Multi-Domain SystemC model of 128-channel time-multiplexed neural interface front-end

K. Wirianto, A. Zjajo, C. Galuzzi, R. V. Leuken
{"title":"Multi-Domain SystemC model of 128-channel time-multiplexed neural interface front-end","authors":"K. Wirianto, A. Zjajo, C. Galuzzi, R. V. Leuken","doi":"10.1109/SAMOS.2015.7363688","DOIUrl":null,"url":null,"abstract":"A SystemC Multi-Domain Virtual Prototype (MDVP) framework provides multi-domain system integration of multi-electrode neural interface and a fast validation time, offering more efficient design process. In this paper, we propose efficient neuron cell, neuron tissue, and multi-channel neural interface front-end models implemented in a SystemC MDVP framework, which supports chemical, biological, and electrical domain modeling and simulation. The proposed model offers advantages for designers not only in reducing the design time, but also regarding the system integration. We make use of 8×16-channel front-end recording circuits to implement a 128-channel time-multiplexed neural interface front-end model. These models are verified with realistic simulation settings and appropriate input signals.","PeriodicalId":346802,"journal":{"name":"2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMOS.2015.7363688","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A SystemC Multi-Domain Virtual Prototype (MDVP) framework provides multi-domain system integration of multi-electrode neural interface and a fast validation time, offering more efficient design process. In this paper, we propose efficient neuron cell, neuron tissue, and multi-channel neural interface front-end models implemented in a SystemC MDVP framework, which supports chemical, biological, and electrical domain modeling and simulation. The proposed model offers advantages for designers not only in reducing the design time, but also regarding the system integration. We make use of 8×16-channel front-end recording circuits to implement a 128-channel time-multiplexed neural interface front-end model. These models are verified with realistic simulation settings and appropriate input signals.
128通道时复用神经接口前端的多域系统模型
SystemC多域虚拟样机(MDVP)框架提供了多电极神经接口的多域系统集成和快速的验证时间,提供了更高效的设计过程。在本文中,我们提出了在SystemC MDVP框架中实现的高效神经元细胞,神经元组织和多通道神经接口前端模型,该模型支持化学,生物和电领域建模和仿真。该模型不仅在缩短设计时间方面具有优势,而且在系统集成方面也具有优势。我们利用8×16-channel前端记录电路实现了128通道时复用神经接口前端模型。这些模型用真实的仿真设置和适当的输入信号进行了验证。
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信