|    Login    |    Register

The Self-Assembling Brain: How Neural Networks Grow Smarter

(Hardback)

Available Formats


Publishing Details

Full Title:

The Self-Assembling Brain: How Neural Networks Grow Smarter

Contributors:
ISBN:

9780691181226

Publisher:

Princeton University Press

Imprint:

Princeton University Press

Publication Date:

15th July 2021

Country:

United States

Classifications

Readership:

Tertiary Education

Fiction/Non-fiction:

Non Fiction

Main Subject:
Other Subjects:

Cognitive and behavioural neuroscience
Biophysics
Cognition and cognitive psychology
Physiological and neuro-psychology, biopsychology
Artificial intelligence

Dewey:

006.32

Physical Properties

Physical Format:

Hardback

Number of Pages:

384

Dimensions:

Width 155mm, Height 235mm

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

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 Jwik, 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

Author Bio

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

See all

Other titles by Peter Robin Hiesinger

See all

Other titles from Princeton University Press