亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Human physiological benefits of viewing nature: EEG responses to exact and statistical fractal patterns.

分形 分形分析 数学 分形维数 网络的分形维数 统计物理学 物理 数学分析
作者
Caroline M.P. Hagerhall,Thorbjörn Laike,M Küller,Elizabeth Marcheschi,C Boydston,R. P. Taylor
出处
期刊:PubMed [National Institutes of Health]
卷期号:19 (1): 1-12 被引量:86
链接
标识
摘要

Psychological and physiological benefits of viewing nature have been extensively studied for some time. More recently it has been suggested that some of these positive effects can be explained by nature's fractal properties. Virtually all studies on human responses to fractals have used stimuli that represent the specific form of fractal geometry found in nature, i.e. statistical fractals, as opposed to fractal patterns which repeat exactly at different scales. This raises the question of whether human responses like preference and relaxation are being driven by fractal geometry in general or by the specific form of fractal geometry found in nature. In this study we consider both types of fractals (statistical and exact) and morph one type into the other. Based on the Koch curve, nine visual stimuli were produced in which curves of three different fractal dimensions evolve gradually from an exact to a statistical fractal. The patterns were shown for one minute each to thirty-five subjects while qEEG was continuously recorded. The results showed that the responses to statistical and exact fractals differ, and that the natural form of the fractal is important for inducing alpha responses, an indicator of a wakefully relaxed state and internalized attention.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
4秒前
6秒前
7秒前
astertuzi发布了新的文献求助10
10秒前
w1x2123发布了新的文献求助10
11秒前
11秒前
魁梧的背包完成签到,获得积分10
12秒前
爱笑的白枫完成签到,获得积分10
19秒前
wttt发布了新的文献求助10
21秒前
淡墨完成签到 ,获得积分10
22秒前
22秒前
26秒前
sweetm完成签到,获得积分10
32秒前
39秒前
宫野珏发布了新的文献求助80
43秒前
艳子发布了新的文献求助10
44秒前
44秒前
hilda发布了新的文献求助20
49秒前
霜序完成签到,获得积分10
49秒前
科研通AI6.4应助宫野珏采纳,获得10
51秒前
朝圣完成签到,获得积分10
56秒前
乐研客完成签到,获得积分10
56秒前
1分钟前
hilda完成签到,获得积分10
1分钟前
hanyuying发布了新的文献求助10
1分钟前
谦让的沛芹完成签到,获得积分10
1分钟前
思源应助艳子采纳,获得10
1分钟前
su完成签到 ,获得积分10
1分钟前
1分钟前
机灵伟诚完成签到,获得积分10
1分钟前
爆米花应助悲伤的小袁采纳,获得10
1分钟前
吃了吃了完成签到,获得积分10
1分钟前
astertuzi完成签到,获得积分10
1分钟前
合一海盗完成签到,获得积分0
1分钟前
1分钟前
活力傲柏完成签到,获得积分10
2分钟前
2分钟前
贼吖完成签到 ,获得积分10
2分钟前
2分钟前
自然的绮山完成签到,获得积分10
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Nine new races of Peronospora manshurica found on soybeans in the Midwest 1000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Eudora Welty and Modern Media 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7772391
求助须知:如何正确求助?哪些是违规求助? 9314739
关于积分的说明 20339673
捐赠科研通 7357736
什么是DOI,文献DOI怎么找? 3316906
关于科研通互助平台的介绍 2465432
邀请新用户注册赠送积分活动 2331928