Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Shanka Subhra Mondal"'
Publikováno v:
eLife, Vol 12 (2024)
Deep neural networks have made tremendous gains in emulating human-like intelligence, and have been used increasingly as ways of understanding how the brain may solve the complex computational problems on which this relies. However, these still fall
Externí odkaz:
https://doaj.org/article/e8dbe69d764844799de01cef37df9caf
Autor:
Brendan Celii, Stelios Papadopoulos, Zhuokun Ding, Paul G. Fahey, Eric Wang, Christos Papadopoulos, Alexander B. Kunin, Saumil Patel, J. Alexander Bae, Agnes L. Bodor, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Manuel A. Castro, Erick Cobos, Sven Dorkenwald, Leila Elabbady, Akhilesh Halageri, Zhen Jia, Chris Jordan, Dan Kapner, Nico Kemnitz, Sam Kinn, Kisuk Lee, Kai Li, Ran Lu, Thomas Macrina, Gayathri Mahalingam, Eric Mitchell, Shanka Subhra Mondal, Shang Mu, Barak Nehoran, Sergiy Popovych, Casey M. Schneider-Mizell, William Silversmith, Marc Takeno, Russel Torres, Nicholas L. Turner, William Wong, Jingpeng Wu, Szi-chieh Yu, Wenjing Yin, Daniel Xenes, Lindsey M. Kitchell, Patricia K. Rivlin, Victoria A. Rose, Caitlyn A. Bishop, Brock Wester, Emmanouil Froudarakis, Edgar Y. Walker, Fabian Sinz, H. Sebastian Seung, Forrest Collman, Nuno Maçarico da Costa, R. Clay Reid, Xaq Pitkow, Andreas S. Tolias, Jacob Reimer
We are now in the era of millimeter-scale electron microscopy (EM) volumes collected at nanometer resolution (Shapson-Coe et al., 2021; Consortium et al., 2021). Dense reconstruction of cellular compartments in these EM volumes has been enabled by re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d21e2f4dd35616cabd72c4d26678fa28
https://doi.org/10.1101/2023.03.14.532674
https://doi.org/10.1101/2023.03.14.532674
Autor:
Zhuokun Ding, Paul G. Fahey, Stelios Papadopoulos, Eric Y. Wang, Brendan Celii, Christos Papadopoulos, Alexander B. Kunin, Andersen Chang, Jiakun Fu, Zhiwei Ding, Saumil Patel, Kayla Ponder, Taliah Muhammad, J. Alexander Bae, Agnes L. Bodor, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Manuel A. Castro, Erick Cobos, Sven Dorkenwald, Leila Elabbady, Akhilesh Halageri, Zhen Jia, Chris Jordan, Dan Kapner, Nico Kemnitz, Sam Kinn, Kisuk Lee, Kai Li, Ran Lu, Thomas Macrina, Gayathri Mahalingam, Eric Mitchell, Shanka Subhra Mondal, Shang Mu, Barak Nehoran, Sergiy Popovych, Casey M. Schneider-Mizell, William Silversmith, Marc Takeno, Russel Torres, Nicholas L. Turner, William Wong, Jingpeng Wu, Wenjing Yin, Szi-chieh Yu, Emmanouil Froudarakis, Fabian Sinz, H. Sebastian Seung, Forrest Collman, Nuno Maçarico da Costa, R. Clay Reid, Edgar Y. Walker, Xaq Pitkow, Jacob Reimer, Andreas S. Tolias
Publikováno v:
bioRxiv
To understand how the neocortex underlies our ability to perceive, think, and act, it is important to study the relationship between circuit connectivity and function. Previous research has shown that excitatory neurons in layer 2/3 of the primary vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16f49ecf14e08fe0585dc044ffb41c11
https://europepmc.org/articles/PMC10054929/
https://europepmc.org/articles/PMC10054929/
Autor:
Marissa A. Weis, Stelios Papadopoulos, Laura Hansel, Timo Lüddecke, Brendan Celii, Paul G. Fahey, J. Alexander Bae, Agnes L. Bodor, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Manuel A. Castro, Forrest Collman, Nuno Maçarico da Costa, Sven Dorkenwald, Leila Elabbady, Akhilesh Halageri, Zhen Jia, Chris Jordan, Dan Kapner, Nico Kemnitz, Sam Kinn, Kisuk Lee, Kai Li, Ran Lu, Thomas Macrina, Gayathri Mahalingam, Eric Mitchell, Shanka Subhra Mondal, Shang Mu, Barak Nehoran, Sergiy Popovych, R. Clay Reid, Casey M. Schneider-Mizell, H. Sebastian Seung, William Silversmith, Marc Takeno, Russel Torres, Nicholas L. Turner, William Wong, Jingpeng Wu, Wenjing Yin, Szi-chieh Yu, Jacob Reimer, Andreas S. Tolias, Alexander S. Ecker
Neurons in the neocortex exhibit astonishing morphological diversity which is critical for properly wiring neural circuits and giving neurons their functional properties. The extent to which the morphological diversity of excitatory neurons forms a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86365cd9ecb9a14800b6686d516cd357
https://doi.org/10.1101/2022.12.22.521541
https://doi.org/10.1101/2022.12.22.521541
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:9000-9008
Resource usage of production workloads running on shared compute clusters often fluctuate significantly across time. While simultaneous spike in the resource usage between two workloads running on the same machine can create performance degradation,
Autor:
