Axonal transmission analysis in neuro-spike communication

Keyvan Aghababaiyan, Behrouz Maham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)


Novel nano-scale communications techniques are inspired by some naturally existing phenomena such as the molecular communication, neuro spike communication and controlling cellular signaling mechanisms. Among these, neuro-spike communication, which governs the communications between neurons, is a vastly unexplored area. It can be divided into three main blocks, i.e., the axonal transmission, the synaptic transmission and the spike generation. In this paper, we focus on the axonal transmission part as a separate channel. We model the input of this channel by a doubly Poisson process which is a Poisson process with a random intensity. Moreover, we consider an axonal noise modeled by a Poisson process. Then, we derive the capacity of Single-Input Single-Output (SISO) and Multiple-Input Single-Output (MISO) axonal channels, analytically. In the MISO channel case, we investigate the effect of the correlation among inputs on the channel capacity. Moreover, we derive a closed form description for the optimum value of input power to maximize the capacity of axonal channels in different cases. Furthermore, we verify the accuracy of the derived capacity of axonal transmission channels in different scenarios by simulation, i.e., it is shown that less than 10% mismatch exists in average between the analytical and simulation results.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications, ICC 2017
EditorsMerouane Debbah, David Gesbert, Abdelhamid Mellouk
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467389990
Publication statusPublished - Jul 28 2017
Externally publishedYes
Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
Duration: May 21 2017May 25 2017

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607


Conference2017 IEEE International Conference on Communications, ICC 2017

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Axonal transmission analysis in neuro-spike communication'. Together they form a unique fingerprint.

Cite this