The Self-Assembling Brain, 9780691181226
Hardcover
How brains build themselves: where neuroscience and AI meet.

The Self-Assembling Brain

how neural networks grow smarter

$44.00

  • Hardcover

    384 pages

  • Release Date

    14 July 2021

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Summary

Unraveling the Brain: A Journey into Neurobiology and Artificial Intelligence

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 h…

Book Details

ISBN-13:9780691181226
ISBN-10:0691181225
Author:Peter Robin Hiesinger
Publisher:Princeton University Press
Imprint:Princeton University Press
Format:Hardcover
Number of Pages:384
Release Date:14 July 2021
Weight:710g
Dimensions:235mm x 155mm
What They're Saying

Critics Review

“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 Jóźwik, 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“

For anyone interested in the brain, or AI, or any of the myriad of branches and subbranches of each, I would highly recommend this!

”—Jonathan Shock, Mathemafrica

About The Author

Peter Robin Hiesinger

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

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