Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Ian Kinsella"'
Autor:
Michael E. Xie, Yoav Adam, Linlin Z. Fan, Urs L. Böhm, Ian Kinsella, Ding Zhou, Marton Rozsa, Amrita Singh, Karel Svoboda, Liam Paninski, Adam E. Cohen
Publikováno v:
Cell Reports, Vol 35, Iss 1, Pp 108954- (2021)
Summary: The ability to probe the membrane potential of multiple genetically defined neurons simultaneously would have a profound impact on neuroscience research. Genetically encoded voltage indicators are a promising tool for this purpose, and recen
Externí odkaz:
https://doaj.org/article/988ec148d2284498bbc73d61eb2c37e8
Autor:
Shreya Saxena, Ian Kinsella, Simon Musall, Sharon H Kim, Jozsef Meszaros, David N Thibodeaux, Carla Kim, John Cunningham, Elizabeth M C Hillman, Anne Churchland, Liam Paninski
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 4, p e1007791 (2020)
Widefield calcium imaging enables recording of large-scale neural activity across the mouse dorsal cortex. In order to examine the relationship of these neural signals to the resulting behavior, it is critical to demix the recordings into meaningful
Externí odkaz:
https://doaj.org/article/24b2e8cf88044459b79b2b924db6c74e
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
Autor:
Karel Svoboda, Liam Paninski, Linlin Z. Fan, Márton Rózsa, Adam E. Cohen, Ian Kinsella, Yoav Adam, Ding Zhou, Michael E. Xie, Urs Lucas Böhm, Amrita Singh
Publikováno v:
Cell Rep
Cell Reports, Vol 35, Iss 1, Pp 108954-(2021)
Cell Reports, Vol 35, Iss 1, Pp 108954-(2021)
Summary The ability to probe the membrane potential of multiple genetically defined neurons simultaneously would have a profound impact on neuroscience research. Genetically encoded voltage indicators are a promising tool for this purpose, and recent
Autor:
Ian Kinsella, John P. Cunningham, Liam Paninski, Simon Musall, Shreya Saxena, Anne K. Churchland, Anup Khanal, João Couto, Steven Gluf, Xiaonan R. Sun, Taiga Abe
Publikováno v:
Nature protocols, vol 16, iss 7
Nature protocols 16, 3241–3263 (2021). doi:10.1038/s41596-021-00527-z
Nat Protoc
Nature protocols 16, 3241–3263 (2021). doi:10.1038/s41596-021-00527-z
Nat Protoc
Measurements of neuronal activity across brain areas are important for understanding the neural correlates of cognitive and motor processes like attention, decision-making, and action selection. However, techniques that allow cellular resolution meas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::004f7bb145d2fb49c3e88894894c2bb8
http://arxiv.org/abs/2010.15191
http://arxiv.org/abs/2010.15191
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:
Dimitri Yatsenko, Liam Paninski, Pengcheng Zhou, R. Clay Reid, Kisuk Lee, Gayathri Mahalingam, Dodam Ih, Daniel J. Bumbarger, Thomas Macrina, Paul G. Fahey, Ding Zhou, Nuno Maçarico da Costa, Sven Dorkenwald, Emmanouil Froudarakis, Jingpeng Wu, JoAnn Buchanan, Ian Kinsella, Amol Pasarkar, Jacob Reimer, Agnes L. Bodor, Andreas S. Tolias, Russel Torres, Ran Lu
Combining two-photon calcium imaging (2PCI) and electron microscopy (EM) provides arguably the most powerful current approach for connecting function to structure in neural circuits. Recent years have seen dramatic advances in obtaining and processin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f37febf12e8814052261c8c545b07d5a
Autor:
Yoav Adam, Ian Kinsella, Adam E. Cohen, Ding Zhou, Liam Paninski, Linlin Z. Fan, Michael E. Xie, Urs Lucas Böhm
The ability to probe the membrane potential of multiple genetically defined neurons simultaneously would have a profound impact on neuroscience research. Genetically encoded voltage indicators are a promising tool for this purpose, and recent develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40e322f3fb404d25a7d98b3a1f7845d3
Autor:
John P. Cunningham, Anne K. Churchland, Jozsef Meszaros, David N. Thibodeaux, Carla Kim, Shreya Saxena, Elizabeth M. C. Hillman, Ian Kinsella, Liam Paninski, Sharon H. Kim, Simon Musall
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 4, p e1007791 (2020)
PLoS Computational Biology
PLoS Computational Biology
Widefield calcium imaging enables recording of large-scale neural activity across the mouse dorsal cortex. In order to examine the relationship of these neural signals to the resulting behavior, it is critical to demix the recordings into meaningful
Autor:
Felipe Gerhard, Jacob Reimer, Liam Paninski, Sang Ryong Kim, E. K. Buchanan, Ding Zhou, Andreas S. Tolias, Pengcheng Zhou, Rong Zhu, Mohammed A. Shaik, Na Ji, John Ferrante, Taliah Muhammad, Ian Kinsella, Elizabeth M. C. Hillman, Paul G. Fahey, Yajie Liang, Ying Ma, Rongwen Lu, Graham T. Dempsey
Calcium imaging has revolutionized systems neuroscience, providing the ability to image large neural populations with single-cell resolution. The resulting datasets are quite large, which has presented a barrier to routine open sharing of this data,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::995a856ec493ef461d94003f6da6f5d6
https://doi.org/10.1101/334706
https://doi.org/10.1101/334706