This study book, written by Shih-Chii Liu, provides an in-depth overview of neuromorphic electronic engineering. It focuses on designing energy-efficient sensors and processors inspired by the functioning of the nervous system. The text covers neuromorphic systems with a particular emphasis on event-based communication, essential for fast and efficient processing.
Description
The book explains how circuit components are combined into complete architectures for neuromorphic systems, such as visual and auditory sensors, and neural processing and learning circuits. It addresses scalable multi-chip systems, dealing with transistor variations, and communication and interfacing techniques that support realistic applications. In addition, the work places the technology in a historical context and refers to relevant literature.
This edition is indispensable for engineers, advanced students, and researchers in neuromorphic electronic and sensor development who are looking for a practical and theoretical framework.
Features
- Covers current design principles and applications in neuromorphic electronic engineering.
- Discusses a variety of topics such as address-event communication, retinas, cochleas, learning, neurons, synapses, and hardware-software infrastructures.
- Authorized by Shih-Chii Liu, affiliated with the Institute of Neuroinformatics, University of Zurich.
Product specifications
- Author: Shih-Chii Liu (University of Zurich, Switzerland)
- Publisher: John Wiley & Sons Inc
- Publication date: 2015-01-30
- Number of pages: 440
- ISBN: 9780470018491
- Subject: Electronics: circuits and components
- BISAC: TECHNOLOGY & ENGINEERING / Electronics / Circuits / General
About the author
Shih-Chii Liu is group leader at the Institute of Neuroinformatics at the University of Zurich and ETH Zurich. With a Ph.D. in Computation and Neural Systems from Caltech, she is an expert in neuromorphic systems, with more than twenty years of experience in event-based vision and auditory sensors, and neural networks.
Tobi Delbruck has been a professor of Physics and Electrical Engineering at the same institute since 1998, specializing in neuromorphic sensors and processing.