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Mathematical Tools for Neuroscience - A Geometric Approach (Hardcover, 1st ed. 2022)
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Mathematical Tools for Neuroscience - A Geometric Approach (Hardcover, 1st ed. 2022)
Series: Lecture Notes in Morphogenesis
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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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