Leila Elabbady, Sharmishtaa Seshamani, Shang Mu, Gayathri Mahalingam, Casey Schneider-Mizell, Agnes Bodor, J. Alexander Bae, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Manuel A. Castro, Erick Cobos, Sven Dorkenwald, Paul G. Fahey, Emmanouil Froudarakis, Akhilesh Halageri, Zhen Jia, Chris Jordan, Dan Kapner, Nico Kemnitz, Sam Kinn, Kisuk Lee, Kai Li, Ran Lu, Thomas Macrina, Eric Mitchell, Shanka Subhra Mondal, Barak Nehoran, Stelios Papadopoulos, Saumil Patel, Xaq Pitkow, Sergiy Popovych, Jacob Reimer, William Silversmith, Fabian H. Sinz, Marc Takeno, Russel Torres, Nicholas Turner, William Wong, Jingpeng Wu, Wenjing Yin, Szi-chieh Yu, Andreas Tolias, H. Sebastian Seung, R. Clay Reid, Nuno Maçarico Da Costa, Forrest Collman
Mammalian neocortex contains a highly diverse set of cell types. These types have been mapped systematically using a variety of molecular, electrophysiological and morphological approaches. Each modality offers new perspectives on the variation of bi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59410755b663c3d5a79e634c715704df
https://doi.org/10.1101/2022.07.20.499976
https://doi.org/10.1101/2022.07.20.499976
Autor:
Sven Dorkenwald, Russel Torres, Nicholas L. Turner, Eric Mitchell, Manuel Castro, Saumil S. Patel, Nico Kemnitz, William Silversmith, Paul G. Fahey, Thomas Macrina, H. Sebastian Seung, Ran Lu, Fabian H. Sinz, Wenjing Yin, J. Alexander Bae, Szi-chieh Yu, Xaq Pitkow, Kisuk Lee, Leila Elabbady, Agnes L. Bodor, Shang Mu, Emmanouil Froudarakis, Forrest Collman, Sam Kinn, Sergiy Popovych, Jacob Reimer, JoAnn Buchanan, Daniel J. Bumbarger, Erick Cobos, Barak Nehoran, Gayathri Mahalingam, Akhilesh Halageri, Stelios Papadopoulos, Daniel Kapner, Marc Takeno, Casey M Schneider-Mizell, Kai Li, Nuno Maçarico da Costa, R. Clay Reid, Jingpeng Wu, Shanka Subhra Mondal, Zhen Jia, Chris S. Jordan, William Wong, Derrick Brittain, Andreas S. Tolias
3D electron microscopy (EM) has been successful at mapping invertebrate nervous systems, but the approach has been limited to small chunks of mammalian brains. To scale up to larger volumes, we have built a computational pipeline for processing petas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7beae61e0f930f254a4592f2ac9f5c9f
https://doi.org/10.1101/2021.08.04.455162
https://doi.org/10.1101/2021.08.04.455162
Autor:
Russel Torres, Kai Kuehner, Wenjing Yin, Saumil S. Patel, Chris Xu, Emmanouil Froudarakis, Grace Williams, Amy L. R. Sterling, Nicholas L. Turner, Daniel J. Bumbarger, Anthony Ramos, Andreas S. Tolias, Zheng H Tan, Fei Ye, J. Alexander Bae, Brendan Celii, Szi-chieh Yu, Runzhe Yang, Jingpeng Wu, Oluwaseun Ogedengbe, Merlin Moore, Gayathri Mahalingam, Kyle Willie, Xaq Pitkow, Sarah Williams, Christos Papadopoulos, Sven Dorkenwald, Daniel Kapner, Sam Kinn, Ran Lu, Dimitri Yatsenko, Leila Elabbady, Fabian H. Sinz, Selden Koolman, Agnes L. Bodor, Ben Silverman, Nico Kemnitz, Chris S. Jordan, Sergiy Popovych, Elanine Miranda, Cameron Smith, Akhilesh Halageri, Paul G. Fahey, Tianyu Wang, William Silversmith, Sarah McReynolds, Ryan Willie, Eric Mitchell, Jacob Reimer, JoAnn Buchanan, Edgar Y. Walker, Barak Nehoran, Thomas Macrina, Zhen Jia, H. Sebastian Seung, William Wong, Stelios Papadopoulos, James Hebditch, Derrick Brittain, Casey M Schneider-Mizell, Nuno Maçarico da Costa, Manuel Castro, Forrest Collman, R. Clay Reid, Shanka Subhra Mondal, Marc Takeno, Kai Li, Tim P. Fliss, Jay Gager, Taliah Muhammad, Shang Mu, Clare Gamlin, Shelby Suckow, Erick Cobos, Mahaly Baptiste, Kisuk Lee
To understand the brain we must relate neurons’ functional responses to the circuit architecture that shapes them. Here, we present a large functional connectomics dataset with dense calcium imaging of a millimeter scale volume. We recorded activit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78e52d00cad2815c9dd88338701089fe
https://doi.org/10.1101/2021.07.28.454025
https://doi.org/10.1101/2021.07.28.454025
Autor:
Abhilash Nandy, Shanka Subhra Mondal
Publikováno v:
FG
Recognizing Families In the Wild (RFIW) is a large-scale kinship recognition challenge based on the FIW dataset. This dataset is the largest databases for kinship recognition, consisting of more than 13,000 family photos and 1,000 families. The numbe
Autor:
Subrata Mitra, Shanka Subhra Mondal, Ramanuja Simha, Nikhil Sheoran, Neeraj Dhake, Ravinder Nehra
Publikováno v:
APSys
Large multi-tenant production clusters often have to handle a variety of jobs and applications with a variety of complex resource usage characteristics. It is non-trivial and non-optimal to manually create placement rules for scheduling that would de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6651e9947bca413bb8ad37dac91de7f0