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» Evolving a neural network using dyadic connections
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79
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IWANN
1997
Springer
15 years 1 months ago
Gray-Level Object Segmentation with a Network of FitzHugh-Nagumo Oscillators
Abstract. In this paper we adopt a temporal coding approach to neuronal modeling of the visual cortex, using oscillations. We propose a hierarchy of three processing modules corres...
Abderrahim Labbi, Ruggero Milanese, Holger Bosch
83
Voted
BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
15 years 4 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...
ACSW
2004
14 years 11 months ago
A Market-based Rule Learning System
In this paper, a `market trading' technique is integrated with the techniques of rule discovery and refinement for data mining. A classifier system-inspired model, the market...
Qingqing Zhou, Martin K. Purvis
IJON
2007
85views more  IJON 2007»
14 years 9 months ago
Hierarchical dynamical models of motor function
Hierarchical models of motor function are described in which the motor system encodes a hierarchy of dynamical motor primitives. The models are based on continuous attractor neura...
Simon M. Stringer, Edmund T. Rolls
67
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GECCO
2005
Springer
125views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolutionary models for maternal effects in simulated developmental systems
Maternal influence on offspring goes beyond strict nuclear (DNA) inheritance: inherited maternal mRNA, mitochondria, caring and nurturing are all additional sources that affect...
Artur Matos, Reiji Suzuki, Takaya Arita