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Measurement of infinitesimal phase response curves from noisy real neurons
Physical Review E, 2011We sought to measure infinitesimal phase response curves (iPRCs) from rat hippocampal CA1 pyramidal neurons. It is difficult to measure iPRCs from noisy neurons because of the dilemma that either the linearity or the signal-to-noise ratio of responses to external perturbations must be sacrificed. To overcome this difficulty, we used an iPRC measurement
Keisuke Ota +5 more
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Reconstruction of Noisy Bezier Curves Using Artificial Neural Networks [PDF]
, 2014 The current work examines the reconstruction of Bezier curves with noisy data using artificial neural networks. Feed forward network with back propagation learning is used to fit the noisy data of the Bezier curves. Different parameters like learning rate, number of hidden layer neurons and number of epochs are studied and the results are compared for ...
Navin Rajpal, Kavita Khanna
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Locating corners in noisy curves by delineating imperfect sequences
2011Computer Science ...
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Fitting smooth curves to noisy indicator-dilution and other unimodal data
Computers and Biomedical Research, 1992A linear least squares method for fitting noisy unimodal functions such as indicator-dilution curves with piecewise stretched exponential functions is described. Stretched exponential functions have the form z(t) = alpha t beta e gamma t, where alpha, beta, and gamma are constants.
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Curve and surface reconstruction from noisy samples
2014Reconstructing an unknown curve or surface from sample points is an important task in geometric modeling applications. Sample points obtained from real applications are usually noisy. For example, when data sets are obtained by scanning images in the plane or images in three dimensions.
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Daily diurnal salivary curves: Are they too noisy to be useful?
Psychoneuroendocrinology, 2019Clemens Kirschbaum +4 more
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