Zobrazeno 1 - 10
of 12
pro vyhledávání: '"E. Kelly Buchanan"'
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders.
Autor:
Matthew R Whiteway, Dan Biderman, Yoni Friedman, Mario Dipoppa, E Kelly Buchanan, Anqi Wu, John Zhou, Niccolò Bonacchi, Nathaniel J Miska, Jean-Paul Noel, Erica Rodriguez, Michael Schartner, Karolina Socha, Anne E Urai, C Daniel Salzman, International Brain Laboratory, John P Cunningham, Liam Paninski
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1009439 (2021)
Recent neuroscience studies demonstrate that a deeper understanding of brain function requires a deeper understanding of behavior. Detailed behavioral measurements are now often collected using video cameras, resulting in an increased need for comput
Externí odkaz:
https://doaj.org/article/8c044a2fffaa489890ca5e3b6a6b6664
Autor:
Dan Biderman, E. Kelly Buchanan, Matthew R Whiteway, John Zhou, John P. Cunningham, Mario Dipoppa, Anqi Wu, Yoni Friedman, Jean-Paul Noel, Liam Paninski
Recent neuroscience studies in awake and behaving animals demonstrate that a deeper understanding of brain function requires a deeper understanding of behavior. Detailed behavioral measurements are now often collected using video cameras, resulting i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::638ab5e66a73d9b412899edd52eb34e3
https://doi.org/10.1101/2021.02.22.432309
https://doi.org/10.1101/2021.02.22.432309
Autor:
Ryan Glassman, Taiga Abe, João Couto, John P. Cunningham, John Zhou, John A. G. Briggs, E. Kelly Buchanan, Liam Paninski, Sian Lee Kitt, Ian Kinsella, Shreya Saxena
Publikováno v:
SSRN Electronic Journal.
A major goal of neuroscience is the development of powerful data analyses that process large datasets. Unfortunately, modern data analyses have a hidden dependence upon complex computing infrastructure (e.g. software dependencies, hardware), that act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b606cda2c3a6d2c2e4f48d6a88655d0
https://doi.org/10.2139/ssrn.3877562
https://doi.org/10.2139/ssrn.3877562
Autor:
John P. Cunningham, C. Daniel Salzman, E. Kelly Buchanan, Yoni Friedman, Anqi Wu, Jean-Paul Noel, Karolina Socha, Matthew R Whiteway, Nathaniel J Miska, Liam Paninski, Anne E Urai, Niccolò Bonacchi, Mario Dipoppa, John Zhou, Michael Schartner, Erica Rodriguez, Dan Biderman
Publikováno v:
PLoS Computational Biology, 17(9)
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 9, p e1009439 (2021)
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 9, p e1009439 (2021)
Recent neuroscience studies demonstrate that a deeper understanding of brain function requires a deeper understanding of behavior. Detailed behavioral measurements are now often collected using video cameras, resulting in an increased need for comput
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7239f02ea9d53f413b9d56f662e18bd
http://hdl.handle.net/1887/3245357
http://hdl.handle.net/1887/3245357
Autor:
Ian Kinsella, John P. Cunningham, Liam Paninski, John Zhou, E. Kelly Buchanan, John A. G. Briggs, Taiga Abe, Sian Lee Kitt, Joao Couto, Ryan Glassman, Shreya Saxena
A major goal of computational neuroscience is the development of powerful data analyses that operate on large datasets. These analyses form an essential toolset to derive scientific insights from new experiments. Unfortunately, a major obstacle curre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49d94d5b87e4197ff12cb8e34552a878
https://doi.org/10.1101/2020.06.11.146746
https://doi.org/10.1101/2020.06.11.146746
Autor:
Robert E. Campbell, Simon Kheifets, Daan Brinks, Christopher D. Harvey, Liam Paninski, Ding Zhou, Katherine J. Williams, Yongxin Zhao, E. Kelly Buchanan, Benjamin Gmeiner, Ian Kinsella, Yoav Adam, Hao Wu, Michael E. Xie, Hongkui Zeng, Adam E. Cohen, Vicente Parot, Mohammed A. Mostajo-Radji, Paola Arlotta, Linda Madisen, Samouil L. Farhi, Jeong J. Kim, Selmaan N. Chettih, Shan Lou
Publikováno v:
Nature
A technology that simultaneously records membrane potential from multiple neurons in behaving animals will have a transformative effect on neuroscience research1,2. Genetically encoded voltage indicators are a promising tool for these purposes; howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2777d6d93514f17f8635a7deed2f1911
https://pubmed.ncbi.nlm.nih.gov/31043747
https://pubmed.ncbi.nlm.nih.gov/31043747
Conference
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Conference
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Autor:
Adam, Yoav, Kim, Jeong J., Lou, Shan, Zhao, Yongxin, Xie, Michael E., Brinks, Daan, Wu, Hao, Mostajo-Radji, Mohammed A., Kheifets, Simon, Parot, Vicente, Chettih, Selmaan, Williams, Katherine J., Gmeiner, Benjamin, Farhi, Samouil L., Madisen, Linda, Buchanan, E. Kelly, Kinsella, Ian, Zhou, Ding, Paninski, Liam, Harvey, Christopher D.
Publikováno v:
Nature; 5/16/2019, Vol. 569 Issue 7756, p413-417, 5p, 7 Color Photographs, 7 Graphs