Neuroscience, neuroachitectronics, nanocomputers and nanotechnology

Abstract

With the ultimate objectives to design nanocomputers hardware (e.g., develop affordable high-performance architectures, discover advance organizations, synthesize and examine novel topologies, analyze performance, et cetera) far-reaching research should be performed. The need for mathematical models is emphasized, and we report the results in mapping neuroscience into advanced nanocomputer architectures with the sequential analysis and modeling. Optimization of nanocomputers can be performed as they are designed by applying neuroscience-neuroachitectronics fundamentals. Then, using the mathematical models, analysis and optimization can be formulated and carried out.