The simulation and modeling of neural phenomena in metallic lattices

Computation by metabolic processes or thermodynamic transformations of systems is considered. The objectives are (a) to gain a greater understanding of the operations of the central nervous system (CNS) and (b) to create new concepts for machine design and intelligence. State space thermodynamics (SST) is a new branch of metal physics. Discoveries made by monitoring real-time deformation, relaxation, and annealing processes show that SST uniquely provides important primal examples of natural neural-network-like systems and behavior. It ultimately foreshadows the possibility of metallurgically casting super-high-density, lattice networks for specific computational problems, as well as gaining new insights for understanding the operations of the mammalian brain and the CNS