1173 search results - page 64 / 235 » Neural networks for computational neuroscience |
176
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ESANN
2007
15 years 7 months ago
2007
Due to the scale and computational complexity of current simulation codes, metamodels (or surrogate models) have become indispensable tools for exploring and understanding the desi...
136
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IJON
2000
15 years 6 months ago
2000
The complexity of neural networks of the brain makes studying these networks through computer simulation challenging. Conventional methods, where one models thousands of individua...
149
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SBRN
2000
IEEE
15 years 10 months ago
2000
IEEE
This paper explores basic aspects of the immune system and proposes a novel immune network model with the main goals of clustering and filtering unlabeled numerical data sets. It ...
166
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WAPCV
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
178
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ISNN
2005
Springer
15 years 11 months ago
2005
Springer
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...