This preprint proposes a replacement for traditional “brain type” comparisons in biological cognition: the network-control phenotype. Instead of organizing cognition by organ class alone (for example, mammalian brain, avian brain, or cephalopod brain), the paper represents biological systems as control networks and compares them within an invariant space defined by centralized integration, hierarchical depth, embodied distribution, and adaptive reconfigurability. This framework permits principled comparison across humans, birds, whales, worms, octopus, and fungi without forcing a single organ-centered hierarchy. The paper develops a formal comparative object, a reduced comparison embedding, and a region-based classification scheme for biological cognitive architectures. It also includes a bounded longitudinal human pilot centered on caudate–putamen learning dynamics as a local empirical anchor, while explicitly avoiding the claim that a single human study validates the entire cross-biological framework. This Zenodo record contains the preprint PDF as the primary scholarly document. It also includes the editable source, figure assets, DOT graph source, verified references, Appendix A process trace, the full raw research transcript (.mht), a parsed transcript representation, and curated transcript materials. Together, these files are intended to preserve both the paper and the reproducible research process that produced it. Date of this version: March 21, 2026.Version DOI: 10.5281/zenodo.19154077Concept DOI: 10.5281/zenodo.18902418
Peter Bell (Sat,) studied this question.