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Titlebook: Musicality of Human Brain through Fractal Analytics; Dipak Ghosh,Ranjan Sengupta,Archi Banerjee Book 2018 Springer Nature Singapore Pte Lt

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發(fā)表于 2025-3-21 19:32:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Musicality of Human Brain through Fractal Analytics
編輯Dipak Ghosh,Ranjan Sengupta,Archi Banerjee
視頻videohttp://file.papertrans.cn/642/641565/641565.mp4
概述Broadens our understanding of the nonlinear processing of music and music-induced electroencephalograph (EEG) signals.Offers a simplified picture of how music signals are processed in the brain.Enrich
叢書名稱Signals and Communication Technology
圖書封面Titlebook: Musicality of Human Brain through Fractal Analytics;  Dipak Ghosh,Ranjan Sengupta,Archi Banerjee Book 2018 Springer Nature Singapore Pte Lt
描述.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, researcher
出版日期Book 2018
關(guān)鍵詞Fractal dimension; Music cognition; Brain response to music; Musical emotion recognition; Response to Hi
版次1
doihttps://doi.org/10.1007/978-981-10-6511-8
isbn_softcover978-981-13-4894-5
isbn_ebook978-981-10-6511-8Series ISSN 1860-4862 Series E-ISSN 1860-4870
issn_series 1860-4862
copyrightSpringer Nature Singapore Pte Ltd. 2018
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-22 00:14:14 | 只看該作者
1860-4862 cture of how music signals are processed in the brain.Enrich.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 o
板凳
發(fā)表于 2025-3-22 03:23:28 | 只看該作者
Book 2018people 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, researcher
地板
發(fā)表于 2025-3-22 08:14:16 | 只看該作者
1860-4862 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, researcher978-981-13-4894-5978-981-10-6511-8Series ISSN 1860-4862 Series E-ISSN 1860-4870
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發(fā)表于 2025-3-22 09:10:40 | 只看該作者
Musicality of Human Brain through Fractal Analytics
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發(fā)表于 2025-3-22 13:50:49 | 只看該作者
Signals and Communication Technologyhttp://image.papertrans.cn/n/image/641565.jpg
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發(fā)表于 2025-3-22 17:14:21 | 只看該作者
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發(fā)表于 2025-3-23 00:35:06 | 只看該作者
Dipak Ghosh,Ranjan Sengupta,Archi BanerjeeBroadens our understanding of the nonlinear processing of music and music-induced electroencephalograph (EEG) signals.Offers a simplified picture of how music signals are processed in the brain.Enrich
9#
發(fā)表于 2025-3-23 04:07:34 | 只看該作者
978-981-13-4894-5Springer Nature Singapore Pte Ltd. 2018
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發(fā)表于 2025-3-23 07:55:17 | 只看該作者
Musicality of Human Brain through Fractal Analytics978-981-10-6511-8Series ISSN 1860-4862 Series E-ISSN 1860-4870
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