HSPLS site
Login
My List - 0
Help
Search
My Account
Databases
HI Newspaper
eBooks/Audiobooks
Learning
PC Reservation
Reading Program
Basic
Advanced
Power
History
Search:
Title Browse
Author Browse
Subject Browse
Best Seller Browse
Music Title Browse
Video/DVD Title Browse
Journal/Newspaper Title Browse
Serial Title Browse
Series Browse (includes Bestseller List)
General Keyword
Title Keyword
Author Keyword
Subject Keyword
Name Keyword
Series Keyword
Score Title Browse
Talking Book Title Browse
Awards Note Browse
Bib No.
Barcode
Refine Search
> You're searching:
HAWAII STATE PUBLIC LIBRARY SYSTEM
Item Information
Holdings
Summary
More Content
More by this author
Hiesinger, Peter Robin, author.
Subjects
Neural networks (Computer science)
Neural circuitry -- Adaptation.
Learning -- Psysiological aspects.
Artificial intelligence.
Browse Catalog
by author:
Hiesinger, Peter Robin, author.
by title:
The self-assembling ...
MARC Display
The self-assembling brain : how neural networks grow smarter / Peter Robin Hiesinger.
by
Hiesinger, Peter Robin, author.
Princeton : Princeton University Press, [2021]
Subjects
Neural networks (Computer science)
Neural circuitry -- Adaptation.
Learning -- Psysiological aspects.
Artificial intelligence.
ISBN:
9780691181226 (hardback)
0691181225 (hardback)
Description:
xiii, 364 pages : illustrations (black and white) ; 25 cm
Requests:
0
Summary:
"In this book, Peter Robin Hiesinger explores historical and contemporary attempts to understand the information needed to make biological and artificial neural networks. Developmental neurobiologists and computer scientists with an interest in artificial intelligence - driven by the promise and resources of biomedical research on the one hand, and by the promise and advances of computer technology on the other - are trying to understand the fundamental principles that guide the generation of an intelligent system. Yet, though researchers in these disciplines share a common interest, their perspectives and approaches are often quite different. The book makes the case that "the information problem" underlies both fields, driving the questions that are driving forward the frontiers, and aims to encourage cross-disciplinary communication and understanding, to help both fields make progress. The questions that challenge researchers in these fields include the following. How does genetic information unfold during the years-long process of human brain development, and can this be a short-cut to create human-level artificial intelligence? Is the biological brain just messy hardware that can be improved upon by running learning algorithms in computers? Can artificial intelligence bypass evolutionary programming of "grown" networks? These questions are tightly linked, and answering them requires an understanding of how information unfolds algorithmically to generate functional neural networks. Via a series of closely linked "discussions" (fictional dialogues between researchers in different disciplines) and pedagogical "seminars," the author explores the different challenges facing researchers working on neural networks, their different perspectives and approaches, as well as the common ground and understanding to be found amongst those sharing an interest in the development of biological brains and artificial intelligent systems"--
Copy/Holding information
Location
Collection
Call No.
Status
Hawaii State Library
Business, Science & Technology
006.32 Hi
Checked In
Add Copy to MyList
Horizon Information Portal 3.25_9884
© 2001-2013
SirsiDynix
All rights reserved.