Read An Introduction to Neural Information Processing by Peiji Liang, Si Wu, Fanji Gu Online
[Peiji Liang, Si Wu, Fanji Gu] ☆ An Introduction to Neural Information Processing ☆ Download Online eBook or Kindle ePUB. An Introduction to Neural Information Processing This book begins with the anatomy of the central nervous system, followed by an introduction to various information processing models at different levels. 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. It is also provides inspiration for neuroscience students who are interested in learning how to use mathematics, physics o
| Title | : | An Introduction to Neural Information Processing |
| Author | : | |
| Rating | : | 4.41 (887 Votes) |
| Asin | : | 9401773912 |
| Format Type | : | paperback |
| Number of Pages | : | 328 Pages |
| Publish Date | : | 2016-12-16 |
| Language | : | English |
The authors all have extensive experience in mathematics, physics and biomedical engineering, and have worked in this multidisciplinary area for a number of years. 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 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. T
Her current research interest is focused on retinal information processing, particularly the spatial and temporal characteristics of population ganglion cells’ activity in encoding and transmitting the visual information, via both experimental and computational approaches. Prof. She also served as the chair of the Computational Neuroscience and Neural Engineering Branch
This book begins with the anatomy of the central nervous system, followed by an introduction to various information processing models at different levels. 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. 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.. The authors all have extensive experience in mathematics, physics and biomedical engineering, and have worked in this multidisciplinary area for a number of years. 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. The book is intended for r
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