Nanoscale devices attracted significant research effort from the industry and academia due to their operation principals being based on different physical properties which provide advantages in the design of certain classes of circuits over conventional CMOS transistors.

Neuromorphic Circuits for Nanoscale Devices contains recent research papers presented in various international conferences and journals to provide insight into how the operational principles of the nanoscale devices can be utilized for the design of neuromorphic circuits for various applications of non-volatile memory, neural network training/learning, and image processing.

Table of Content:

Introduction; 1. Crossbar Memory Simulation and Performance Evaluation; 2. Memristor Digital Memory; 3. Multi-Level Memory Architecture; 4. Neuromorphic Building Blocks with Memristors; 5. Value Iteration with Memristors; 6. 2-D Array of Multi-Peak Resonant Tunneling Diodes Based Color Image Processing; 7. Color Image Processing with Multi-Peak Resonant Tunneling Diodes; 8. Design of a Velocity-Tuned Filter Using a Matrix of Resonant Tunneling Diodes; 9. Image Processing by a Programmable Artificial Retina Comprising Quantum Dots