用户名  找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Brain-Machine Interface Engineering; Justin C. Sanchez,José C. Principe Book 2007 Springer Nature Switzerland AG 2007

[复制链接]
查看: 18483|回复: 37
发表于 2025-3-21 17:00:44 | 显示全部楼层 |阅读模式
期刊全称Brain-Machine Interface Engineering
影响因子2023Justin C. Sanchez,José C. Principe
视频videohttp://file.papertrans.cn/191/190311/190311.mp4
学科分类Synthesis Lectures on Biomedical Engineering
图书封面Titlebook: Brain-Machine Interface Engineering;  Justin C. Sanchez,José C. Principe Book 2007 Springer Nature Switzerland AG 2007
影响因子Neural interfaces are one of the most exciting emerging technologies to impact bioengineering and neuroscience because they enable an alternate communication channel linking directly the nervous system with man-made devices. This book reveals the essential engineering principles and signal processing tools for deriving control commands from bioelectric signals in large ensembles of neurons. The topics featured include analysis techniques for determining neural representation, modeling in motor systems, computing with neural spikes, and hardware implementation of neural interfaces. Beginning with an exploration of the historical developments that have led to the decoding of information from neural interfaces, this book compares the theory and performance of new neural engineering approaches for BMIs. Contents: Introduction to Neural Interfaces / Foundations of Neuronal Representations / Input-Outpur BMI Models / Regularization Techniques for BMI Models / Neural Decoding Using GenerativeBMI Models / Adaptive Algorithms for Point Processes / BMI Systems
Pindex Book 2007
The information of publication is updating

书目名称Brain-Machine Interface Engineering影响因子(影响力)




书目名称Brain-Machine Interface Engineering影响因子(影响力)学科排名




书目名称Brain-Machine Interface Engineering网络公开度




书目名称Brain-Machine Interface Engineering网络公开度学科排名




书目名称Brain-Machine Interface Engineering被引频次




书目名称Brain-Machine Interface Engineering被引频次学科排名




书目名称Brain-Machine Interface Engineering年度引用




书目名称Brain-Machine Interface Engineering年度引用学科排名




书目名称Brain-Machine Interface Engineering读者反馈




书目名称Brain-Machine Interface Engineering读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:37:57 | 显示全部楼层
978-3-031-00493-3Springer Nature Switzerland AG 2007
发表于 2025-3-22 01:24:00 | 显示全部楼层
Brain-Machine Interface Engineering978-3-031-01621-9Series ISSN 1930-0328 Series E-ISSN 1930-0336
发表于 2025-3-22 06:41:03 | 显示全部楼层
发表于 2025-3-22 12:45:50 | 显示全部楼层
发表于 2025-3-22 14:50:05 | 显示全部楼层
Book 2007ication channel linking directly the nervous system with man-made devices. This book reveals the essential engineering principles and signal processing tools for deriving control commands from bioelectric signals in large ensembles of neurons. The topics featured include analysis techniques for dete
发表于 2025-3-22 18:20:01 | 显示全部楼层
发表于 2025-3-22 22:41:30 | 显示全部楼层
8楼
发表于 2025-3-23 02:10:10 | 显示全部楼层
9楼
发表于 2025-3-23 05:45:09 | 显示全部楼层
10楼
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-7-15 23:43
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表