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» A theoretical framework for multiple neural network systems
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NN
2000
Springer
170views Neural Networks» more  NN 2000»
13 years 8 months ago
Synthetic brain imaging: grasping, mirror neurons and imitation
The article contributes to the quest to relate global data on brain and behavior (e.g. from PET, Positron Emission Tomography, and fMRI, functional Magnetic Resonance Imaging) to ...
Michael A. Arbib, Aude Billard, Marco Iacoboni, Er...
DCC
2009
IEEE
14 years 9 months ago
Multi Level Multiple Descriptions
Multiple Description (MD) source coding is a method to overcome unexpected information loss in a diversity system such as the internet, or a wireless network. While classic MD cod...
Tal A. Beery, Ram Zamir
ESTIMEDIA
2009
Springer
13 years 6 months ago
Efficient execution of Kahn process networks on multi-processor systems using protothreads and windowed FIFOs
As single-processor systems are ceasing to scale effectively, multi-processor systems are becoming more and more popular. While there are many challenges of designing multi-process...
Wolfgang Haid, Lars Schor, Kai Huang, Iuliana Baci...
CDC
2009
IEEE
183views Control Systems» more  CDC 2009»
14 years 7 days ago
Algorithms and stability analysis for content distribution over multiple multicast trees
Abstract— The paper investigates theoretical issues in applying the universal swarming technique to efficient content distribution. In a swarming session, a file is distributed...
Xiaoying Zheng, Chunglae Cho, Ye Xia
ICANN
2009
Springer
14 years 3 months ago
Decomposition Methods for Detailed Analysis of Content in ERP Recordings
The processes giving rise to an event related potential engage several evoked and induced oscillatory components, which reflect phase or non-phase locked activity throughout the mu...
Vasiliki Iordanidou, Kostas Michalopoulos, Vangeli...