1173 search results - page 175 / 235 » Neural networks for computational neuroscience |
147
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ECAL
2001
Springer
15 years 11 months ago
2001
Springer
This paper presents recent work in computational modelling of diffusing gaseous neuromodulators in biological nervous systems. It goes on to describe work in adaptive autonomous sy...
203
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IJON
2006
15 years 6 months ago
2006
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
158
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NECO
2007
15 years 5 months ago
2007
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
204
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ISNN
2009
Springer
16 years 29 days ago
2009
Springer
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
142
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IJCNN
2006
IEEE
16 years 13 days ago
2006
IEEE
— In this paper we have suggested a sparse three dimensional array model for the brain. Entries of the array are synaptic weights as functions of time. This is a typical four dim...