1173 search results - page 104 / 235 » Neural networks for computational neuroscience |
156
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TCAD
2010
15 years 1 months ago
2010
Artificial neural networks (ANNs) have shown great promise in modeling circuit parameters for computer aided design applications. Leakage currents, which depend on process paramete...
174
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EUROCOLT
1997
Springer
15 years 10 months ago
1997
Springer
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
180
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ICANN
2005
Springer
15 years 11 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
231
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ICES
2010
Springer
15 years 4 months ago
2010
Springer
Recently, a reconfigurable and biologically inspired paradigm based on network-on-chip (NoC) and spiking neural networks (SNNs) has been proposed as a new method of realising an ef...
187
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IROS
2009
IEEE
16 years 28 days ago
2009
IEEE
- A phoneme-acquisition system was developed using a computational model that explains the developmental process of human infants in the early period of acquiring language. There a...