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The Self-Assembling Brain: How Neural Networks Grow Smarter

Hardback

Main Details

Title The Self-Assembling Brain: How Neural Networks Grow Smarter
Authors and Contributors      By (author) Peter Robin Hiesinger
Physical Properties
Format:Hardback
Pages:384
Dimensions(mm): Height 235,Width 155
Category/GenreNeurosciences
Artificial intelligence
ISBN/Barcode 9780691181226
ClassificationsDewey:006.32
Audience
Tertiary Education (US: College)
Professional & Vocational
Illustrations 49 b/w illus.

Publishing Details

Publisher Princeton University Press
Imprint Princeton University Press
Publication Date 4 May 2021
Publication Country United States

Description

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

Author Biography

Peter Robin Hiesinger is professor of neurobiology at Freie Universitat Berlin, where he teaches undergraduate and graduate students and leads a research laboratory and a multilab research consortium on neural networks.

Reviews

"Hiesinger elegantly moves through a variety of topics, ranging from biological development to AI and ending with a discussion of the advances that deep neural networks have brought to the field of brain-machine interfaces."---Kamila Maria Jozwik, Science "Hiesinger suggests that instead of looking at the brain from an endpoint perspective, we should study how information encoded in the genome is transformed to become the brain as we grow. . . . The Self-Assembling Brain is organized as a series of seminar presentations interspersed with discussions between a robotics engineer, a neuroscientist, a geneticist, and an AI researcher. The thought-provoking conversations help to understand the views and the holes of each field on topics related to the mind, the brain, intelligence, and AI."---Ben Dickson, TechTalks