Musicality of Human Brain through Fractal Analytics

• Κύριοι συγγραφείς: Ghosh, Dipak (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Sengupta, Ranjan (http://id.loc.gov/vocabulary/relators/aut), Sanyal, Shankha (http://id.loc.gov/vocabulary/relators/aut), Banerjee, Archi (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Signals and Communication Technology,
• Θέματα: Signal processing.; Image processing.; Speech processing systems.; User interfaces (Computer systems).; Neurosciences.; Neurobiology.; Neuropsychology.; Signal, Image and Speech Processing.; User Interfaces and Human Computer Interaction.

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 Hind...

Πίνακας περιεχομένων:

• Introduction
• Methodology
• Emotions from Hindustani Classical Music: An EEG based study with evidence of neural hysteresis
• Musical perception and visual imagery: Do musicians visualize while performing?
• Tanpura drone and brain dynamics: How a simple acoustic signal affects brain rhythms
• In search of universality of music: effect of cross cultural instrumental clips
• Gestalt phenomenon in music: which frequencies do we hear?
• Quantification of musical emotion with neural jitter-shimmer: novel study with hindustani music
• An approach to encapsulate improvisation in hindustani classical music
• Ambiguity in hindustani classical music: development of an automated algorithm to asses ambiguity
• Computing the pitch of an EEG signal: a new paradigm in analysis of bio-signals
• Epilogue.