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» Static and dynamic models of biological networks
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NIPS
2000
13 years 9 months ago
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
Thomas Natschläger, Wolfgang Maass, Eduardo D...
INFOCOM
2003
IEEE
14 years 1 months ago
Static and Dynamic Analysis of the Internet's Susceptibility to Faults and Attacks
— We analyze the susceptibility of the Internet to random faults, malicious attacks, and mixtures of faults and attacks. We analyze actual Internet data, as well as simulated dat...
Seung-Taek Park, Alexy Khrabrov, David M. Pennock,...
AINA
2008
IEEE
14 years 2 months ago
Missing Value Estimation for Time Series Microarray Data Using Linear Dynamical Systems Modeling
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
Connie Phong, Raul Singh
JSS
2006
155views more  JSS 2006»
13 years 7 months ago
Semantic component networking: Toward the synergy of static reuse and dynamic clustering of resources in the knowledge grid
Model is a kind of codified knowledge that has been verified in solving problems. Solving a complex problem usually needs a set of models. Using components, the composition of a s...
Hai Zhuge
NPL
2002
110views more  NPL 2002»
13 years 7 months ago
Biologically Plausible Associative Memory: Continuous Unit Response + Stochastic Dynamics
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...