語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
到查詢結果
[ author_sort:"ghosh, dipak." ]
切換:
標籤
|
MARC模式
|
ISBD
Musicality of human brain through fr...
~
Ghosh, Dipak.
Musicality of human brain through fractal analytics
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Musicality of human brain through fractal analyticsby Dipak Ghosh ... [et al.].
其他作者:
Ghosh, Dipak.
出版者:
Singapore :Springer Singapore :2018.
面頁冊數:
xvii, 232 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Electroencephalography.
電子資源:
http://dx.doi.org/10.1007/978-981-10-6511-8
ISBN:
9789811065118$q(electronic bk.)
Musicality of human brain through fractal analytics
Musicality of human brain through fractal analytics
[electronic resource] /by Dipak Ghosh ... [et al.]. - Singapore :Springer Singapore :2018. - xvii, 232 p. :ill., digital ;24 cm. - Signals and communication technology,1860-4862. - Signals and communication technology..
Introduction -- Methodology -- Emotions from Hindustani Classical Music: An EEG based study with evidence of neural hysteresis -- Musical perception and visual imagery: Do musicians visualize while performing? -- Tanpura drone and brain dynamics: How a simple acoustic signal affects brain rhythms -- In search of universality of music: effect of cross cultural instrumental clips -- Gestalt phenomenon in music: which frequencies do we hear? -- Quantification of musical emotion with neural jitter-shimmer: novel study with hindustani music -- An approach to encapsulate improvisation in hindustani classical music -- Ambiguity in hindustani classical music: development of an automated algorithm to asses ambiguity -- Computing the pitch of an EEG signal: a new paradigm in analysis of bio-signals -- Epilogue.
This book provides a comprehensive overview of how fractal analytics can lead to the extraction of interesting features from the complex electroencephalograph (EEG) signals generated by Hindustani classical music. It particularly focuses on how the brain responses to the emotional attributes of Hindustani classical music that have been long been a source of discussion for musicologists and psychologists. Using robust scientific techniques that are capable of looking into the most intricate dynamics of the complex EEG signals, it deciphers the human brain's response to different ragas of Hindustani classical music, shedding new light on what happens inside the performer's brain when they are mentally composing the imagery of a particular raga. It also explores the much- debated issue in the musical fraternity of whether there are any universal cues in music that make it identifiable for people throughout the world, and if so, what are the neural correlates associated with the universal cues? This book is of interest to researchers and scholars of music and the brain, nonlinear science, music cognition, music signal processing and music information retrieval. In addition, researchers in the field of nonlinear biomedical signal processing and music signal analysis benefit from this book.
ISBN: 9789811065118$q(electronic bk.)
Standard No.: 10.1007/978-981-10-6511-8doiSubjects--Topical Terms:
194456
Electroencephalography.
LC Class. No.: ML3820 / .M87 2018
Dewey Class. No.: 781.11
Musicality of human brain through fractal analytics
LDR
:03188nmm a2200349 a 4500
001
528296
003
DE-He213
005
20180601153209.0
006
m d
007
cr nn 008maaau
008
181024s2018 si s 0 eng d
020
$a
9789811065118$q(electronic bk.)
020
$a
9789811065101$q(paper)
024
7
$a
10.1007/978-981-10-6511-8
$2
doi
035
$a
978-981-10-6511-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
ML3820
$b
.M87 2018
072
7
$a
TTBM
$2
bicssc
072
7
$a
UYS
$2
bicssc
072
7
$a
TEC008000
$2
bisacsh
072
7
$a
COM073000
$2
bisacsh
082
0 4
$a
781.11
$2
23
090
$a
ML3820
$b
.M987 2018
245
0 0
$a
Musicality of human brain through fractal analytics
$h
[electronic resource] /
$c
by Dipak Ghosh ... [et al.].
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2018.
300
$a
xvii, 232 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Signals and communication technology,
$x
1860-4862
505
0
$a
Introduction -- Methodology -- Emotions from Hindustani Classical Music: An EEG based study with evidence of neural hysteresis -- Musical perception and visual imagery: Do musicians visualize while performing? -- Tanpura drone and brain dynamics: How a simple acoustic signal affects brain rhythms -- In search of universality of music: effect of cross cultural instrumental clips -- Gestalt phenomenon in music: which frequencies do we hear? -- Quantification of musical emotion with neural jitter-shimmer: novel study with hindustani music -- An approach to encapsulate improvisation in hindustani classical music -- Ambiguity in hindustani classical music: development of an automated algorithm to asses ambiguity -- Computing the pitch of an EEG signal: a new paradigm in analysis of bio-signals -- Epilogue.
520
$a
This book provides a comprehensive overview of how fractal analytics can lead to the extraction of interesting features from the complex electroencephalograph (EEG) signals generated by Hindustani classical music. It particularly focuses on how the brain responses to the emotional attributes of Hindustani classical music that have been long been a source of discussion for musicologists and psychologists. Using robust scientific techniques that are capable of looking into the most intricate dynamics of the complex EEG signals, it deciphers the human brain's response to different ragas of Hindustani classical music, shedding new light on what happens inside the performer's brain when they are mentally composing the imagery of a particular raga. It also explores the much- debated issue in the musical fraternity of whether there are any universal cues in music that make it identifiable for people throughout the world, and if so, what are the neural correlates associated with the universal cues? This book is of interest to researchers and scholars of music and the brain, nonlinear science, music cognition, music signal processing and music information retrieval. In addition, researchers in the field of nonlinear biomedical signal processing and music signal analysis benefit from this book.
650
0
$a
Electroencephalography.
$3
194456
650
0
$a
Music
$x
Physiological aspects.
$3
634273
650
0
$a
Music
$x
Psychological aspects.
$3
270362
650
1 4
$a
Engineering.
$3
210888
650
2 4
$a
Signal, Image and Speech Processing.
$3
273768
650
2 4
$a
User Interfaces and Human Computer Interaction.
$3
274517
650
2 4
$a
Neurosciences.
$3
211508
650
2 4
$a
Neurobiology.
$3
195022
650
2 4
$a
Neuropsychology.
$3
188060
700
1
$a
Ghosh, Dipak.
$3
800531
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Signals and communication technology.
$3
557664
856
4 0
$u
http://dx.doi.org/10.1007/978-981-10-6511-8
950
$a
Engineering (Springer-11647)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000150035
電子館藏
1圖書
電子書
EB ML3820 .M987 2018 2018.
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-981-10-6511-8
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入