The 2,203-experiment validation used the following publicly-released benchmarks; their originators are gratefully acknowledged: MNIST (LeCun et al., 1998); Fashion-MNIST (Xiao et al., 2017); CIFAR-10 (Krizhevsky et al., 2009); DVS Gesture (Amir et al., 2017); SHD — Spiking Heidelberg Digits (Cramer et al., 2020); SSC — Spiking Speech Commands (Warden 2018; Cramer et al., 2020); SEED-IV (Zheng & Lu, 2015); WESAD (Schmidt et al., 2018); DREAMER (Katsigiannis & Ramzan, 2018); and 20 Newsgroups.
• Datasets — physics (Frasch 2026b). The Kepler and Hooke benchmark trajectories are synthetic, generated under controlled noise; no third-party dataset to acknowledge.
• Personal. From Frasch 2026b: "I thank my family for giving me space to follow my ideas." Echoed across the four papers.