Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Frostig Ron D"'
Rodents have long been established as the premier model for behavioral studies, traditionally raised and maintained in conventional cage environments. However, these settings often limit rodents' ability to exhibit their full range of intrinsic behav
Externí odkaz:
http://arxiv.org/abs/2409.01618
Local field potentials (LFPs) are signals that measure electrical activity in localized cortical regions from implanted tetrodes in the human or animal brain. The LFP signals are curves observed at multiple tetrodes which are implanted across a patch
Externí odkaz:
http://arxiv.org/abs/2106.01104
Many experiments record sequential trajectories where each trajectory consists of oscillations and fluctuations around zero. Such trajectories can be viewed as zero-mean functional data. When there are structural breaks (on the sequence of trajectori
Externí odkaz:
http://arxiv.org/abs/2006.13887
A new classification method for functional data is proposed in this paper. This work is motivated by the need to identify features that discriminate between neurological conditions on which local field potentials (LFPs) were recorded. Regardless of t
Externí odkaz:
http://arxiv.org/abs/2004.00855
A common class of methods for analyzing of multivariate time series, stationary and nonstationary, decomposes the observed series into latent sources. Methods such as principal compoment analysis (PCA), independent component analysis (ICA) and Statio
Externí odkaz:
http://arxiv.org/abs/1911.12295
Autor:
Chu, Sung Sik, Nguyen, Hung Anh, Lin, Derrick, Bhatti, Mehwish, Jones-Tinsley, Carolyn E., Do, An Hong, Frostig, Ron D., Nenadic, Zoran, Xu, Xiangmin, Lim, Miranda M., Cao, Hung
Publikováno v:
In Biosensors and Bioelectronics 15 February 2023 222
The goal of this paper is to develop a measure for characterizing complex dependence between stationary time series that cannot be captured by traditional measures such as correlation and coherence. Our approach is to use copula models of functionals
Externí odkaz:
http://arxiv.org/abs/1809.09448
This paper intends to develop tools for characterizing non-linear spectral dependence between spontaneous brain signals. We use parametric copula models (both bivariate and vine models) applied on the magnitude of Fourier coefficients rather than usi
Externí odkaz:
http://arxiv.org/abs/1809.08785
Autor:
Jiao, Shuhao1 (AUTHOR) shuhao.jiao@kaust.edu.sa, Frostig, Ron D.2 (AUTHOR), Ombao, Hernando1 (AUTHOR)
Publikováno v:
Canadian Journal of Statistics. Dec2023, Vol. 51 Issue 4, p943-958. 16p.