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NCI
2004
198views Neural Networks» more  NCI 2004»
15 years 4 months ago
A "spiking" bidirectional associative memory for modeling intermodal priming
Starting from a modular artificial neural system modelling the integration of several perceptive stimuli, this article proposes a new implementation of the central module performi...
David Meunier, Hélène Paugam-Moisy
WSC
2000
15 years 4 months ago
Simulation as educational support for production and logistics in industrial engineering
The proposed implementation is a monitor system able to train operators for on-line real time manufacturing control in order to analyze the performance of a production process. Th...
Agostino G. Bruzzone, Pietro Giribone, Roberto Rev...
TSMC
2010
14 years 9 months ago
Cellular Learning Automata With Multiple Learning Automata in Each Cell and Its Applications
The cellular learning automaton (CLA), which is a4 combination of cellular automaton (CA) and learning automaton5 (LA), is introduced recently. This model is superior to CA because...
Hamid Beigy, Mohammad Reza Meybodi
ICANN
1997
Springer
15 years 7 months ago
On-Line Hebbian Learning for Spiking Neurons: Architecture of the Weight-Unit of NESPINN
: We present the implementation of on-line Hebbian learning for NESPINN, the Neurocomputer for the simulation of spiking neurons. In order to support various forms of Hebbian learn...
Ulrich Roth, Axel Jahnke, Heinrich Klar
NIPS
2007
15 years 4 months ago
Gaussian Process Models for Link Analysis and Transfer Learning
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
Kai Yu, Wei Chu