Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ruogu Lin"'
Publikováno v:
NeuroImage, Vol 298, Iss , Pp 120772- (2024)
Relating brain activity associated with a complex stimulus to different properties of that stimulus is a powerful approach for constructing functional brain maps. However, when stimuli are naturalistic, their properties are often correlated (e.g., vi
Externí odkaz:
https://doaj.org/article/6cdde8fc645a449b9cee21f3c5a128af
Autor:
Nidhi Jain, Aria Wang, Margaret M. Henderson, Ruogu Lin, Jacob S. Prince, Michael J. Tarr, Leila Wehbe
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-14 (2023)
Neural responsiveness to food images was measured in healthy participants using fMRI, establishing food-selective regions using both data- and hypothesis-driven methods. Further analyses illuminate the organization of food within the visual system.
Externí odkaz:
https://doaj.org/article/0d5c35ec2267429b913f4de64f822d9f
Autor:
Ran Li, Xiangrui Zeng, Stephanie E. Sigmund, Ruogu Lin, Bo Zhou, Chang Liu, Kaiwen Wang, Rui Jiang, Zachary Freyberg, Hairong Lv, Min Xu
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S3, Pp 75-85 (2019)
Abstract Background Cryo-electron tomography (cryo-ET) enables the 3D visualization of cellular organization in near-native state which plays important roles in the field of structural cell biology. However, due to the low signal-to-noise ratio (SNR)
Externí odkaz:
https://doaj.org/article/d55a1725f3214fb2b3af46c4ba047d6f
Relating brain activity associated with a complex stimulus to different properties of that stimulus is a powerful approach for constructing functional brain maps. However, when stimuli are naturalistic, their properties are often correlated (e.g., vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ec6bd8f370e2be6adab1cfdb14090bc
https://doi.org/10.1101/2023.04.23.537988
https://doi.org/10.1101/2023.04.23.537988
Autor:
Nidhi Jain, Aria Wang, Margaret M. Henderson, Ruogu Lin, Jacob S. Prince, Michael J. Tarr, Leila Wehbe
Visual cortex contains regions of selectivity for domains of ecological importance. Food is an evolutionarily critical category whose visual heterogeneity may make the identification of selectivity more challenging. We investigate neural responsivene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8074122508358bca0a8b1b460f90cf1
https://doi.org/10.1101/2022.05.22.492983
https://doi.org/10.1101/2022.05.22.492983
Publikováno v:
Bioinformatics
Motivation Since 2017, an increasing amount of attention has been paid to the supervised deep learning-based macromolecule in situ structural classification (i.e. subtomogram classification) in cellular electron cryo-tomography (CECT) due to the subs
Autor:
Ruogu Lin, Zachary Freyberg, Stephanie E. Sigmund, Hairong Lv, Rui Jiang, Kaiwen Wang, Bo Zhou, Chang Liu, Xiangrui Zeng, Ran Li, Min Xu
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 20, Iss S3, Pp 75-85 (2019)
BMC Bioinformatics, Vol 20, Iss S3, Pp 75-85 (2019)
Background Cryo-electron tomography (cryo-ET) enables the 3D visualization of cellular organization in near-native state which plays important roles in the field of structural cell biology. However, due to the low signal-to-noise ratio (SNR), large v
Publikováno v:
ICIP
Cellular Electron Cryo-Tomography (CECT) is a powerful imaging technique for the 3D visualization of cellular structure and organization at submolecular resolution. It enables analyzing the native structures of macromolecular complexes and their spat
Cellular processes are governed by macromolecular complexes inside the cell. Study of the native structures of macromolecular complexes has been extremely difficult due to lack of data. With recent breakthroughs in Cellular electron cryo tomography (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f33996ca3021765242d4bd7f2211a8f
http://arxiv.org/abs/1707.04885
http://arxiv.org/abs/1707.04885