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» Modeling spiking neural networks
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NN
2008
Springer
169views Neural Networks» more  NN 2008»
15 years 1 months ago
Modeling a flexible representation machinery of human concept learning
dely acknowledged that categorically organized abstract knowledge plays a significant role in high-order human cognition. Yet, there are many unknown issues about the nature of ho...
Toshihiko Matsuka, Yasuaki Sakamoto, Arieta Chouch...
NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 1 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
IJON
2007
85views more  IJON 2007»
15 years 1 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
NN
2007
Springer
103views Neural Networks» more  NN 2007»
15 years 1 months ago
Emergence of sequence sensitivity in a hippocampal CA3-CA1 model
Recent studies have shown that place cells in the hippocampal CA1 region fire in a sequence sensitive manner. In this study we tested if hippocampal CA3 and CA1 regions can give ...
Motoharu Yoshida, Hatsuo Hayashi
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WISE
2006
Springer
15 years 8 months ago
Finding Reliable Recommendations for Trust Model
This paper presents a novel context-based approach to find reliable recommendations for trust model in ubiquitous environments. Context is used in our approach to analyze the user...
Weiwei Yuan, Donghai Guan, Sungyoung Lee, Young-Ko...