Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ana Van Gulick"'
Autor:
John Borghi, Ana Van Gulick
Publikováno v:
Harvard Data Science Review (2022)
Externí odkaz:
https://doaj.org/article/3782ce84477045ecad047b9da52271ca
Autor:
Ana Van Gulick, Nicole Pfeiffer, Sara Gonzales, Gabriela Regan, Jessica Herzog, David Scherer, Mark Hahnel, Kristi Holmes, Julie Wood, Kelly Stathis
Summary report of Virtual Generalist Repository Ecosystem Initiative (GREI) Workshopheld January 24 & 25, 2023. Workshop recordings and slides available at: https://doi.org/10.5281/zenodo.7714262 The NIH Virtual Generalist Repository Ecosystem Initia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::124a1542b979c6e4d93dcfb56426210c
In 2022, the NIH Office of Data Science Strategy (ODSS) launched the Generalist Repository Ecosystem Initiative (GREI) to enable better sharing, access to, and discovery of NIH-funded data among generalist repositories. GREI Vision The long-term visi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::44b346276757437a0f7bb236f3006c5e
https://zenodo.org/record/8015846
https://zenodo.org/record/8015846
Autor:
Elizabeth Levitis, Cassandra Doris Gould van Praag, Remi Gau, Stephan Heunis, Elizabeth DuPre, Greg Kiar, Katherine L Bottenhorn, Tristan Glatard, Aki Nikolaidis, Kirstie Jane Whitaker, Matteo Mancini, Guiomar Niso, Soroosh Afyouni, Eva Alonso Ortiz, Stefan Appelhoff, Aurina Arnatkeviciute, Melvin Selim ATAY, Tibor Auer, Giulia Baracchini, Johanna Margarete Marianne Bayer, Michael J. S. Beauvais, Janine Diane Bijsterbosch, Isil Poyraz Bilgin, Saskia Bollmann, Steffen Bollmann, Rotem Botvinik-Nezer, Molly G Bright, Vince D Calhoun, Xiao Chen, Sidhant Chopra, Hu Chuan-Peng, Thomas Close, Savannah Cookson, Cameron Craddock, Alejandro De La Vega, Benjamin De Leener, Damion Demeter, Paola Di Maio, Erin W Dickie, Simon B Eickhoff, Oscar Esteban, Karolina Finc, Matteo Frigo, Saampras Ganesan, Melanie Ganz, Kelly Garner, Eduardo A. Garza-Villarreal, Gabriel Gonzalez-Escamilla, Rohit Goswami, John David Griffiths, Tijl Grootswagers, Samuel Guay, Olivia Guest, Daniel A. Handwerker, Peer Herholz, Katja Heuer, Dorien Huijser, Vittorio Iacovella, Michael Joseph, Agah Karakuzu, David Keator, Xenia Kobeleva, Manoj Kumar, Angie Laird, Linda J. Larson-Prior, Alexandra Lautarescu, Alberto Lazari, Jon Haitz Legarreta Gorroño, Jeff jeffers, Jinglei Lv, Sina Mansour L., David Meunier, Dustin Moraczewski, Tulika Nandi, Samuel A. Nastase, Matthias Nau, Stephanie Noble, Martin Norgaard, Johnes Obungoloch, Robert Oostenveld, Edwina R Orchard, Ana Luísa Pinho, Russell Poldrack, Anqi Qiu, Pradeep Reddy Raamana, Ariel Rokem, Saige Rutherford, Malvika Sharan, Thomas Shaw, Warda T Syeda, Meghan M. Testerman, Roberto Toro, Sofie L. Valk, Sofie Van Den Bossche, Gael P. Varoquaux, Frantisek Vasa, Michele Veldsman, Jakub Vohryzek, Adina Svenja Wagner, Reubs J Walsh, Tonya White, null zuxfoucault, Xihe Xie, Chao-Gan Yan, Yu-Fang Yang, Yohan Yee, Gaston E Zanitti, Ana Van Gulick, Eugene Duff, Camille MAUMET
Publikováno v:
GigaScience
GigaScience, 2021, 10 (8), ⟨10.1093/gigascience/giab051⟩
GigaScience, BioMed Central, 2021, 10 (8), ⟨10.1093/gigascience/giab051⟩
Levitis, E, Van Praag, C D G, Gau, R, Heunis, S, Dupre, E, Kiar, G, Bottenhorn, K L, Glatard, T, Nikolaidis, A, Whitaker, K J, Mancini, M, Niso, G, Afyouni, S, Alonso-Ortiz, E, Appelhoff, S, Arnatkeviciute, A, Atay, S M, Auer, T, Baracchini, G, Bayer, J M M, Beauvais, M J S, Bijsterbosch, J D, Bilgin, I P, Bollmann, S, Bollmann, S, Botvinik-Nezer, R, Bright, M G, Calhoun, V D, Chen, X, Chopra, S, Chuan-Peng, H, Close, T G, Cookson, S L, Craddock, R C, De La Vega, A, De Leener, B, Demeter, D V, Di Maio, P, Dickie, E W, Eickhoff, S B, Esteban, O, Finc, K, Frigo, M, Ganesan, S, Ganz, M, Garner, K G, Garza-Villarreal, E A, Gonzalez-Escamilla, G, Goswami, R, Griffiths, J D, Grootswagers, T, Guay, S, Guest, O, Handwerker, D A, Herholz, P, Heuer, K, Huijser, D C, Iacovella, V, Joseph, M J E, Karakuzu, A, Keator, D B, Kobeleva, X, Kumar, M, Laird, A R, Larson-Prior, L J, Lautarescu, A, Lazari, A, Legarreta, J H, Li, X Y, Lv, J, Mansour L., S, Meunier, D, Moraczewski, D, Nandi, T, Nastase, S A, Nau, M, Noble, S, Norgaard, M, Obungoloch, J, Oostenveld, R, Orchard, E R, Pinho, A L, Poldrack, R A, Qiu, A, Raamana, P R, Rokem, A, Rutherford, S, Sharan, M, Shaw, T B, Syeda, W T, Testerman, M M, Toro, R, Valk, S L, Van Den Bossche, S, Varoquaux, G, Váša, F, Veldsman, M, Vohryzek, J, Wagner, A S, Walsh, R J, White, T, Wong, F T, Xie, X, Yan, C G, Yang, Y F, Yee, Y, Zanitti, G E, Van Gulick, A E, Duff, E & Maumet, C 2021, ' Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective ', GigaScience, vol. 10, no. 8, giab051, pp. 1-14 . https://doi.org/10.1093/gigascience/giab051
