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» The Emergent neural modeling system
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IJON
2007
120views more  IJON 2007»
14 years 10 months ago
Comparison of dynamical states of random networks with human EEG
Existing models of EEG have mainly focused on relations to network dynamics characterized by firing rates [L. de Arcangelis, H.J. Herrmann, C. Perrone-Capano, Activity-dependent ...
Ralph Meier, Arvind Kumar, Andreas Schulze-Bonhage...
NPL
2002
110views more  NPL 2002»
14 years 9 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...
FORTE
2007
14 years 11 months ago
Formal Analysis of Publish-Subscribe Systems by Probabilistic Timed Automata
Abstract. The publish-subscribe architectural style has recently emerged as a promising approach to tackle the dynamism of modern distributed applications. The correctness of these...
Fei He, Luciano Baresi, Carlo Ghezzi, Paola Spolet...
BRAIN
2010
Springer
14 years 6 months ago
Domain-Specific Modeling as a Pragmatic Approach to Neuronal Model Descriptions
Biologically realistic modeling has been greatly facilitated by the development of neuro-simulators, and the development of simulatorindependent formats for model exchange is the s...
Ralf Ansorg, Lars Schwabe
ACIIDS
2009
IEEE
159views Database» more  ACIIDS 2009»
14 years 8 months ago
Application to GA-Based Fuzzy Control for Nonlinear Systems with Uncertainty
In this study, we strive to combine the advantages of fuzzy theory, genetic algorithms (GA), H tracking control schemes, smooth control and adaptive laws to design an adaptive fuzz...
Po-Chen Chen, Ken Yeh, Cheng-Wu Chen, Chen-Yuan Ch...