ArticleFrontiers in computational neuroscience2026
Coherent-resonant netting: disorder-enhanced selectivity from transient wave-like dynamics on biological connectomes.
Article in Frontiers in computational neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Biological agents face an energy-information bottleneck: inference requires rapid exploration of large hypothesis spaces, yet high-gain spiking is metabolically expensive. We propose Coherent-Resonant Netting (CRN) as a two-regime decision architecture in which a low-amplitude Stage-I transport process filters candidate routes on a structural graph before a higher-cost Stage-II commitment step. In this manuscript, we model Stage-I only, using a mechanistically neutral GKSL open-system proxy with dephasing rate κ and diagonal disorder ε. The model does not imply microscopic quantum coherence in neural tissue. In two biological connectome benchmarks, selectivity improves under partial coherence. In a compact
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