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IJON
2006
79views more  IJON 2006»
15 years 6 months ago
Fast computation with neural oscillators
This paper studies new spike-based models for winner-take-all computation and coincidence detection. In both cases, very fast convergence is achieved independent of initial condit...
Wei Wang 0008, Jean-Jacques E. Slotine
ICECCS
2005
IEEE
87views Hardware» more  ICECCS 2005»
15 years 12 months ago
Scavenging Complex Genomic Information Using Mobile Code: An Evaluation
Mobile code solutions can improve the performances of applications over the Internet by reducing the amount of data that must be transferred across the network. The research on ge...
Mauro Pezzè, Davide Tosi, Gian Pietro Picco
SIGKDD
2000
112views more  SIGKDD 2000»
15 years 6 months ago
Artificial Neural Networks - A Science in Trouble
This article points out some very serious misconceptions about the brain in connectionism and artificial neural networks. Some of the connectionist ideas have been shown to have l...
Asim Roy
TNN
2008
88views more  TNN 2008»
15 years 6 months ago
A New Approach to Knowledge-Based Design of Recurrent Neural Networks
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
Eyal Kolman, Michael Margaliot
ESANN
1998
15 years 7 months ago
A self-organising neural network for modelling cortical development
This paper presents a novel self-organising neural network. It has been developed for use as a simpli ed model of cortical development. Unlike many other models of topological map...
Michael W. Spratling, Gillian Hayes