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The Self-Assembling Brain: How Neural Networks Grow Smarter
Paperback / softback
Main Details
Title |
The Self-Assembling Brain: How Neural Networks Grow Smarter
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Authors and Contributors |
By (author) Peter Robin Hiesinger
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Physical Properties |
Format:Paperback / softback | Pages:384 | Dimensions(mm): Height 235,Width 156 |
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Category/Genre | Neurosciences Artificial intelligence |
ISBN/Barcode |
9780691241692
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Classifications | Dewey:006.32 |
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Audience | Tertiary Education (US: College) | Professional & Vocational | |
Illustrations |
49 b/w illus.
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Publishing Details |
Publisher |
Princeton University Press
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Imprint |
Princeton University Press
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Publication Date |
13 December 2022 |
Publication Country |
United States
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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
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