Skip to search
Skip to main content
Catalog
Help
Feedback
Your Account
Library Account
Bookmarks
(
0
)
Search History
Search in
Keyword
Title (keyword)
Author (keyword)
Subject (keyword)
Title starts with
Subject (browse)
Author (browse)
Author (sorted by title)
Call number (browse)
search for
Search
Advanced Search
Bookmarks
(
0
)
Princeton University Library Catalog
Start over
Cite
Send
to
SMS
Email
EndNote
RefWorks
RIS
Printer
Bookmark
Models of the mind : how physics, engineering and mathematics have shaped our understanding of the brain / Grace Lindsay.
Author
Lindsay, Grace (Computational neuroscientist)
[Browse]
Format
Book
Language
English
Published/Created
London ; New York : Bloomsbury Sigma, 2021
©2021
Description
400 pages : illustrations (black and white) ; 22 cm
Availability
Copies in the Library
Location
Call Number
Status
Location Service
Notes
Firestone Library - Stacks
QP360.5 .L56 2021
Browse related items
Request
Details
Subject(s)
Computational neuroscience
[Browse]
Brain
—
Mathematical models
[Browse]
Series
Bloomsbury Sigma series
Summary note
"The brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For over a century, a diverse array of researchers have been trying to find a language that can be used to capture the essence of what these neurons do and how they communicate - and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it. In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when bringing the abstract world of mathematical modelling into contact with the messy details of biology. Each chapter focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain - the individual neuron - through to circuits of interacting neurons, whole brain areas and even the behaviors that brains command. Throughout Grace will look at the history of the field, starting with experiments done on neurons in frog legs at the turn of the twentieth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. She demonstrates the value of describing the machinery of neuroscience using the elegant language of mathematics, and reveals in full the remarkable fruits of this endeavor."--Amazon.com
Bibliographic references
Includes bibliographical references and index.
Contents
Spherical cows
How neurons got their spike
Learning to compute
Making and maintaining memories
Excitation and inhibition
Stages of sight
Cracking the neural code
Movement in low dimensions
From structure to function
Making rational decisions
How rewards guide actions
Grand unified theories of the brain.
Show 9 more Contents items
ISBN
9781472966421 ((hardback))
1472966422 ((hardback))
9781472966438 ((paperback) :)
1472966430 ((paperback))
OCLC
1139353269
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
Read more...
Other views
Staff view
Ask a Question
Suggest a Correction
Report Harmful Language
Supplementary Information