Luiz Otávio Murta Júnior

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Radial Basis Function Networks (RBFNs) have been successfully employed in several function approximation and pattern recognition problems. In RBFNs, radial basis functions are used to compute the activation of artificial neurons. The use of different radial basis functions in RBFN has been reported in the literature. Here, the use of the q-Gaussian function(More)
The mixed use of different shapes of radial basis functions (RBFs) in RBF networks is investigated in this paper. For this purpose, we propose the use of the q-Gaussian function, which reproduces different RBFs by changing a real parameter q, in RBF networks. In the proposed methodology, the centers of the radial units are determined by the k-means(More)
H. T. Amaral-Silva Biomedical Image Computing Group, Departments of Pediatrics and Bioengineering, University of Washington, Seattle, USA. Also with Center of Imaging Sciences and Medical Physics, Internal Medicine Department and Graduate Program, Ribeirão Preto Medical School, University of So Paulo, Ribeirão Preto, Brazil E-mail: amaralht@uw.edu Present(More)
The "stationarity time" (ST) of neuronal spontaneous activity signals of rat embryonic cortical cells, measured by means of a planar Multielectrode Array (MEA), was estimated based on the "Detrended Fluctuation Analysis" (DFA). The ST is defined as the mean time interval during which the signal under analysis keeps its statistical characteristics constant.(More)
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