找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Quantitative Neuroscience; Models, Algorithms, P. M. Pardalos,J. C. Sackellares,L. D. Iasemidis Book 2004 Springer Science+Business Media

[復制鏈接]
查看: 56084|回復: 51
樓主
發(fā)表于 2025-3-21 18:45:47 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Quantitative Neuroscience
副標題Models, Algorithms,
編輯P. M. Pardalos,J. C. Sackellares,L. D. Iasemidis
視頻videohttp://file.papertrans.cn/781/780939/780939.mp4
叢書名稱Biocomputing
圖書封面Titlebook: Quantitative Neuroscience; Models, Algorithms,  P. M. Pardalos,J. C. Sackellares,L. D. Iasemidis Book 2004 Springer Science+Business Media
描述Advances in the field of signal processing, nonlinear dynamics, statistics, and optimization theory, combined with marked improvement in instrumenta- tion and development of computers systems, have made it possible to apply the power of mathematics to the task of understanding the human brain. This verita- ble revolution already has resulted in widespread availability of high resolution neuroimaging devices in clinical as well as research settings. Breakthroughs in functional imaging are not far behind. Mathematical tech- niques developed for the study of complex nonlinear systems and chaos already are being used to explore the complex nonlinear dynamics of human brain phys- iology. Global optimization is being applied to data mining expeditions in an effort to find knowledge in the vast amount of information being generated by neuroimaging and neurophysiological investigations. These breakthroughs in the ability to obtain, store and analyze large datasets offer, for the first time, exciting opportunities to explore the mechanisms underlying normal brain func- tion as well as the affects of diseases such as epilepsy, sleep disorders, movement disorders, and cognitive disorders that
出版日期Book 2004
關(guān)鍵詞algorithms; complex system; data mining; diagnostics; dynamical systems; magnetic resonance; magnetic reso
版次1
doihttps://doi.org/10.1007/978-1-4613-0225-4
isbn_softcover978-1-4613-7951-5
isbn_ebook978-1-4613-0225-4Series ISSN 1571-4861
issn_series 1571-4861
copyrightSpringer Science+Business Media New York 2004
The information of publication is updating

書目名稱Quantitative Neuroscience影響因子(影響力)




書目名稱Quantitative Neuroscience影響因子(影響力)學科排名




書目名稱Quantitative Neuroscience網(wǎng)絡公開度




書目名稱Quantitative Neuroscience網(wǎng)絡公開度學科排名




書目名稱Quantitative Neuroscience被引頻次




書目名稱Quantitative Neuroscience被引頻次學科排名




書目名稱Quantitative Neuroscience年度引用




書目名稱Quantitative Neuroscience年度引用學科排名




書目名稱Quantitative Neuroscience讀者反饋




書目名稱Quantitative Neuroscience讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 20:37:09 | 只看該作者
Epileptic Seizure Detection Using Dynamical Preprocessing (STLmax),rofiles also show short-term patterns characterizing seizures that can be used for detection purposes. In this paper, we explore two such properties shown by the STL. data during seizures and develop and compare automatic seizure detection algorithms on over 1,000 hours of data.
板凳
發(fā)表于 2025-3-22 00:24:35 | 只看該作者
地板
發(fā)表于 2025-3-22 04:52:48 | 只看該作者
5#
發(fā)表于 2025-3-22 10:12:55 | 只看該作者
Biocomputinghttp://image.papertrans.cn/q/image/780939.jpg
6#
發(fā)表于 2025-3-22 16:26:04 | 只看該作者
https://doi.org/10.1007/978-1-4613-0225-4algorithms; complex system; data mining; diagnostics; dynamical systems; magnetic resonance; magnetic reso
7#
發(fā)表于 2025-3-22 19:43:14 | 只看該作者
1571-4861 trumenta- tion and development of computers systems, have made it possible to apply the power of mathematics to the task of understanding the human brain. This verita- ble revolution already has resulted in widespread availability of high resolution neuroimaging devices in clinical as well as resear
8#
發(fā)表于 2025-3-22 22:54:02 | 只看該作者
9#
發(fā)表于 2025-3-23 01:32:11 | 只看該作者
10#
發(fā)表于 2025-3-23 08:53:15 | 只看該作者
Optimization Techniques for Independent Component Analysis with Applications to EEG Data,cond and fourth order statistics by joint diagonalization of covariance and cumulant matrices depending on time delays. We describe an experiment with EEG data showing that the combination of second and fourth order statistics gives better results for detecting of eye movements.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 05:15
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
保德县| 赞皇县| 东光县| 乌拉特前旗| 田东县| 邵阳市| 金昌市| 淳化县| 明光市| 乌兰浩特市| 敦煌市| 大余县| 东城区| 阿荣旗| 民权县| 汉阴县| 望奎县| 太仓市| 武胜县| 吐鲁番市| 洮南市| 盐边县| 商南县| 湟源县| 柞水县| 西昌市| 宁明县| 璧山县| 宁乡县| 潮州市| 临沂市| 嘉禾县| 遂川县| 武邑县| 永德县| 丰县| 泸西县| 高密市| 衡水市| 莱阳市| 梁河县|