Bold questions across the sciences
Honest answers, or none. Occam Research is the independent practice of Oleg Dolgikh — chasing decidable questions across disciplines and holding every claim to evidence. Peer-reviewed work, open data, and, when a claim deserves a fight, a public duel.
The capstone of the CRN program: a falsifiable account of how moderate disorder can sharpen selective signal routing on real connectomes — tested, published, and peer-reviewed. The interactive companion lives below.
How the work goes
Scout
Range across fields for questions sharp enough to be decided — where an independent researcher can still land a real result.
Test
Attack the question with computation, real data, and explicit null models. No claim survives without evidence — and the nulls have to fail honestly.
Duel
Put the strongest version of a claim against its strongest objection, in the open, to a verdict. One of several formats — see Duellum Veritatis.
Duellum Veritatis
CRN — the founding trophy
Coherent Resonant Netting is, as an active program, closed. But it is the trophy that forged everything here: it set the method — falsifiable claims, real connectome data, honest null models — and it still shapes what I scout and how I fight. Peer-reviewed in Frontiers in Computational Neuroscience; below, the interactive companion across organisms.
The CRN hypothesis, in brief
Biological agents face an energy–information bottleneck: inference needs rapid exploration of large hypothesis spaces, yet high-gain spiking is metabolically expensive. CRN proposes a two-regime decision architecture. Stage-I (netting) — low-cost wave-like filtering via GKSL/Lindblad dynamics, with tunable dephasing κ and disorder ε on the structural connectome, concentrating probability on target hypotheses. Stage-II (fixation) — expensive spiking commitment that broadcasts the winner. By filtering before firing, the system cuts costly O(N) broadcast events to O(1). The testable signature is Disorder-Enhanced Selectivity: moderate disorder improves target selectivity on real connectomes and depends on native topology — degree-preserving rewiring destroys it, and classical random walks cannot reproduce it.
Evidence Scorecard
Publications & Data
Open Resources
The researcher
Oleg Dolgikh
Background in applied optimization and distributed systems (20+ years). Since 2020, in independent research — open quantum-systems formalisms, spectral graph theory, and thermodynamics of computation applied to biological networks, and increasingly to whichever decidable question across the sciences is worth the hunt.