Event-Based Neuromorphic Systems
The new book edited by Shih-Chii Liu, Tobi Delbruck, Giacomo Indiveri, Adrian Whatley and Rodney Douglas of the Institute of Neuroinformatics is an indispensable resource for practicing neuromorphic electronic engineers, advanced electrical engineering and computer science students and researchers interested in neuromorphic systems.
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.
* 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.