CDM in Neural Communication Based on Oscillatory Characteristics of Membrane Potential

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Pub Date : 2025-04-01 DOI:10.1109/TMBMC.2025.3556841

Huiyu Luo;Yi Huang;Lin Lin

{"title":"CDM in Neural Communication Based on Oscillatory Characteristics of Membrane Potential","authors":"Huiyu Luo;Yi Huang;Lin Lin","doi":"10.1109/TMBMC.2025.3556841","DOIUrl":null,"url":null,"abstract":"With the advancement of the Internet of Nanothings (IoNT), information networks within organisms are becoming increasingly sophisticated, making the transmission of data from IoNT to the external environment a key research focus. Neural communication, as a promising solution, utilizes action potentials (APs) to carry information. However, enhancing the efficiency of data transmission for multiple IoNT nodes in a complex biological environment presents significant challenges. To address these challenges, this paper proposes an adaptive code division multiplexing (CDM) schemes in neural communication based on the oscillatory characteristics of membrane potential, enabling parallel information transmission for multiple IoNT nodes. This scheme assigns each signal an orthogonal code sequence and superimposes them onto a shared channel. To accommodate the oscillatory properties described by the resonate-and-fire (RF) neuron model, our approach further encodes the superimposed signals in CDM schemes, converting both symbolic and numerical bits into binary data for transmission. Simulation results demonstrate that the proposed scheme significantly enhances interference resistance while enabling multiple signals to share a single neuron channel. This paper paves the way for the implementation of IoNT applications.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"11 2","pages":"246-256"},"PeriodicalIF":2.4000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10947209/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

With the advancement of the Internet of Nanothings (IoNT), information networks within organisms are becoming increasingly sophisticated, making the transmission of data from IoNT to the external environment a key research focus. Neural communication, as a promising solution, utilizes action potentials (APs) to carry information. However, enhancing the efficiency of data transmission for multiple IoNT nodes in a complex biological environment presents significant challenges. To address these challenges, this paper proposes an adaptive code division multiplexing (CDM) schemes in neural communication based on the oscillatory characteristics of membrane potential, enabling parallel information transmission for multiple IoNT nodes. This scheme assigns each signal an orthogonal code sequence and superimposes them onto a shared channel. To accommodate the oscillatory properties described by the resonate-and-fire (RF) neuron model, our approach further encodes the superimposed signals in CDM schemes, converting both symbolic and numerical bits into binary data for transmission. Simulation results demonstrate that the proposed scheme significantly enhances interference resistance while enabling multiple signals to share a single neuron channel. This paper paves the way for the implementation of IoNT applications.

查看原文本刊更多论文

基于膜电位振荡特性的神经通讯CDM

随着纳米物联网（Internet of Nanothings, IoNT）的发展，生物体内的信息网络变得越来越复杂，使得从纳米物联网到外部环境的数据传输成为一个重要的研究热点。神经通信利用动作电位（ap）传递信息，是一种很有前途的解决方案。然而，在复杂的生物环境中，提高多个IoNT节点的数据传输效率是一个重大挑战。为了解决这些问题，本文提出了一种基于膜电位振荡特性的神经通信自适应码分复用（CDM）方案，实现多个IoNT节点的并行信息传输。该方案为每个信号分配一个正交码序列，并将它们叠加到一个共享信道上。为了适应谐振-放电（RF）神经元模型所描述的振荡特性，我们的方法进一步编码CDM方案中的叠加信号，将符号和数字位转换为二进制数据进行传输。仿真结果表明，该方案在使多个信号共享一个神经元通道的同时，显著提高了抗干扰能力。本文为物联网应用的实现铺平了道路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Mathematics-Modeling and Simulation

CiteScore

3.90

自引率

13.60%

发文量

期刊介绍： As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems. This success opens up a new frontier for interdisciplinary communications techniques using chemistry, biology, and other principles that have not been considered in the communications literature. The IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (T-MBMSC) is devoted to the principles, design, and analysis of communication systems that use physics beyond classical electromagnetism. This includes molecular, quantum, and other physical, chemical and biological techniques; as well as new communication techniques at small scales or across multiple scales (e.g., nano to micro to macro; note that strictly nanoscale systems, 1-100 nm, are outside the scope of this journal). Original research articles on one or more of the following topics are within scope: mathematical modeling, information/communication and network theoretic analysis, standardization and industrial applications, and analytical or experimental studies on communication processes or networks in biology. Contributions on related topics may also be considered for publication. Contributions from researchers outside the IEEE’s typical audience are encouraged.