Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Tanya Y. Berger-Wolf"'
Autor:
Daniel A. Llano, Chihua Ma, Umberto Di Fabrizio, Aynaz Taheri, Kevin A. Stebbings, Georgiy Yudintsev, Gang Xiao, Robert V. Kenyon, Tanya Y. Berger-Wolf
Publikováno v:
Network Neuroscience, Vol 5, Iss 2, Pp 569-590 (2021)
AbstractNetwork analysis of large-scale neuroimaging data is a particularly challenging computational problem. Here, we adapt a novel analytical tool, the community dynamic inference method (CommDy), for brain imaging data from young and aged mice. C
Externí odkaz:
https://doaj.org/article/2edca82b330149eea595b897b44e83d7
Autor:
Gang Xiao, Tanya Y. Berger-Wolf, Georgiy Yudintsev, Daniel A. Llano, Umberto Di Fabrizio, Chihua Ma, Aynaz Taheri, Kevin A. Stebbings, Robert V. Kenyon
Publikováno v:
Network Neuroscience, Vol 5, Iss 2, Pp 569-590 (2021)
Network Neuroscience
Network Neuroscience
Network analysis of large-scale neuroimaging data is a particularly challenging computational problem. Here, we adapt a novel analytical tool, the community dynamic inference method (CommDy), for brain imaging data from young and aged mice. CommDy, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77279e8b78e65614f4964222b5d60ab1
https://direct.mit.edu/netn/article/5/2/569/98349/A-novel-dynamic-network-imaging-analysis-method
https://direct.mit.edu/netn/article/5/2/569/98349/A-novel-dynamic-network-imaging-analysis-method
Autor:
Ben Carterette, Tanya Y. Berger-Wolf, Tamer Elsayed, Hussein Suleman, Fabrizio Sebastiani, Maria Keet
Publikováno v:
ACM SIGIR Forum. 54:1-6
We report on the organization and activities of the 2nd ACM SIGIR/SIGKDD Africa School on Machine Learning for Data Mining and Search, which took place at the University of Cape Town in South Africa January 27--31, 2020.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::747972b181fdccbc887a34617d32fff4
https://doi.org/10.1145/3451964.3451968
https://doi.org/10.1145/3451964.3451968
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 14:1-22
How do groups of individuals achieve consensus in movement decisions? Do individuals follow their friends, the one predetermined leader, or whomever just happens to be nearby? To address these questions computationally, we formalize "Coordination Str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6de572c028bf1d53fc06ac97c46ee432
https://doi.org/10.1145/3385730
https://doi.org/10.1145/3385730
Autor:
Daniel I Rubenstein, Siva R Sundaresan, Ilya R Fischhoff, Chayant Tantipathananandh, Tanya Y Berger-Wolf
Publikováno v:
PLoS ONE, Vol 10, Iss 10, p e0138645 (2015)
Understanding why animal societies take on the form that they do has benefited from insights gained by applying social network analysis to patterns of individual associations. Such analyses typically aggregate data over long time periods even though
Externí odkaz:
https://doaj.org/article/a8b6699d0ae748978563ad1972588382
Publikováno v:
Scopus-Elsevier
Leadership plays a key role in social animals, including humans, decision-making and coalescence in coordinated activities such as hunting, migration, sport, diplomatic negotiation etc. In these coordinated activities, leadership is a process that or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c98813a5d1903775ae01d0c3f083afcf
http://arxiv.org/abs/2104.02291
http://arxiv.org/abs/2104.02291
Publikováno v:
Journal of Medical Internet Research
Background The onset of the COVID-19 pandemic and the consequent “infodemic” increased concerns about Twitter’s role in advancing antivaccination messages, even before a vaccine became available to the public. New computational methods allow fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cf7218a7fc25e89c1b8b96bd55f7ae3
https://pubmed.ncbi.nlm.nih.gov/34665760
https://pubmed.ncbi.nlm.nih.gov/34665760
Autor:
Daniel A. Llano, Robert V. Kenyon, Baher A. Ibrahim, Tanya Y. Berger-Wolf, Aynaz Taheri, Ashwini G. Naik
BackgroundUnderstanding functional correlations between the activities of neuron populations is vital for the analysis of neuronal networks. Analyzing large-scale neuroimaging data obtained from hundreds of neurons simultaneously poses significant vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cebdf1afd6c34dadaaf14ffb77aee2a
https://doi.org/10.1101/2020.12.03.410761
https://doi.org/10.1101/2020.12.03.410761
Leadership and followership are essential parts of collective decision and organization in social animals, including humans. In nature, relationships of leaders and followers are dynamic and vary with context or temporal factors. Understanding dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f419e1a3d5ecb9d9899f46ed81ac7726
http://arxiv.org/abs/2010.01587
http://arxiv.org/abs/2010.01587
Publikováno v:
ICHMS
Activity profiling is key to understand individual behavior and group dynamics for a species. To date, individuals monitoring is directly performed by the ethologist, leading to several limitations in the quantity and quality of the results. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::500b40f507c7277df06af45ce3ebcbe0
http://hdl.handle.net/11311/1169205
http://hdl.handle.net/11311/1169205