Axonal transmission analysis in neuro-spike communication

Keyvan Aghababaiyan, Behrouz Maham

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

8 Citations (Scopus)

Abstract

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
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467389990
DOIs
Publication statusPublished - Jul 28 2017
Externally publishedYes
Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
Duration: May 21 2017May 25 2017

Conference

Conference2017 IEEE International Conference on Communications, ICC 2017
CountryFrance
CityParis
Period5/21/175/25/17

Fingerprint

Communication
Cell signaling
Channel capacity
Neurons

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Aghababaiyan, K., & Maham, B. (2017). Axonal transmission analysis in neuro-spike communication. In 2017 IEEE International Conference on Communications, ICC 2017 [7996558] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2017.7996558

Axonal transmission analysis in neuro-spike communication. / Aghababaiyan, Keyvan; Maham, Behrouz.

2017 IEEE International Conference on Communications, ICC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7996558.

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

Aghababaiyan, K & Maham, B 2017, Axonal transmission analysis in neuro-spike communication. in 2017 IEEE International Conference on Communications, ICC 2017., 7996558, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Conference on Communications, ICC 2017, Paris, France, 5/21/17. https://doi.org/10.1109/ICC.2017.7996558
Aghababaiyan K, Maham B. Axonal transmission analysis in neuro-spike communication. In 2017 IEEE International Conference on Communications, ICC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7996558 https://doi.org/10.1109/ICC.2017.7996558
Aghababaiyan, Keyvan ; Maham, Behrouz. / Axonal transmission analysis in neuro-spike communication. 2017 IEEE International Conference on Communications, ICC 2017. Institute of Electrical and Electronics Engineers Inc., 2017.
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