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» Robustness and modular structure in networks
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ICANN
2010
Springer
14 years 8 months ago
Dynamic Shape Learning and Forgetting
In this paper, we present a system capable of dynamically learning shapes in a way that also allows for the dynamic deletion of shapes already learned. It uses a self-balancing Bin...
Nikolaos Tsapanos, Anastasios Tefas, Ioannis Pitas
GRC
2008
IEEE
14 years 10 months ago
Effects of Varying the Delay Distribution in Random, Scale-free, and Small-world Networks
Graph-theory-based approaches have been used with great success when analyzing abstract properties of natural and artificial networks. However, these approaches have not factored...
Bum Soon Jang, Timothy Mann, Yoonsuck Choe
INFORMATICALT
2008
120views more  INFORMATICALT 2008»
14 years 9 months ago
Nonlinear Behaviour in the MPI-Parallelised Model of the Rat Somatosensory Cortex
Mammalian brains consisting of up to 1011 neurons belong to group of the most complex systems in the Universe. For years they have been one of the hardest objects of simulation. Th...
Grzegorz M. Wojcik, Wieslaw A. Kaminski
P2P
2003
IEEE
110views Communications» more  P2P 2003»
15 years 3 months ago
Range Addressable Network: A P2P Cache Architecture for Data Ranges
Peer-to-peer computing paradigm is emerging as a scalable and robust model for sharing media objects. In this paper, we propose an architecture and describe the associated algorit...
Anshul Kothari, Divyakant Agrawal, Abhishek Gupta,...
CEC
2003
IEEE
15 years 1 months ago
Dynamics of gene expression in an artificial genome
Abstract- Complex systems techniques provide a powerful tool to study the emergent properties of networks of interacting genes. In this study we extract models of genetic regulator...
Kai Willadsen, Janet Wiles