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136
Voted
NN
2000
Springer
15 years 4 months ago
2000
Springer
The aim of this paper is to study an Information Theory based learning theory for neural units endowed with adaptive activation functions. The learning theory has the target to fo...
124
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FPGA
2009
ACM
15 years 11 months ago
2009
ACM
Despite the popularity and success of neural networks in research, the number of resulting commercial or industrial applications have been limited. A primary cause of this lack of...
117
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ICANN
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. How can two distant neural assemblies synchronize their firings at zero-lag even in the presence of non-negligible delays in the transfer of information between them? He...
136
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TNN
1998
15 years 4 months ago
1998
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
149
Voted
NN
1998
Springer
15 years 4 months ago
1998
Springer
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...