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» The Emergent neural modeling system
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IJON
2007
120views more  IJON 2007»
15 years 6 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»
15 years 6 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
15 years 7 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
15 years 3 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»
15 years 4 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...