Bernard Widrow Cybernetics 2.0: A General Theory of Adaptivity and Homeostasis in the Brain and in the Body 9783030981396

Варианты приобретения

Цена: 13974.00р.
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

Медицина

Автор: Bernard Widrow (Бернард Уидроу)
Название: Cybernetics 2.0: A General Theory of Adaptivity and Homeostasis in the Brain and in the Body
Перевод названия: Бернард Уидроу: Кибернетика 2.0. Общая теория адаптивности и гомеостаза мозга и тела
ISBN: 9783030981396
Издательство: Springer
Классификация:

Кибернетика и теория систем

Биомедицинская техника

Машинное обучение

ISBN-10: 3030981398
Обложка/Формат: Hardback
Страницы: 307
Вес: 0.68 кг.
Дата издания: 16.10.2022
Серия: Springer series on bio- and neurosystems
Издание: 1st ed. 2023
Иллюстрации: 25 illustrations, color; 81 illustrations, black and white; xxxv, 307 p. 106 illus., 25 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Подзаголовок: A general theory of adaptivity and homeostasis in the brain and in the body
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This book takes the notions of adaptivity and learning from the realm of engineering into the realm of biology and natural processes. It introduces a Hebbian-LMS algorithm, an integration of unsupervised Hebbian learning and supervised LMS learning in neural networks, as a mathematical representation of a general theory for synaptic learning in the brain, and adaptation and functional control of homeostasis in living systems. Written in a language that is able to address students and scientists with different backgrounds, this book accompanies readers on a unique journey through various homeostatic processes in living organisms, such as body temperature control and synaptic plasticity, explaining how the Hebbian-LMS algorithm can help understand them, and suggesting some open questions for future research. It also analyses cell signalling pathways from an unusual perspective, where hormones and hormone receptors are shown to be regulated via the principles of the Hebbian-LMS algorithm. It further discusses addiction and pain, and various kinds of mood disorders alike, showing how they can be modelled with the Hebbian-LMS algorithm. For the first time, the Hebbian-LMS algorithm, which has been derived from a combination of Hebbian theory from the neuroscience field and the LMS algorithm from the engineering field of adaptive signal processing, becomes a potent model for understanding how biological regulation works. Thus, this book is breaking new ground in neuroscience by providing scientists with a general theory for how nature does control synaptic learning. It then goes beyond that, showing that the same principles apply to hormone-mediated regulation of physiological processes. In turn, the book tackles in more depth the concept of learning. It covers computer simulations and strategies for training neural networks with the Hebbian-LMS algorithm, demonstrating that the resulting algorithms are able to identify relationships between unknown input patterns. It shows how this can translate in useful ideas to understand human memory and design cognitive structures. All in all, this book offers an absolutely, unique, inspiring reading for biologists, physiologists, and engineers, paving the way for future studies on what we could call the nature’s secret learning algorithm.
Дополнительное описание: Introduction.- Hebbian Learning.- The LMS Algorithm.- The Hebbian-LMS Algorithm.- Inside the membrane; The percent Hebbian-LMS algorithm.- Synaptic scaling and homeostasis.- Synaptic plasticity.- Addiction.

Cybernetics 2.0: A General Theory of Adaptivity and Homeostasis in the Brain and in the Body, Bernard Widrow