Musicality of Human Brain through Fractal Analytics

  • Dipak Ghosh
  • Ranjan Sengupta
  • Shankha Sanyal
  • Archi Banerjee

Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Dipak Ghosh, Ranjan Sengupta, Shankha Sanyal, Archi Banerjee
    Pages 1-20
  3. Dipak Ghosh, Ranjan Sengupta, Shankha Sanyal, Archi Banerjee
    Pages 21-48
  4. Dipak Ghosh, Ranjan Sengupta, Shankha Sanyal, Archi Banerjee
    Pages 49-72
  5. Dipak Ghosh, Ranjan Sengupta, Shankha Sanyal, Archi Banerjee
    Pages 73-102
  6. Dipak Ghosh, Ranjan Sengupta, Shankha Sanyal, Archi Banerjee
    Pages 103-116
  7. Dipak Ghosh, Ranjan Sengupta, Shankha Sanyal, Archi Banerjee
    Pages 117-143
  8. Dipak Ghosh, Ranjan Sengupta, Shankha Sanyal, Archi Banerjee
    Pages 145-163
  9. Dipak Ghosh, Ranjan Sengupta, Shankha Sanyal, Archi Banerjee
    Pages 165-184
  10. Dipak Ghosh, Ranjan Sengupta, Shankha Sanyal, Archi Banerjee
    Pages 185-212
  11. Dipak Ghosh, Ranjan Sengupta, Shankha Sanyal, Archi Banerjee
    Pages 213-230
  12. Back Matter
    Pages 231-232

About this book

Introduction

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.

 

Keywords

Fractal dimension Music cognition Brain response to music Musical emotion recognition Response to Hindustani raga music Music induced EEG signal Detrended fluctuation analysis (DFA) Multifractal detrended fluctuation analysis (MFDFA) Multifractal cross correlation analysis (MFDXA) Hindustani classical music Wavelet transform (WT) technique Neural hysteresis Gestalt psychology

Authors and affiliations

  • Dipak Ghosh
    • 1
  • Ranjan Sengupta
    • 2
  • Shankha Sanyal
    • 3
  • Archi Banerjee
    • 4
  1. 1.Sir C.V. Raman Centre for Physics and MusicJadavpur UniversityKolkataIndia
  2. 2.Sir C.V. Raman Centre for Physics and MusicJadavpur UniversityKolkataIndia
  3. 3.Sir C.V. Raman Centre for Physics and MusicJadavpur UniversityKolkataIndia
  4. 4.Sir C.V. Raman Centre for Physics and MusicJadavpur UniversityKolkataIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-6511-8
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-10-6510-1
  • Online ISBN 978-981-10-6511-8
  • Series Print ISSN 1860-4862
  • Series Online ISSN 1860-4870
  • About this book
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