Gigascience
GigaScience 10(8), giab051 (2021). doi:10.1093/gigascience/giab051
GigaScience, 2021, 10 (8), ⟨10.1093/gigascience/giab051⟩
GigaScience, BioMed Central, 2021, 10 (8), ⟨10.1093/gigascience/giab051⟩
Levitis, E, Van Praag, C D G, Gau, R, Heunis, S, Dupre, E, Kiar, G, Bottenhorn, K L, Glatard, T, Nikolaidis, A, Whitaker, K J, Mancini, M, Niso, G, Afyouni, S, Alonso-Ortiz, E, Appelhoff, S, Arnatkeviciute, A, Atay, S M, Auer, T, Baracchini, G, Bayer, J M M, Beauvais, M J S, Bijsterbosch, J D, Bilgin, I P, Bollmann, S, Bollmann, S, Botvinik-Nezer, R, Bright, M G, Calhoun, V D, Chen, X, Chopra, S, Chuan-Peng, H, Close, T G, Cookson, S L, Craddock, R C, De La Vega, A, De Leener, B, Demeter, D V, Di Maio, P, Dickie, E W, Eickhoff, S B, Esteban, O, Finc, K, Frigo, M, Ganesan, S, Ganz, M, Garner, K G, Garza-Villarreal, E A, Gonzalez-Escamilla, G, Goswami, R, Griffiths, J D, Grootswagers, T, Guay, S, Guest, O, Handwerker, D A, Herholz, P, Heuer, K, Huijser, D C, Iacovella, V, Joseph, M J E, Karakuzu, A, Keator, D B, Kobeleva, X, Kumar, M, Laird, A R, Larson-Prior, L J, Lautarescu, A, Lazari, A, Legarreta, J H, Li, X Y, Lv, J, Mansour L., S, Meunier, D, Moraczewski, D, Nandi, T, Nastase, S A, Nau, M, Noble, S, Norgaard, M, Obungoloch, J, Oostenveld, R, Orchard, E R, Pinho, A L, Poldrack, R A, Qiu, A, Raamana, P R, Rokem, A, Rutherford, S, Sharan, M, Shaw, T B, Syeda, W T, Testerman, M M, Toro, R, Valk, S L, Van Den Bossche, S, Varoquaux, G, Váša, F, Veldsman, M, Vohryzek, J, Wagner, A S, Walsh, R J, White, T, Wong, F T, Xie, X, Yan, C G, Yang, Y F, Yee, Y, Zanitti, G E, Van Gulick, A E, Duff, E & Maumet, C 2021, ' Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective ', GigaScience, vol. 10, no. 8, giab051, pp. 1-14 . https://doi.org/10.1093/gigascience/giab051
Gigascience
GigaScience 10(8), giab051 (2021). doi:10.1093/gigascience/giab051
As the global health crisis unfolded throughout the world, many academic conferences moved online in 2020. This move has been hailed as a positive step towards inclusivity in its attenuation of economic, physical and legal barriers and effectively en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c70f973370285950053c63d4ef40379
https://www.hal.inserm.fr/inserm-03221005/document
https://www.hal.inserm.fr/inserm-03221005/document
Autor:
Ana Van Gulick, John A. Borghi
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 5, p e0252047 (2021)
PLoS ONE, Vol 16, Iss 5, p e0252047 (2021)
Research data is increasingly viewed as an important scholarly output. While a growing body of studies have investigated researcher practices and perceptions related to data sharing, information about data-related practices throughout the research pr
Autor:
John Borghi, Ana Van Gulick
Research data is increasingly viewed as an important scholarly output. While a growing body of studies have investigated researcher practices and perceptions related to data sharing, information about data-related practices throughout the research pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3575427e5007ff497fef4eb60b673f06
https://doi.org/10.31234/osf.io/7g3ae
https://doi.org/10.31234/osf.io/7g3ae
Publikováno v:
Journal of Cognitive Neuroscience. 28:282-294
The fusiform face area (FFA) is defined by its selectivity for faces. Several studies have shown that the response of FFA to nonface objects can predict behavioral performance for these objects. However, one possible account is that experts pay more
Publikováno v:
British Journal of Social Psychology. 50:501-518
It has been argued that stereotype priming (response times are faster for stereotypical word pairs, such as black-poor, than for non-stereotypical word pairs, such as black-balmy) is partially a function of biases in the belief system inherent in the
Publikováno v:
Behavior research methods. 48(3)
How much do people differ in their abilities to recognize objects, and what is the source of these differences? To address the first question, psychologists have created visual learning tests including the Cambridge Face Memory Test (Duchaine & Nakay
Publikováno v:
Current directions in psychological science. 24(1)
In this article, we review recent work that shows how learning to categorize objects changes how those objects are represented in the mind and the brain. After category learning, visual perception of objects is enhanced along perceptual dimensions th