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Independent component analysis in spiking neurons. [PDF]
PLoS Computational Biology, 2010 Although models based on independent component analysis (ICA) have been successful in explaining various properties of sensory coding in the cortex, it remains unclear how networks of spiking neurons using realistic plasticity rules can realize such ...
Cristina Savin +2 more
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Randomized independent component analysis [PDF]
2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE), 2016 Independent component analysis (ICA) is a method for recovering statistically independent signals from observations of unknown linear combinations of the sources. Some of the most accurate ICA decomposition methods require searching for the inverse transformation which minimizes different approximations of the Mutual Information, a measure of ...
Sela, Matan, Kimmel, Ron
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Applied Sciences, 2021 Dimensional reduction methods have significantly improved the simplification of Pulsed Thermography (PT) data while improving the accuracy of the results. Such approaches reduce the quantity of data to analyze and improve the contrast of the main defects
Julien R. Fleuret +3 more
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Non-Contact Heart Sound Measurement Using Independent Component Analysis
IEEE Access, 2022 A non-contact heart sound measurement method using independent component analysis (ICA) was successfully developed, and the measured heart sound was quantitatively evaluated with the signal-to-noise ratio (SNR). There have been recent developments in the
Shun Muramatsu +3 more
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Adaptive Speech Separation Based on Beamforming and Frequency Domain-Independent Component Analysis
Applied Sciences, 2020 Voice signals acquired by a microphone array often include considerable noise and mutual interference, seriously degrading the accuracy and speed of speech separation.
Ke Zhang, Yangjie Wei, Dan Wu, Yi Wang
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Scatter Matrices and Independent Component Analysis
Austrian Journal of Statistics, 2016 In the independent component analysis (ICA) it is assumed that the components of the multivariate independent and identically distributed observations are linear transformations of latent independent components.
Hannu Oja, Seija Sirkiä, Jan Eriksson
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Quantifying identifiability in independent component analysis [PDF]
, 2014 We are interested in consistent estimation of the mixing matrix in the ICA model, when the error distribution is close to (but different from) Gaussian.
Falkeborg, Benjamin +2 more
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Egyptian Journal of Remote Sensing and Space Sciences, 2021 The main objective of this research is to evaluate change detection techniques to monitoring land-cover changes that occurred between 2016 and 2017 in the study area located in new administrative capital region in Cairo Governorate, Egypt. The Study area
Ahmed Saber +3 more
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Independent Component Analysis of Spatiotemporal Chaos [PDF]
, 2005 Two types of spatiotemporal chaos exhibited by ensembles of coupled nonlinear oscillators are analyzed using independent component analysis (ICA). For diffusively coupled complex Ginzburg-Landau oscillators that exhibit smooth amplitude patterns, ICA ...
Amari S. +27 more
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Theta but not beta power is positively associated with better explicit motor task learning
NeuroImage, 2021 Neurophysiologic correlates of motor learning that can be monitored during neurorehabilitation interventions can facilitate the development of more effective learning methods.
Joris van der Cruijsen +7 more
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