期刊名称：Neural Information Processing: Letters and Reviews
电子版ISSN：1738-2532
出版年度：2007
卷号：11
期号：4-6
页码：135-146
出版社：Neural Information Processing
摘要：Neuromorphic circuits are being used to develop a new generation of computing technologies based on the
organizing principles of the biological nervous system. Within this context, we present neuromorphic circuits
for implementing massively parallel VLSI networks of integrate-and-fire neurons with adaptation and spike-based
plasticity mechanisms. We describe both analog continuous time and digital asynchronous event-based circuits for
constructing spiking neural network devices, and present a VLSI implementation of a spikebased learning mechanisms
for carrying out robust classification of spatio-temporal patterns, and real–time sensory signal processing. We argue
that these types of devices have great potential for exploiting future scaled VLSI processes and are ideal for
implementing sensorymotor processing units on autonomous and humanoid robots.
