1521 search results - page 116 / 305 » A learning model for oscillatory networks |
157
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ICANN
2005
Springer
16 years 8 hour ago
2005
Springer
While synaptic learning mechanisms have always been a core topic of neural computation research, there has been relatively little work on intrinsic learning processes, which change...
192
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NIPS
2008
15 years 8 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
175
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GECCO
2010
Springer
15 years 10 months ago
2010
Springer
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
166
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UAI
1997
15 years 7 months ago
1997
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
148
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TNN
2011
15 years 1 months ago
2011
—The idea that synchronized oscillations are important in cognitive tasks is receiving significant attention. In this view, single neurons are no longer elementary computational...