Springer Musicality of Human Brain through Fractal Analytics (Signals and Communication Technology)

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.   From the Back Cover 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.   About the Author Prof. Dipak Ghosh, a University Gold medalist and a PhD in the area of High Energy Physics, published more than four hundred papers in international journals across the world. He was the Professor and Dean of the faculty of Science, Jadavpur University. He supervised the PhD thesis of 70 students and still continuing in doing so. From 2004, he started to work in the area of physics and music and established the Sir C V Raman Centre for Physics and Music, Jadavpur University. He worked as the coordinator of the Centre till his retirement in 2010. In this connection he has published more than hundred papers on music information retrieval and clinical psychology. Presently he is the Emeritus Professor at the Centre. His area interest for the last three years is to study the effect of music on human brain from the neuro-physics perspective. Prof. Ghosh is the recipient of many awards including Sir C.V. Raman Award by U.G.C, Govt. of India for his in-depth research work in various disciplines. Dr. Ranjan Sengupta, a PhD in High energy Physics, was the Senior Research Scientist and Head, Scientific Research Department, ITC Sangeet Research Academy, Kolkata for 27 years. From 2010 he is associated with Sir C V Raman Centre of Physics and Music, Jadavpur University, Kolkata as a