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[ subject:"Computational Neuroscience." ]
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Mathematical tools for neuroscience ...
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Clement, Richard A.
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Mathematical tools for neuroscience = a geometric approach /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Mathematical tools for neuroscience/ by Richard A. Clement.
其他題名:
a geometric approach /
作者:
Clement, Richard A.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
x, 162 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Neurosciences - Mathematics. -
電子資源:
https://doi.org/10.1007/978-3-030-98495-3
ISBN:
9783030984953
Mathematical tools for neuroscience = a geometric approach /
Clement, Richard A.
Mathematical tools for neuroscience
a geometric approach /[electronic resource] :by Richard A. Clement. - Cham :Springer International Publishing :2022. - x, 162 p. :ill. (some col.), digital ;24 cm. - Lecture notes in morphogenesis,2195-1942. - Lecture notes in morphogenesis..
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.
ISBN: 9783030984953
Standard No.: 10.1007/978-3-030-98495-3doiSubjects--Topical Terms:
610846
Neurosciences
--Mathematics.
LC Class. No.: QP357.5 / .C54 2022
Dewey Class. No.: 612.80151
Mathematical tools for neuroscience = a geometric approach /
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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.
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