Search Results

Mathematical Tools for Neuroscience

Download or Read eBook Mathematical Tools for Neuroscience PDF written by Richard A. Clement and published by Springer Nature. This book was released on 2022-04-21 with total page 168 pages. Available in PDF, EPUB and Kindle.
Mathematical Tools for Neuroscience
Author :
Publisher : Springer Nature
Total Pages : 168
Release :
ISBN-10 : 9783030984953
ISBN-13 : 3030984958
Rating : 4/5 (53 Downloads)

Book Synopsis Mathematical Tools for Neuroscience by : Richard A. Clement

Book excerpt: This book provides a brief but accessible introduction to a set of related, mathematical ideas that have proved useful in understanding the brain and behaviour. If you record the eye movements of a group of people watching a riverside scene then some will look at the river, some will look at the barge by the side of the river, some will look at the people on the bridge, and so on, but if a duck takes off then everybody will look at it. How come the brain is so adept at processing such biological objects? In this book it is shown that brains are especially suited to exploiting the geometric properties of such objects. Central to the geometric approach is the concept of a manifold, which extends the idea of a surface to many dimensions. The manifold can be specified by collections of n-dimensional data points or by the paths of a system through state space. Just as tangent planes can be used to analyse the local linear behaviour of points on a surface, so the extension to tangent spaces can be used to investigate the local linear behaviour of manifolds. The majority of the geometric techniques introduced are all about how to do things with tangent spaces. Examples of the geometric approach to neuroscience include the analysis of colour and spatial vision measurements and the control of eye and arm movements. Additional examples are used to extend the applications of the approach and to show that it leads to new techniques for investigating neural systems. An advantage of following a geometric approach is that it is often possible to illustrate the concepts visually and all the descriptions of the examples are complemented by comprehensively captioned diagrams. The book is intended for a reader with an interest in neuroscience who may have been introduced to calculus in the past but is not aware of the many insights obtained by a geometric approach to the brain. Appendices contain brief reviews of the required background knowledge in neuroscience and calculus.


Mathematical Tools for Neuroscience Related Books

Mathematics for Neuroscientists
Language: en
Pages: 630
Authors: Fabrizio Gabbiani
Categories: Mathematics
Type: BOOK - Published: 2017-02-04 - Publisher: Academic Press

DOWNLOAD EBOOK

Mathematics for Neuroscientists, Second Edition, presents a comprehensive introduction to mathematical and computational methods used in neuroscience to describ
Mathematical Tools for Neuroscience
Language: en
Pages: 168
Authors: Richard A. Clement
Categories: Mathematics
Type: BOOK - Published: 2022-04-21 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book provides a brief but accessible introduction to a set of related, mathematical ideas that have proved useful in understanding the brain and behaviour.
Mathematical Neuroscience
Language: en
Pages: 201
Authors: Stanislaw Brzychczy
Categories: Mathematics
Type: BOOK - Published: 2013-08-16 - Publisher: Academic Press

DOWNLOAD EBOOK

Mathematical Neuroscience is a book for mathematical biologists seeking to discover the complexities of brain dynamics in an integrative way. It is the first re
Models of the Mind
Language: en
Pages: 401
Authors: Grace Lindsay
Categories: Science
Type: BOOK - Published: 2021-03-04 - Publisher: Bloomsbury Publishing

DOWNLOAD EBOOK

The human brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For more than a century, a diverse array of researchers sea
Mathematical Foundations of Neuroscience
Language: en
Pages: 434
Authors: G. Bard Ermentrout
Categories: Mathematics
Type: BOOK - Published: 2010-07-01 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activit
Scroll to top