An analog memory circuit for spiking silicon neurons
Neural Computation
On the complexity of learning for a spiking neuron (extended abstract)
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Low-Power CMOS Analog Signal Processing Using Spatial Mapping
Analog Integrated Circuits and Signal Processing - Special issue on selected papers from the 1997 NORCHIP conference
Considerations about Nanoelectronic GSI Processors
Analog Integrated Circuits and Signal Processing - Special issue on analog nano-electronics
On the relevance of time in neural computation and learning
Theoretical Computer Science
Neuromorphic Synapses for Artificial Dendrites
Analog Integrated Circuits and Signal Processing
On the Performance of Pulsed and Spiking Neurons
Analog Integrated Circuits and Signal Processing
Analog VLSI Implementation of Artificial Neural Networks with Supervised On-Chip Learning
Analog Integrated Circuits and Signal Processing
On computing Boolean functions by a spiking neuron
Annals of Mathematics and Artificial Intelligence
Neural Networks-Extraordinary Variation
IEEE Micro
A Throughput-On-Demand Address-Event Transmitter for Neuromorphic Chips
ARVLSI '99 Proceedings of the 20th Anniversary Conference on Advanced Research in VLSI
Theoretical and Implementation Aspects of Pulse Streams: an Overview
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
Lower bounds for the computational power of networks of spiking neurons
Neural Computation
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
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From the Publisher:Analogue VLSI is an important medium for the implementation of neural networks and the authors' aim in this book is to explore this technique in detail. This book compares a variety of approaches, giving readers an appreciation of analogue neural VLSI through examples of each approach rather than by means of an exhaustive survey.