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Bio-Inspired Information and Communications Technologies. 13th EAI International Conference, BICT 2021, Virtual Event, September 1–2, 2021, Proceedings

Research Article

Evolution of Vesicle Release Mechanisms in Neuro-Spike Communication

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  • @INPROCEEDINGS{10.1007/978-3-030-92163-7_9,
        author={Yu Wenlong and Lin Lin},
        title={Evolution of Vesicle Release Mechanisms in Neuro-Spike Communication},
        proceedings={Bio-Inspired Information and Communications Technologies. 13th EAI International Conference, BICT 2021, Virtual Event, September 1--2, 2021, Proceedings},
        proceedings_a={BICT},
        year={2022},
        month={1},
        keywords={Molecular communication Neuro-spike communication Nanonetworks Vesicle release process Bit error rate},
        doi={10.1007/978-3-030-92163-7_9}
    }
    
  • Yu Wenlong
    Lin Lin
    Year: 2022
    Evolution of Vesicle Release Mechanisms in Neuro-Spike Communication
    BICT
    Springer
    DOI: 10.1007/978-3-030-92163-7_9
Yu Wenlong1, Lin Lin1,*
  • 1: College of Electronics and Information Engineering, Tongji University
*Contact email: fxlinlin@tongji.edu.cn

Abstract

Neuro-spike communication has become a hot topic and has been investigated extensively in recent years. The vesicle release process is the main part of neuro-spike communication, which directly determines the accuracy of information transmission. Currently, single vesicle release (SVR) model is used to investigate the process of vesicle release, but there is few research on multi-vesicle release (MVR) model. In this paper, a pool-based MVR model is presented, and the influence of data rate and several system parameters on bit error rate (BER) performance of the model is simulated. In addition, the BER performance of SVR model and MVR model under the same conditions is compared. The advantages and disadvantages of the two models are analyzed.

Keywords
Molecular communication Neuro-spike communication Nanonetworks Vesicle release process Bit error rate
Published
2022-01-01
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-92163-7_9
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