Zobrazeno 1 - 8
of 8
pro vyhledávání: '"James P. Bohnslav"'
Autor:
James P Bohnslav, Nivanthika K Wimalasena, Kelsey J Clausing, Yu Y Dai, David A Yarmolinsky, Tomás Cruz, Adam D Kashlan, M Eugenia Chiappe, Lauren L Orefice, Clifford J Woolf, Christopher D Harvey
Publikováno v:
eLife, Vol 10 (2021)
Videos of animal behavior are used to quantify researcher-defined behaviors of interest to study neural function, gene mutations, and pharmacological therapies. Behaviors of interest are often scored manually, which is time-consuming, limited to few
Externí odkaz:
https://doaj.org/article/0490bc2a85ba4831a27480dbae549b72
Autor:
James P. Bohnslav, Mohammed Abdal Monium Osman, Akshay Jaggi, Sofia Soares, Caleb Weinreb, Sandeep Robert Datta, Christopher D. Harvey
Publikováno v:
bioRxiv
Characterizing animal behavior requires methods to distill 3D movements from video data. Though keypoint tracking has emerged as a widely used solution to this problem, it only provides a limited view of pose, reducing the body of an animal to a spar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::932b7c6efeb12d25af0f6a5bbedba610
https://doi.org/10.1101/2023.02.17.526719
https://doi.org/10.1101/2023.02.17.526719
Autor:
Zihe Zhang, David P. Roberson, Masakazu Kotoda, Bruno Boivin, James P. Bohnslav, Rafael González-Cano, David A. Yarmolinsky, Bruna Lenfers Turnes, Nivanthika K. Wimalasena, Shay Q. Neufeld, Lee B. Barrett, Nara L. M. Quintão, Victor Fattori, Daniel G. Taub, Alexander B. Wiltschko, Nick A. Andrews, Christopher D. Harvey, Sandeep Robert Datta, Clifford J. Woolf
The lack of sensitive and robust behavioral assessments of pain in preclinical models has been a major limitation for both pain research and the development of novel analgesics. Here, we demonstrate a novel data acquisition and analysis platform that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::588f871a1fe1763ad305dec0c5e18f1d
https://hdl.handle.net/10481/78398
https://hdl.handle.net/10481/78398
Autor:
Kelsey J Clausing, Nivanthika K Wimalasena, Lauren L. Orefice, Yu Y Dai, Adam D Kashlan, Christopher D. Harvey, Clifford J. Woolf, M. Eugenia Chiappe, Tomás Cruz, James P Bohnslav, David A Yarmolinsky
Publikováno v:
eLife, Vol 10 (2021)
eLife
eLife
Videos of animal behavior are used to quantify researcher-defined behaviors of interest to study neural function, gene mutations, and pharmacological therapies. Behaviors of interest are often scored manually, which is time-consuming, limited to few
Autor:
Christopher D. Harvey, Clifford J. Woolf, David A Yarmolinsky, Lauren L. Orefice, M. Eugenia Chiappe, Nivanthika K Wimalasena, Kelsey J Clausing, Tomás Cruz, James P Bohnslav, Yu Y Dai, Adam D Kashlan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00a9150081598d34e2a2c221246f5e81
https://doi.org/10.7554/elife.63377.sa2
https://doi.org/10.7554/elife.63377.sa2
Autor:
Christopher D. Harvey, Clifford J. Woolf, Masakazu Kotoda, Sandeep Robert Datta, Rafael Gonzalez-Cano, Bruno Boivin, David Roberson, Lee Barrett, Victor Fattori, Alexander B. Wiltschko, Zihe Zhang, David A Yarmolinsky, James P Bohnslav, Daniel Taub, Shay Q. Neufeld, Nivanthika K Wimalasena, Nara L. M. Quintão
Publikováno v:
SSRN Electronic Journal.
SUMMARYThe lack of robust quantifiable behavioral assessments of pain in pre-clinical models, especially of ongoing pain, has been a major limitation for both pain neurobiology research and development of novel analgesics. Current methods typically r
Autor:
Christopher D. Harvey, Clifford J. Woolf, James P Bohnslav, Tomás Cruz, Kelsey J Clausing, Lauren L. Orefice, eugenia chiappe, David A Yarmolinsky, Nivanthika K Wimalasena
Researchers commonly acquire videos of animal behavior and quantify the prevalence of behaviors of interest to study nervous system function, the effects of gene mutations, and the efficacy of pharmacological therapies. This analysis is typically per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a59c910378ca828995ccb550a47635ff
https://doi.org/10.1101/2020.09.24.312504
https://doi.org/10.1101/2020.09.24.312504
Publikováno v:
Nature Neuroscience. 20:72-81
The integration of sensorimotor signals to internally estimate self-movement is critical for spatial perception and motor control. However, which neural circuits accurately track body motion and how these circuits control movement remain unknown. We