| 书目名称 | Musicality of Human Brain through Fractal Analytics |
| 编辑 | Dipak Ghosh,Ranjan Sengupta,Archi Banerjee |
| 视频video | |
| 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 |
| 丛书名称 | Signals and Communication Technology |
| 图书封面 |  |
| 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 |
| 关键词 | Fractal dimension; Music cognition; Brain response to music; Musical emotion recognition; Response to Hi |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-10-6511-8 |
| isbn_softcover | 978-981-13-4894-5 |
| isbn_ebook | 978-981-10-6511-8Series ISSN 1860-4862 Series E-ISSN 1860-4870 |
| issn_series | 1860-4862 |
| copyright | Springer Nature Singapore Pte Ltd. 2018 |
发表于 2025-3-21 19:32:36
