Contents

#### **Preface XI**



Preface

structures.

*We are accused of going against the times. We are doing that deliberately and with all our strength.*

Neural networks significantly deal with a large area of applications such as image process‐ ing, speech recognition, natural language processing, and bioinformatics. Unfortunately, it is still difficult to fully analyze the inference provided by a layered neural network, as it

Therefore, nowadays scientific research deals with alternative solutions for analyzing neural network architectures where the stochastic nature and live dynamics of memristive models play a key role. The features of memristors make it possible to direct processing and analy‐ sis of both biosystems and systems driven by artificial intelligence, as well as to develop

This book deals with advanced applications illustrating these new concepts, and delivers an important contribution for the achievement of the next generation of intelligent hybrid bio‐

Different modeling and simulation tools can deliver an alternative to funding the theoretical

contains complex parameters embedded in hierarchical layers.

plausible physical models of spiking neural networks with self-organization.

approach as well as practical implementation of memristive systems.

—Lanza del Vasto

**Dr. Calin Ciufudean** Associate Professor

Suceava, Romania

"Stefan cel Mare" University
