TAMC-OCTOPUS: A Synthetic Framework for Multiband Temporal Coordination in Distributed Biological Systems

TAMC-OCTOPUS v2.0.0 is a reproducible synthetic computational pipeline for studying Temporal Amplitude Modulation Coupling (TAMC) in distributed cephalopod-inspired systems. This version reorganizes the original TAMC-OCTOPUS prototype into a complete sequential pipeline composed of numbered scripts from v001 to v018. The pipeline generates synthetic local-global coordination dynamics, multiband residuals, transient local residual pulses (PTLR), phase synchrony measures, camouflage formation and breakdown experiments, metastable switching, imitation-like target-state transitions, ablation analyses, parameter sweeps, and a synthetic control-effort comparison between centralized command and TAMC-like intermittent coupling. The project is intended as a theoretical and computational framework, not as a direct biological validation of real octopus neurobiology. All experiments in this release are synthetic. The goal is to provide a falsifiable model for studying how distributed autonomous subsystems may achieve transient global coordination through multiband temporal coupling. Version 2.0.0 includes: - A cleaned and reproducible v001–v018 pipeline.- Core TAMC-OCTOPUS simulation and multiband residual analysis.- Controlled synthetic experiments for camouflage formation, external breakdown, saltatory synchrony, PTLR-driven phase dragging, metastable switching, ablation, target-state transition, and control-effort comparison.- Eight paper-ready main figures.- Complementary figures and intermediate CSV/NPZ outputs.- A paper figure packaging script.- A manuscript-oriented experiment summary table.- Updated README, src/README, requirements, and citation metadata. The main scientific contribution of this release is to formalize TAMC-OCTOPUS as a synthetic framework for testing whether local residual events and global temporal patterns can interact to produce coherent distributed behavior. Future versions are intended to apply the same analysis framework to real cephalopod video-derived signals, skin-pattern dynamics, arm kinematics, and, if available, neurophysiological recordings such as EEG-like, LFP-like, or field-potential-like data.