Z-Score Training, Combinatorics, and Phase Transitions

L. Stoller
{"title":"Z-Score Training, Combinatorics, and Phase Transitions","authors":"L. Stoller","doi":"10.1080/10874208.2010.545758","DOIUrl":null,"url":null,"abstract":"Live Z-score neurofeedback training introduces neural training based on simultaneously meeting multiple quantitative EEG-based conditions related to power, dispersion (amplitude asymmetry), coherence, and phase (Thatcher, 2008). The greater strength of the approach lies in being able to train tens, hundreds, or even thousands of criteria simultaneously. In taking multithreshold training to a quantitatively new level, Z-score training provides a holistic picture of the brain enabling us to examine the space of the brain's electrical activity with new detail. This article develops a picture of the brain as an evolving dynamical system focusing on the manners in which the brain changes, rather than the specific configurations to which it changes. The object is to develop a better understanding of how we learn in order to develop protocols that better help the brain adjust itself in any situation.","PeriodicalId":88271,"journal":{"name":"Journal of neurotherapy","volume":"15 1","pages":"35-53"},"PeriodicalIF":0.0000,"publicationDate":"2011-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10874208.2010.545758","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of neurotherapy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/10874208.2010.545758","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Live Z-score neurofeedback training introduces neural training based on simultaneously meeting multiple quantitative EEG-based conditions related to power, dispersion (amplitude asymmetry), coherence, and phase (Thatcher, 2008). The greater strength of the approach lies in being able to train tens, hundreds, or even thousands of criteria simultaneously. In taking multithreshold training to a quantitatively new level, Z-score training provides a holistic picture of the brain enabling us to examine the space of the brain's electrical activity with new detail. This article develops a picture of the brain as an evolving dynamical system focusing on the manners in which the brain changes, rather than the specific configurations to which it changes. The object is to develop a better understanding of how we learn in order to develop protocols that better help the brain adjust itself in any situation.
Z-Score训练,组合学和相变
实时Z-score神经反馈训练引入了基于同时满足与功率、色散(幅度不对称)、相干性和相位相关的多个定量脑电图条件的神经训练(Thatcher, 2008)。该方法的强大之处在于能够同时训练数十、数百甚至数千个标准。在将多阈值训练提升到一个新的定量水平时,Z-score训练提供了大脑的整体图像,使我们能够以新的细节检查大脑的电活动空间。这篇文章将大脑描绘成一个不断进化的动力系统,重点关注大脑变化的方式,而不是大脑变化的具体结构。目的是为了更好地理解我们是如何学习的,从而制定出更好地帮助大脑在任何情况下进行自我调整的方案。
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