Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zishen Xu"'
Autor:
Alina C. Stimmell, Zishen Xu, Shawn C. Moseley, Sarah D. Cushing, Diana M. Fernandez, Jessica V. Dang, Luis F. Santos-Molina, Rosina A. Anzalone, Carolina L. Garcia-Barbon, Stephany Rodriguez, Jessica R. Dixon, Wei Wu, Aaron A. Wilber
Publikováno v:
Frontiers in Aging, Vol 2 (2021)
In early Alzheimer's disease (AD) spatial navigation is one of the first impairments to emerge; however, the precise cause of this impairment is unclear. Previously, we showed that, in a mouse model of tau and amyloid beta (Aβ) aggregation, getting
Externí odkaz:
https://doaj.org/article/0e8b61e4c1b746ff80631bae7fcbbeb6
Autor:
Zishen Xu, Wei Wu, Shawn S. Winter, Max L. Mehlman, William N. Butler, Christine M. Simmons, Ryan E. Harvey, Laura E. Berkowitz, Yang Chen, Jeffrey S. Taube, Aaron A. Wilber, Benjamin J. Clark
Publikováno v:
Frontiers in Neural Circuits, Vol 13 (2019)
Head direction (HD) cells, which fire action potentials whenever an animal points its head in a particular direction, are thought to subserve the animal’s sense of spatial orientation. HD cells are found prominently in several thalamo-cortical regi
Externí odkaz:
https://doaj.org/article/aa26fef8db0f4c92b407a64bfe8b6414
Publikováno v:
Computational Statistics & Data Analysis. 175:107545
The notion of statistical depth has been extensively studied in multivariate and functional data over the past few decades. In contrast, the depth on temporal point process is still under-explored. The problem is challenging because a point process h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b18a2d6ba25d07e2861521b8b91e0b4
https://doi.org/10.1016/j.csda.2022.107545
https://doi.org/10.1016/j.csda.2022.107545
Removing nonlinear misalignment in neuronal spike trains using the Fisher-Rao registration framework
Publikováno v:
Journal of neuroscience methods. 367
The temporal precision in neural spike train data is critically important for understanding functional mechanism in the nervous systems. However, the timing variability of spiking activity can be highly nonlinear in practical observations due to beha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfb18b253ec3ac13026ec0247e07238f
https://pubmed.ncbi.nlm.nih.gov/34890697
https://pubmed.ncbi.nlm.nih.gov/34890697
Autor:
Shawn C. Moseley, Zishen Xu, Stephany Rodriguez, Aaron A. Wilber, Rosina A. Anzalone, Sarah D. Benthem, Alina C. Stimmell, Luis F. Santos-Molina, Jessica V. Dang, Diana M. Fernandez, Carolina L. Garcia-Barbon, Jessica R. Dixon, Wei Wu
Publikováno v:
Frontiers in aging
In early Alzheimer's disease (AD) spatial navigation is one of the first impairments to emerge; however, the precise cause of this impairment is unclear. Previously, we showed that, in a mouse model of tau and amyloid beta (Aβ) aggregation, getting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63e67b8c5bbf387b38fd890fc4910bca
http://europepmc.org/articles/PMC8570590
http://europepmc.org/articles/PMC8570590
The Dynamic Time Warping (DTW) has recently been introduced to analyze neural signals such as EEG and fMRI where phase variability plays an important role in the data. In this study, we propose to adopt a more powerful method, referred to as the Fish
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c4fa86996133ec5ae1464c0bdece3cf
https://doi.org/10.1101/2020.04.30.069120
https://doi.org/10.1101/2020.04.30.069120
Publikováno v:
Journal of Neuroscience Methods. 346:108954
Background The dynamic time warping (DTW) has recently been introduced to analyze neural signals such as EEG and fMRI where phase variability plays an important role in the data. New method In this study, we propose to adopt a more powerful method, r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3429ed88c1b7360c9b259ceaba15497d
https://doi.org/10.1016/j.jneumeth.2020.108954
https://doi.org/10.1016/j.jneumeth.2020.108954