Dipak Ghosh; Ranjan Sengupta; Shankha Sanyal; Arch Musicality of Human Brain through Fractal Analytics 9789811065101

Варианты приобретения

Цена: 20962.00р.
Кол-во:
Наличие: Поставка под заказ. Есть в наличии на складе поставщика.
Склад Америка: Есть
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину

в Мои желания

Автор: Dipak Ghosh; Ranjan Sengupta; Shankha Sanyal; Arch
Название: Musicality of Human Brain through Fractal Analytics
ISBN: 9789811065101
Издательство: Springer
Классификация:

Культурология

Физиологическая и нейропсихология, биопсихология

Науки о жизни (медико-биологические): общие вопросы

Нейронауки

Системы и технологии визуализации

Разработка и эксплуатационная простота пользовательского интерфейса

ISBN-10: 9811065101
Обложка/Формат: Hardcover
Страницы: 232
Вес: 0.53 кг.
Дата издания: 05.10.2017
Серия: Signals and Communication Technology
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 111 illustrations, color; 8 illustrations, black and white; xvii, 232 p. 119 illus., 111 illus. in color.
Размер: 234 x 156 x 16
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: 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.

Дополнительное описание: 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

Musicality of Human Brain through Fractal Analytics, Dipak Ghosh; Ranjan Sengupta; Shankha Sanyal; Arch