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This book provides an overview of neural information processing
research, which is one of the most important branches of
neuroscience today. Neural information processing is an
interdisciplinary subject, and the merging interaction between
neuroscience and mathematics, physics, as well as information
science plays a key role in the development of this field. This
book begins with the anatomy of the central nervous system,
followed by an introduction to various information processing
models at different levels. The authors all have extensive
experience in mathematics, physics and biomedical engineering, and
have worked in this multidisciplinary area for a number of years.
They present classical examples of how the pioneers in this field
used theoretical analysis, mathematical modeling and computer
simulation to solve neurobiological problems, and share their
experiences and lessons learned. The book is intended for
researchers and students with a mathematics, physics or informatics
background who are interested in brain research and keen to
understand the necessary neurobiology and how they can use their
specialties to address neurobiological problems. It is also
provides inspiration for neuroscience students who are interested
in learning how to use mathematics, physics or informatics
approaches to solve problems in their field.
This book provides an overview of neural information processing
research, which is one of the most important branches of
neuroscience today. Neural information processing is an
interdisciplinary subject, and the merging interaction between
neuroscience and mathematics, physics, as well as information
science plays a key role in the development of this field. This
book begins with the anatomy of the central nervous system,
followed by an introduction to various information processing
models at different levels. The authors all have extensive
experience in mathematics, physics and biomedical engineering, and
have worked in this multidisciplinary area for a number of years.
They present classical examples of how the pioneers in this field
used theoretical analysis, mathematical modeling and computer
simulation to solve neurobiological problems, and share their
experiences and lessons learned. The book is intended for
researchers and students with a mathematics, physics or informatics
background who are interested in brain research and keen to
understand the necessary neurobiology and how they can use their
specialties to address neurobiological problems. It is also
provides inspiration for neuroscience students who are interested
in learning how to use mathematics, physics or informatics
approaches to solve problems in their field.
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