Hebb's postulate provided a crucial framework to understand synaptic alterations underlying learning and memory. Hebb's theory proposed that neurons that fire t

This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. It is divided into three

This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

This book is intended as a text for a one-semester course on Mathematical and Computational Neuroscience for upper-level undergraduate and beginning graduate st