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» Optimal spontaneous activity in neural network modeling
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NN
2002
Springer
108views Neural Networks» more  NN 2002»
14 years 9 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
ICRA
2002
IEEE
161views Robotics» more  ICRA 2002»
15 years 3 months ago
A Method for Co-Evolving Morphology and Walking Pattern of Biped Humanoid Robot
— In this paper, we present a method for co-evolving structures and controller of biped walking robots. Currently, biped walking humanoid robots are designed manually on trial-an...
Ken Endo, Fuminori Yamasaki, Takashi Maeno, Hiroak...
NECO
2010
154views more  NECO 2010»
14 years 8 months ago
Role of Homeostasis in Learning Sparse Representations
Neurons in the input layer of primary visual cortex in primates develop edge-like receptive fields. One approach to understanding the emergence of this response is to state that ...
Laurent U. Perrinet
EDBT
2008
ACM
194views Database» more  EDBT 2008»
15 years 10 months ago
XCraft: boosting the performance of active XML materialization
An active XML (AXML) document contains tags representing calls to Web services. Therefore, retrieving its contents consists in materializing its data elements by invoking the embe...
Gabriela Ruberg, Marta Mattoso
NN
2000
Springer
161views Neural Networks» more  NN 2000»
14 years 9 months ago
How good are support vector machines?
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Sarunas Raudys