Nano-biyo nesnelerin internetine doğru sinir sisteminin bilgi ve iletişim kuramsal analizi

Amongst the various networks inside the human body, the nervous system forms the largest and the most complex nanonetwork. This network communicates with several types of internal and external stimuli on a molecular scale and interfaces with other peripheral systems of the body to help it function normally. Study of naturally existing molecular communication systems from information and communication-theoretical (ICT) perspective provides a novel approach in understanding these networks. Therefore, the main motivation of the proposed thesis is to analyze the nervous system and the communication happening within this network from an ICT perspective. In particular, we target modeling of the nervous system from a network perspective, experimental testbeds for molecular communication based on nervous system, insulin-glucose system as a peripheral systems of the nervous system and decribe applications of these system in the Internet of Bio-Nano Things (IoBNT). The study of the nervous system will provide novel directions to augment the existing diagnostic and treatment techniques as well as provide a framework for artificial nanonetworks that may be based on the nervous system.