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FCCM
2007
IEEE
168views VLSI» more  FCCM 2007»
15 years 3 months ago
Discrete-Time Cellular Neural Networks in FPGA
This paper describes a novel architecture for the hardware implementation of non-linear multi-layer cellular neural networks. This makes it feasible to design CNNs with millions o...
J. Javier Martínez-Álvarez, F. Javie...
IJON
2002
130views more  IJON 2002»
15 years 2 months ago
Error-backpropagation in temporally encoded networks of spiking neurons
For a network of spiking neurons that encodes information in the timing of individual spike times, we derive a supervised learning rule, SpikeProp, akin to traditional errorbackpr...
Sander M. Bohte, Joost N. Kok, Johannes A. La Pout...
TIT
2002
89views more  TIT 2002»
15 years 2 months ago
Comparison of worst case errors in linear and neural network approximation
Sets of multivariable functions are described for which worst case errors in linear approximation are larger than those in approximation by neural networks. A theoretical framework...
Vera Kurková, Marcello Sanguineti
ICASSP
2011
IEEE
14 years 6 months ago
Robust distributed detection, localization, and estimation of a diffusive target in clustered wireless sensor networks
Robust operation of wireless sensor networks deployed in harsh environment is important in many application. In this paper, we develop a robust technique for distributed detection...
Sami Aldalahmeh, Mounir Ghogho
JCNS
2008
67views more  JCNS 2008»
15 years 3 months ago
Mechanism of gain modulation at single neuron and network levels
Gain modulation, in which the sensitivity of a neural response to one input is modified by a second input, is studied at single-neuron and network levels. At the single neuron leve...
M. Brozovic, L. F. Abbott, R. A. Andersen