Coherent-Resonant Netting: Model Results for Biological Connectome Routing

A 2.7 MB PDF document presents simulation results for a Coherent-Resonant Netting model on biological connectomes. The model, authored by Oleg Dolgikh and shared under a CC-BY-4.0 license on figshare in May 2026, analyzes routing selectivity in C. elegans and Drosophila larva neural circuits. It reports a 1.39× improvement in peak target absorption over a classical baseline in one benchmark.

Use Cases

• Benchmarking neural routing models based on the described C. elegans touch-circuit and Drosophila mushroom-body motifs.
• Studying the effect of topological disorder on network selectivity based on the described degree-preserving rewiring experiments.
• Investigating dephasing-dependent dynamics in biological graphs based on the GKSL open-system proxy model with parameter κ.
• Analyzing energy-information trade-offs in neural computation based on the described two-regime decision architecture.

Strengths

• Includes results from two distinct biological connectome benchmarks: a compact C. elegans circuit and a larger Drosophila larva mushroom-body motif with 243 active nodes.
• Provides a specific, quantified performance improvement: a 1.39× increase in peak target absorption over a matched baseline.
• Reports statistically significant findings, including a pre-specified DES contrast with a p-value of 0.010.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics must be inferred from the manuscript after download.
• The model is partial, as Stage-II commitment is not explicitly modeled, limiting broader energetic and evolutionary implications.

Provenance

Source

figshare

Collection Method

Computational modeling and simulation results.

Freshness

Last updated 2026-05-13 05:34:05; freshness should be verified.