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Einstein`s Brain: Genius, Culture, and Social Networks, Restivo Sal


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Цена: 51230.00T
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Автор: Restivo Sal
Название:  Einstein`s Brain: Genius, Culture, and Social Networks
ISBN: 9783030329204
Издательство: Springer
Классификация:





ISBN-10: 3030329208
Обложка/Формат: Paperback
Страницы: 163
Вес: 0.22 кг.
Дата издания: 27.11.2020
Язык: English
Размер: 21.01 x 14.81 x 0.97 cm
Ссылка на Издательство: Link
Поставляется из: Германии
Описание: 1.
Einstein as a Grammatical Illusion2. The Social Self: Beyond the Myth of Individualism3. Einsteins Brain: A Conspiracy of Mythologies4. Genius: Standing on the Shoulders of Social Networks5. The Social Brain Paradigm6. The Social Brain: Implications For Therapeutic And Preventive Protocols In Psychiatry

The Self-Assembling Brain: How Neural Networks Grow Smarter

Автор: Hiesinger Peter Robin
Название: The Self-Assembling Brain: How Neural Networks Grow Smarter
ISBN: 0691181225 ISBN-13(EAN): 9780691181226
Издательство: Wiley
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Цена: 36960.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

What neurobiology and artificial intelligence tell us about how the brain builds itself

How does a neural network become a brain? While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in artificial intelligence strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network?

As Peter Robin Hiesinger argues, "the information problem" underlies both fields, motivating the questions driving forward the frontiers of research. How does genetic information unfold during the years-long process of human brain development--and is there a quicker path to creating human-level artificial intelligence? Is the biological brain just messy hardware, which scientists can improve upon by running learning algorithms on computers? Can AI bypass the evolutionary programming of "grown" networks? Through a series of fictional discussions between researchers across disciplines, complemented by in-depth seminars, Hiesinger explores these tightly linked questions, highlighting the challenges facing scientists, their different disciplinary perspectives and approaches, as well as the common ground shared by those interested in the development of biological brains and AI systems. In the end, Hiesinger contends that the information content of biological and artificial neural networks must unfold in an algorithmic process requiring time and energy. There is no genome and no blueprint that depicts the final product. The self-assembling brain knows no shortcuts.

Written for readers interested in advances in neuroscience and artificial intelligence, The Self-Assembling Brain looks at how neural networks grow smarter.


Brain Network Analysis

Автор: Moo K. Chung
Название: Brain Network Analysis
ISBN: 110718486X ISBN-13(EAN): 9781107184862
Издательство: Cambridge Academ
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Цена: 77090.00 T
Наличие на складе: Невозможна поставка.
Описание: This tutorial reference provides a coherent overview of statistical and mathematical approaches used in brain network analysis. It goes beyond graph theory to explore different models in network science, regression, and algebraic topology, empowering methodological understanding in a manner immediately usable to both researchers and students.


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