Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions)

This book is a game-changer for anyone looking to understand the intricacies of neural information theory.

With its unique blend of mathematical rigor and accessible explanations, it's the perfect introduction to this complex field.

Using Shannon's theory of information, the author delves into the computational efficiency of neurons and how they process visual perception.

The book provides a comprehensive overview of the absolute limits on neural processing, which are determined by the neuroanatomical microstructure of the eye and brain.

The tutorial approach adopted makes it easy for readers to follow along, regardless of their mathematical background.

This is an essential read for anyone interested in the why of neural coding - why do neurons send signals the way they do? With its engaging writing style and wealth of examples, this book will keep you hooked from start to finish.

Don't miss out on this opportunity to unlock the secrets of the brain!