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
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.