559 search results - page 75 / 112 » Neural methods for non-standard data |
137
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NIPS
2007
15 years 5 months ago
2007
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
136
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ALIFE
2006
15 years 4 months ago
2006
One of the major challenges in the field of neurally driven evolved autonomous agents is deciphering the neural mechanisms underlying their behavior. Aiming at this goal, we have d...
128
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NN
2008
Springer
15 years 4 months ago
2008
Springer
Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at the edge of stability,...
143
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FSKD
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
119
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IJCNN
2007
IEEE
15 years 10 months ago
2007
IEEE
— The Self-Organising Map is a popular unsupervised neural network model which has successfully been used for clustering various kinds of data. To help in understanding the infl...