Shankha Sanyal, Archi Banerjee, Ranjan Sengupta and Dipak Ghosh
Music engages much of the brain, and coordinates a wide range of processing mechanisms. This naturally invites consideration of how music processing in the brain might relate to other complex dynamical abilities. The tremendous ability that music has to affect and manipulate emotions and the brain is undeniable, and yet largely inexplicable. The study of music cognition is drawing an increasing amount of research interest. Like language, music is a human universal involving perceptual discrete elements organized into hierarchically structured sequences. Music can thus provide the study of brain mechanisms, underlying complex sound processing, and also can provide novel insights into the functional and neural architecture of brain functions. The change in the structure and form of music might bring a change in the neural dynamics. So it is important to study and analyze music and see its correlation with the changes it brings about in the neural dynamics. This work is essentially a case report of the various robust scientific nonlinear tools used by us in the assessment of complex neural dynamics induced by a variety of musical clips. Also, the inherent self-similarity in the musical clips can also be studied with the help of these analysis techniques. These methods can be best described taking the example of a mathematical microscope which can wonderfully describe the complex nature of various bio-signals as well as the music signals. The findings and implications are discussed in detail.