Authors:
- Presents neuroscience from a computational perspective so that the subject can be easily understood by non-biologists
- Addresses the underlying neural principles without the use of mathematics so that biology students can understand the concepts
- Does not merely present a descriptive account of the brain, as many classical biology books do
- Written in an easy, engaging style that makes reading a pleasure and rewarding experience
- Equips students with the conceptual tools necessary to prepare them for a research career in neuroscience
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Table of contents (12 chapters)
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Front Matter
About this book
This book presents an emerging new vision of the brain, which is essentially expressed in computational terms, for non-experts. As such, it presents the fundamental concepts of neuroscience in simple language, without overwhelming non-biologists with excessive biological jargon. In addition, the book presents a novel computational perspective on the brain for biologists, without resorting to complex mathematical equations.
It addresses a comprehensive range of topics, starting with the history of neuroscience, the function of the individual neuron, the various kinds of neural network models that can explain diverse neural phenomena, sensory-motor function, language, emotions, and concluding with the latest theories on consciousness. The book offers readers a panoramic introduction to the “new brain” and a valuable resource for interdisciplinary researchers looking to gatecrash the world of neuroscience.
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Authors and Affiliations
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Indian Institute of Technology Madras, Chennai, India
V. Srinivasa Chakravarthy
About the author
V. Srinivasa Chakravarthy obtained his PhD degree from the University of Texas at Austin and completed his postdoctoral training at Baylor College of Medicine, Houston. He is currently a Professor of Biology at the Indian Institute of Technology Madras, India. His research interests are in the areas of computational neuroscience and machine learning. In computational neuroscience, his research focuses on the modeling of basal ganglia to understand Parkinson’s Disease, modeling neuron-astrocyte-vascular networks, and modeling spatial cells of the hippocampus. Further, his work on character recognition in Indic scripts led him to develop the Bharati Script—a simple and unified script that can be used to express all major Indian languages.
Bibliographic Information
Book Title: Demystifying the Brain
Book Subtitle: A Computational Approach
Authors: V. Srinivasa Chakravarthy
DOI: https://doi.org/10.1007/978-981-13-3320-0
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-13-3319-4Published: 18 December 2018
eBook ISBN: 978-981-13-3320-0Published: 07 December 2018
Edition Number: 1
Number of Pages: XVII, 378
Number of Illustrations: 61 b/w illustrations, 101 illustrations in colour
Topics: Computational Biology/Bioinformatics, User Interfaces and Human Computer Interaction, Neurosciences