1173 search results - page 37 / 235 » Neural networks for computational neuroscience |
166
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GECCO
2004
Springer
15 years 11 months ago
2004
Springer
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
144
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IJON
2006
15 years 6 months ago
2006
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...
173
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IAJIT
2010
15 years 4 months ago
2010
: This paper presents an algorithm, which is a hybrid-computing algorithm in representing solid model. The proposed algorithm contains two steps namely reconstruction and represent...
153
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IJCNN
2006
IEEE
16 years 3 days ago
2006
IEEE
— Previously we have shown that chaos can arise in networks of physically realistic neurons [1], [2]. Those networks contain a moderate to large number of units connected in a sp...
166
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ITCC
2005
IEEE
15 years 11 months ago
2005
IEEE
The main focus of this study is to compare different performances of soft computing paradigms for predicting the direction of individuals stocks. Three different artificial intell...