© 2019

Demystifying the Brain

A Computational Approach


Table of contents

  1. Front Matter
    Pages i-xvii
  2. V. Srinivasa Chakravarthy
    Pages 1-19
  3. V. Srinivasa Chakravarthy
    Pages 21-56
  4. V. Srinivasa Chakravarthy
    Pages 57-82
  5. V. Srinivasa Chakravarthy
    Pages 83-107
  6. V. Srinivasa Chakravarthy
    Pages 109-140
  7. V. Srinivasa Chakravarthy
    Pages 141-168
  8. V. Srinivasa Chakravarthy
    Pages 169-210
  9. V. Srinivasa Chakravarthy
    Pages 211-243
  10. V. Srinivasa Chakravarthy
    Pages 245-284
  11. V. Srinivasa Chakravarthy
    Pages 285-319
  12. V. Srinivasa Chakravarthy
    Pages 321-347
  13. V. Srinivasa Chakravarthy
    Pages 349-378

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.


Computational Neuroscience Computational Approach to understand brain Theories of consciousness Neuroscience of language Sensory-motor function

Authors and affiliations

  1. 1.Indian Institute of Technology MadrasChennaiIndia

About the authors

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

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“This very good book on basic neuroscience presents interesting concepts. It is a complete analysis in every way. … the book will help readers better understand neuroscience-related concepts by broadly presenting and discussing some very interesting questions. It is certainly worth reading.” (João Luís G. Rosa, Computing Reviews, October 28, 2019)