No phylum has reached a comparable complexity among all invertebrates except for cephalopods. Cephalopods have a highly developed neural system with very efficient sensory organs. Furthermore, cephalopods, especially the pelagic squids, are characterized by a highly active lifestyle, and metabolic features led to substantial physiological traits enabling this intelligent organism to cope with environmental stress.

We utilized an artificial breeding system designed for the bigfin reef squid (Sepioteuthis lessoniana) to systematically evaluate the metabolic adjustments/sensory functions/predation paradigm/behavioral patterns/neuronal tract and the mechanisms underlying molecular/cellular adjustments for physiological processes that the intelligent squid employs to physiological responses. Developing the machine learning-based metadata-driven model into multi-layered physiological networks identification will open a new window to elucidate the systematic responses in cephalopod, a prime research priority in biology.