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GECCO
2003
Springer
268views Optimization» more  GECCO 2003»
14 years 1 months ago
A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
Abdesselam Bouzerdoum, Rainer Mueller
NIPS
2000
13 years 9 months ago
Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks
It has long been known that lateral inhibition in neural networks can lead to a winner-take-all competition, so that only a single neuron is active at a steady state. Here we show...
Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian...
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
14 years 2 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
AUTOMATICA
2008
78views more  AUTOMATICA 2008»
13 years 8 months ago
A mathematical framework for the control of piecewise-affine models of gene networks
This article introduces results on the control of gene networks, in the context of piecewise-affine models. We propose an extension of this well-documented class of models, where ...
Etienne Farcot, Jean-Luc Gouzé
ICNP
2002
IEEE
14 years 24 days ago
Incentive Engineering in Wireless LAN Based Access Networks
Traffic regulation in public and private wireless LANs face a number of significant challenges, particularly in commercial networks where there is a need for efficient regulati...
Raymond R.-F. Liao, Rita H. Wouhaybi, Andrew T. Ca...