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Synchronization of stochastic mean field networks of Hodgkin–Huxley neurons with noisy channels
(Springer Verlag, 2019)
In this work we are interested in a mathematical model of the collective behavior of a fully connected network of finitely many neurons, when their number and when time go to infinity. We assume that every neuron follows ...
A multi-GPU algorithm for large-scale neuronal networks
(WILEY-BLACKWELL, 2011)
Large-scale simulations of parts of the brain using detailed neuronal models to improve our understanding of brain functions are becoming a reality with the usage of supercomputers and large clusters. However, the high ...
Optimization of neural classifiers based on bayesian decision boundaries and idle neurons pruning
(2002-12-01)
In this article we describe a feature extraction algorithm for pattern classification based on Bayesian Decision Boundaries and Pruning techniques. The proposed method is capable of optimizing MLP neural classifiers by ...
A novel approach for solving constrained nonlinear optimization problems using neurofuzzy systems
(2000-01-01)
A neural network model for solving constrained nonlinear optimization problems with bounded variables is presented. More specifically, a modified Hopfield network is developed and its internal parameters are computed using ...
Similar local neuronal dynamics may lead to different collective behavior
(American Physical Society, 2021-12-29)
This report is concerned with the relevance of the microscopic rules that implement individual neuronal activation, in determining the collective dynamics, under variations of the network topology. To fix ideas we study ...
Neurogenic hypertension and the secrets of respiration
(Amer Physiological Soc, 2017-06-01)
Despite recent advances in the knowledge of the neural control of cardiovascular function, the cause of sympathetic overactivity in neurogenic hypertension remains unknown. Studies from our laboratory point out that rats ...
FUZZY GRAPHS IN FUZZY NEURAL NETWORKS
(Universidad Católica del Norte, Departamento de Matemáticas, 2009)
Synchronization of stochastic mean field networks of Hodgkin-Huxley neurons with noisy channels
(2019)
In this work we are interested in a mathematical model of the collective behavior of a fully connected network of finitely many neurons, when their number and when time go to infinity. We assume that every neuron follows ...
MODELLING AND CONTROL OF ERSW PROCESSES BY NEURONAL NETWORK
(KING FAHD UNIV PETROLEUM MINERALS, 2009)
A study on the use of artificial intelligence (AI) techniques for the modelling and subsequent control of an electric resistance spot welding process (ERSW) is presented. The ERSW process is characterized by the coupling ...