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» Neural networks for computational neuroscience
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NN
2008
Springer
107views Neural Networks» more  NN 2008»
15 years 6 months ago
Impact of temporal coding of presynaptic entorhinal cortex grid cells on the formation of hippocampal place fields
Many behavioural experiments have pointed out the important role played by the hippocampus in spatial navigation. This role was enlightened by the discovery of hippocampal cells i...
Colin Molter, Yoko Yamaguchi
NN
2008
Springer
169views Neural Networks» more  NN 2008»
15 years 6 months ago
Modeling a flexible representation machinery of human concept learning
dely acknowledged that categorically organized abstract knowledge plays a significant role in high-order human cognition. Yet, there are many unknown issues about the nature of ho...
Toshihiko Matsuka, Yasuaki Sakamoto, Arieta Chouch...
NN
2002
Springer
108views Neural Networks» more  NN 2002»
15 years 6 months ago
Dopamine: generalization and bonuses
In the temporal difference model of primate dopamine neurons, their phasic activity reports a prediction error for future reward. This model is supported by a wealth of experiment...
Sham Kakade, Peter Dayan
MLDM
2007
Springer
16 years 16 days ago
Ensemble-based Feature Selection Criteria
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
Terry Windeatt, Matthew Prior, Niv Effron, Nathan ...
IJCNN
2006
IEEE
16 years 13 days ago
An Adaptive Penalty-Based Learning Extension for Backpropagation and its Variants
Abstract— Over the years, many improvements and refinements of the backpropagation learning algorithm have been reported. In this paper, a new adaptive penalty-based learning ex...
Boris Jansen, Kenji Nakayama