Abstract
As a natural form of nanoscale communication, neuro-spike communication inspires the deployment of nanomachines inside the human body for healthcare. To this end, the identification of failure mechanisms in normal and diseased connections of nervous nano-networks is crucial. Thus, in this paper, we investigate the information transmission through a single myelinated axon segment. We introduce a realistic multi-compartmental model for a single myelinated segment by incorporating the axon's paranodal regions to the model. Next, we characterize the myelinated segment communication channel in terms of attenuation over the range of frequencies. Based on this, we derive the rate per channel use and upper bound on the information capacity. The performance evaluations reveal that our approach provides dramatic correction regarding frequency response. We believe that this result could have a significant effect on the characterization of demyelinated axons from the information and communication technology (ICT) perspective.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
