On spectrum analysis for nanomachine-to-neuron communications

Abstract

The concept of using nanomachines consisting of nanoscale components to have interaction with biological tissues is considered. Bio-inspired approach contributes to the development of nanomachines and systems for specific purposes. It is anticipated that nanonetworks composed of nanomachines can be useful in medical treatment of neuronal impairments. However, interaction between nanodevices and neuronal cells within in-vivo environment is a challenging task. Relying on computational neuroscience, mathematical modeling of neuronal systems and electrical circuit theory, we investigate the neuronal behavior due to injected currents by nanoscale stimulator. Favorable input signal shapes and frequencies are derived and discussed. Furthermore, the investigations on using radio frequency (RF) based signaling and their non-thermal effects are considered to design an interface for nanomachine-to-neuron communication.