Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Mayank Kabra"'
Publikováno v:
Proceedings of the Great Lakes Symposium on VLSI 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::530b590cea90624735aee7b710815ce1
https://doi.org/10.1145/3583781.3590290
https://doi.org/10.1145/3583781.3590290
Publikováno v:
2023 24th International Symposium on Quality Electronic Design (ISQED).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50256fd46eed0e58c69615391091c5b0
https://doi.org/10.1109/isqed57927.2023.10129370
https://doi.org/10.1109/isqed57927.2023.10129370
Publikováno v:
2023 24th International Symposium on Quality Electronic Design (ISQED).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91be40d3dce87014f12882f0bc6a0d28
https://doi.org/10.1109/isqed57927.2023.10129307
https://doi.org/10.1109/isqed57927.2023.10129307
Publikováno v:
2022 IEEE Nordic Circuits and Systems Conference (NorCAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1e39fc18cf3e441d6085bf014101eec
https://doi.org/10.1109/norcas57515.2022.9934217
https://doi.org/10.1109/norcas57515.2022.9934217
Autor:
Kristin Branson, Adam W. Hantman, Mayank Kabra, Wendy W Guo, Nakul Verma, Jian-Zhong Guo, Matteo Mischiati, Britton Sauerbrei
Skillful control of movement is central to our ability to sense and manipulate the world. A large body of work in nonhuman primates has demonstrated that motor cortex provides flexible, time-varying activity patterns that control the arm during reach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40886269a4df86700823be745669800a
https://doi.org/10.1101/266320
https://doi.org/10.1101/266320
Autor:
Brett D. Mensh, Nakul Verma, Adam W. Hantman, Britton Sauerbrei, Mayank Kabra, Matteo Mischiati, Jian-Zhong Guo, Wendy W Guo, Jeremy D. Cohen, Kristin Branson
Publikováno v:
Nature
The motor cortex controls skilled arm movement by sending temporal patterns of activity to lower motor centres1. Local cortical dynamics are thought to shape these patterns throughout movement execution2-4. External inputs have been implicated in set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74378e7b942772189e9fad9942fce9e7
https://pubmed.ncbi.nlm.nih.gov/31992874
https://pubmed.ncbi.nlm.nih.gov/31992874
Autor:
Alison Vollmer, Mayank Kabra, Alla Y. Karpova, Mikhail Proskurin, Maxim Manakov, Dougal G.R. Tervo, Kristin Branson
Publikováno v:
Cell. 159(1):21-32
SummaryBehavioral choices that ignore prior experience promote exploration and unpredictability but are seemingly at odds with the brain’s tendency to use experience to optimize behavioral choice. Indeed, when faced with virtual competitors, primat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1a6db7c460390423486721ab8f49a7a
Autor:
Pankaj N. Desai, Chintan N. Patel, Mayank Kabrawala, Subhash Nanadwani, Rajiv Mehta, Ritesh Prajapati, Nisharg Patel, Mohit Sethia
Publikováno v:
Journal of Digestive Endoscopy, Vol 13, Iss 04, Pp 243-250 (2022)
Endoscopy is an evolving science and the last two decades has seen it expand exponentially at a pace unapparelled in the past. With the advancement in new procedures like image-enhanced endoscopy, magnifying endoscopy, third space endoscopy, and high
Externí odkaz:
https://doaj.org/article/d5acac96f56247fb86509e844a7fb03a
Publikováno v:
CVPR
Modern supervised learning algorithms can learn very accurate and complex discriminating functions. But when these classifiers fail, this complexity can also be a drawback because there is no easy, intuitive way to diagnose why they are failing and r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81f2d4cbe29065fab2030b834fef07bc
https://doi.org/10.1109/cvpr.2015.7299017
https://doi.org/10.1109/cvpr.2015.7299017
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
We present a machine learning-based system for automatically computing interpretable, quantitative measures of animal behavior. Through our interactive system, users encode their intuition about behavior by annotating a small set of video frames. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8de193a9b139acb316cfe2c13bbbfafb
https://hdl.handle.net/10400.7/601
https://hdl.handle.net/10400.7/601