Event-Based Neuromorphic Systems (PDF)
(Sprache: Englisch)
Neuromorphic electronic engineering takes its inspiration from the functioning of nervous systems to build more power efficient electronic sensors and processors. Event-based neuromorphic systems are inspired by the brain's efficient data-driven...
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Neuromorphic electronic engineering takes its inspiration from the functioning of nervous systems to build more power efficient electronic sensors and processors. Event-based neuromorphic systems are inspired by the brain's efficient data-driven communication design, which is key to its quick responses and remarkable capabilities. This cross-disciplinary text establishes how circuit building blocks are combined in architectures to construct complete systems. These include vision and auditory sensors as well as neuronal processing and learning circuits that implement models of nervous systems.
Techniques for building multi-chip scalable systems are considered throughout the book, including methods for dealing with transistor mismatch, extensive discussions of communication and interfacing, and making systems that operate in the real world. The book also provides historical context that helps relate the architectures and circuits to each other and that guides readers to the extensive literature. Chapters are written by founding experts and have been extensively edited for overall coherence.
This pioneering text is an indispensable resource for practicing neuromorphic electronic engineers, advanced electrical engineering and computer science students and researchers interested in neuromorphic systems.
Key features:
* Summarises the latest design approaches, applications, and future challenges in the field of neuromorphic engineering.
* Presents examples of practical applications of neuromorphic design principles.
* Covers address-event communication, retinas, cochleas, locomotion, learning theory, neurons, synapses, floating gate circuits, hardware and software infrastructure, algorithms, and future challenges.
Techniques for building multi-chip scalable systems are considered throughout the book, including methods for dealing with transistor mismatch, extensive discussions of communication and interfacing, and making systems that operate in the real world. The book also provides historical context that helps relate the architectures and circuits to each other and that guides readers to the extensive literature. Chapters are written by founding experts and have been extensively edited for overall coherence.
This pioneering text is an indispensable resource for practicing neuromorphic electronic engineers, advanced electrical engineering and computer science students and researchers interested in neuromorphic systems.
Key features:
* Summarises the latest design approaches, applications, and future challenges in the field of neuromorphic engineering.
* Presents examples of practical applications of neuromorphic design principles.
* Covers address-event communication, retinas, cochleas, locomotion, learning theory, neurons, synapses, floating gate circuits, hardware and software infrastructure, algorithms, and future challenges.
Autoren-Porträt
Shih-Chii Liu is a group leader at the Institute ofNeuroinformatics, University of Zurich and ETH Zurich. She
received her Ph.D. in the Computation and Neural Systems program at
Caltech. She has been an instructor and topic organizer at the NSF
Telluride Neuromorphic Cognition Engineering Workshop in Telluride,
Colorado since 1998. She has also co-authored a book on analog VLSI
circuits (published by MIT Press), is an IEEE Senior member and has
held offices in a number of scientific and IEEE engineering
international conferences. Dr Liu has been working on event-based
vision and auditory sensors, multi-neuron networks, and
asynchronous circuits for more than 20 years.
Tobi Delbruck has been Professor of Physics and
Electrical Engineering at the Institute of Neuroinformatics since
1998. He leads the Sensors group which focuses on neuromorphic
sensors and processing. He received his Ph.D. in the Computation
and Neural Systems program at Caltech. He worked on
electronic imaging at Arithmos, Synaptics, National Semiconductor,
and Foveon. He co-organized the Telluride Neuromorphic Cognition
Engineering summer workshop and the live demonstration sessions at
ISCAS and NIPS, and is former chair of the IEEE CAS Sensory Systems
Technical Committee. He has been awarded 9 IEEE awards and is an
IEEE Fellow.
Giacomo Indiveri is a Professor at the University of
Zurich's Faculty of Science. He obtained his M.Sc. degree in
Electrical Engineering and his Ph.D. degree in Computer Science
from the University of Genoa, Italy. He is an ERC fellow and an
IEEE Senior member. His research interests lie in the study of real
and artificial neural processing systems, and in the hardware
implementation of neuromorphic cognitive systems, using full custom
analog and digital VLSI technology.
Adrian M. Whatley gained a degree in Chemistry at the
University of Bristol in England in 1986. After working for 10
years in the British computer industry, he took up
... mehr
his current
software engineering position at the Institute of Neuroinformatics
where he works primarily on asynchronous Address-Event
communication systems.
Rodney Douglas is a co-founder of the Institute of
Neuroinformatics. His central research interest over the past 25
years has been the nature of computation by the circuits of the
neocortex and their implementation both in software simulation, in
custom electronic hardware. The experimental aspect of his work has
inspired a number of cortical models of processing that use
recurrently connected neuronal architectures. He is currently
exploring principles of self-assembly in simple organisms and
circuits which he considers crucial for building truly autonomous
neuromorphic cognitive systems.
software engineering position at the Institute of Neuroinformatics
where he works primarily on asynchronous Address-Event
communication systems.
Rodney Douglas is a co-founder of the Institute of
Neuroinformatics. His central research interest over the past 25
years has been the nature of computation by the circuits of the
neocortex and their implementation both in software simulation, in
custom electronic hardware. The experimental aspect of his work has
inspired a number of cortical models of processing that use
recurrently connected neuronal architectures. He is currently
exploring principles of self-assembly in simple organisms and
circuits which he considers crucial for building truly autonomous
neuromorphic cognitive systems.
... weniger
Bibliographische Angaben
- 2014, 1. Auflage, 440 Seiten, Englisch
- Herausgegeben: Shih-Chii Liu, Tobi Delbruck, Giacomo Indiveri, Adrian Whatley, Rodney Douglas
- Verlag: John Wiley & Sons
- ISBN-10: 111892763X
- ISBN-13: 9781118927632
- Erscheinungsdatum: 23.12.2014
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