arrow
返回

Efficient Hardware Architecture for Template Matching-Based Spike Sorting

delete2019-06-01
delete35
delete
OA
AI
D
Daniel Valencia *
A
Amirhossein Alimohammad
DOI:10.1109/TBCAS.2019.2907882delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
This paper presents an efficient hardware architecture for the design and implementation of a spike sorting system using online template matching. Over the past decade, various spike sorting algorithms have been proposed; however, due to their computational complexity, they may not be suitable for implantable devices that have stringent area and power consumption requirements. We first developed a software-based spike sorting system in both floating-point and fixed-point representations. Then, we used our developed software-based spike sorting system for: 1) studying various neural signal processing algorithms and assessing their feasibility for efficient hardware implementations; and 2) offline processing of previously recorded neural data and extracting the threshold data and spike templates for configuring our spike sorting hardware architecture. The characteristics and implementation results of the designed spike sorting system on a Xilinx Artix-7 A200TFBG676-2 field-programmable gate array are presented. The application-specific integrated circuit (ASIC) implementation of the designed spike sorting system is estimated to occupy 0.3 mm(2). Postlayout synthesis and simulation shows that the ASIC implementation will dissipate 64 nW from a 0.25-V supply, while operating at a 24-kHz frequency in a standard 45-nm CMOS technology. Compared to the previously published work, our ASIC implementation consumes 96.8% less power, while maintaining a comparable sorting accuracy. Moreover, our design can run at a higher clock frequency and uses fewer hardware resources, while achieving a 168% reduction in output data rate when comparing the raw data sampling rate and the sorted spike output rate and, yet, offers comparable spike sorting accuracy.
Keyword:
Application specific integrated circuits
biomedical signal processing
digital circuits
field programmable gate arrays
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

IEEE Transactions on Circuits and Systems I-Regular Papers 封面图
IEEE Transactions on Circuits and Systems I-Regular Papers
IF:
5.2
论文数:
9.8K
被引数:
2.2W

机构

California State University System 封面图
California State University System
学者数:
2.8W
论文数: 2.4W
被引数: 457
引用论文

引用论文

Silica availability in soils and river water in two watersheds on Java Island, Indonesia
err2010-12-21
err0
errOAAI
errHusnain; Toshiyuki Wakatsuki; Diah Setyorini; Hermansah; Kuniaki Sato; Tsugiyuki Masunaga
err分享
err收藏
Estimating the Lifetime of Wireless Sensor Network Nodes through the Use of Embedded Analytical Battery Models
err2017-06-15
err0
errOAAI
errLeonardo Rodrigues; Carlos Montez; Gerson Budke; Francisco Vasques; Paulo Portugal
err分享
err收藏
err分享
err收藏
学者 查看更多内容