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1
Rethinking Motor Learning and Savings in Adaptation Paradigms: Model-Free Memory for Successful Actions Combines with Internal Models
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Rethinking Motor Learning and Savings in Adaptation Paradigms: Model-Free Memory for Successful Actions Combines with Internal Models

Huang, Vincent S. ; Haith, Adrian ; Mazzoni, Pietro ; Krakauer, John W.

Neuron (Cambridge, Mass.), 2011-05, Vol.70 (4), p.787-801 [Periódico revisado por pares]

United States: Elsevier Inc

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2
Discovery of interconnected causal drivers of COVID-19 vaccination intentions in the US using a causal Bayesian network
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Discovery of interconnected causal drivers of COVID-19 vaccination intentions in the US using a causal Bayesian network

Fung, Henry ; Sgaier, Sema K ; Huang, Vincent S

Scientific reports, 2023-05, Vol.13 (1), p.6988-6988, Article 6988 [Periódico revisado por pares]

England: Nature Publishing Group

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3
Persistence of Motor Memories Reflects Statistics of the Learning Event
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Persistence of Motor Memories Reflects Statistics of the Learning Event

Huang, Vincent S ; Shadmehr, Reza

Journal of neurophysiology, 2009-08, Vol.102 (2), p.931-940 [Periódico revisado por pares]

United States: Am Phys Soc

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4
Persistent residual errors in motor adaptation tasks: reversion to baseline and exploratory escape
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Persistent residual errors in motor adaptation tasks: reversion to baseline and exploratory escape

Vaswani, Pavan A ; Shmuelof, Lior ; Haith, Adrian M ; Delnicki, Raymond J ; Huang, Vincent S ; Mazzoni, Pietro ; Shadmehr, Reza ; Krakauer, John W

The Journal of neuroscience, 2015-04, Vol.35 (17), p.6969-6977 [Periódico revisado por pares]

United States: Society for Neuroscience

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5
How do psychobehavioural variables shed light on heterogeneity in COVID-19 vaccine acceptance? Evidence from United States general population surveys on a probability panel and social media
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How do psychobehavioural variables shed light on heterogeneity in COVID-19 vaccine acceptance? Evidence from United States general population surveys on a probability panel and social media

Charles, Grace K ; Braunstein, Sofia P ; Barker, Jessica L ; Fung, Henry ; Coome, Lindsay ; Kumar, Rohan ; Huang, Vincent S ; Kemp, Hannah ; Grant, Eli ; Bernard, Drew ; Barefoot, Darren ; Sgaier, Sema K

BMJ open, 2023-06, Vol.13 (6), p.e066897-e066897 [Periódico revisado por pares]

England: British Medical Journal Publishing Group

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6
Causal Datasheet for Datasets: An Evaluation Guide for Real-World Data Analysis and Data Collection Design Using Bayesian Networks
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Causal Datasheet for Datasets: An Evaluation Guide for Real-World Data Analysis and Data Collection Design Using Bayesian Networks

Butcher, Bradley ; Huang, Vincent S ; Robinson, Christopher ; Reffin, Jeremy ; Sgaier, Sema K ; Charles, Grace ; Quadrianto, Novi

Frontiers in artificial intelligence, 2021-04, Vol.4, p.612551-612551 [Periódico revisado por pares]

Switzerland: Frontiers Media S.A

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7
Evolution of Motor Memory During the Seconds After Observation of Motor Error
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Evolution of Motor Memory During the Seconds After Observation of Motor Error

Huang, Vincent S ; Shadmehr, Reza

Journal of neurophysiology, 2007-06, Vol.97 (6), p.3976-3985 [Periódico revisado por pares]

United States: Am Phys Soc

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8
Active Learning: Learning a Motor Skill Without a Coach
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Active Learning: Learning a Motor Skill Without a Coach

Huang, Vincent S ; Shadmehr, Reza ; Diedrichsen, Jorn

Journal of neurophysiology, 2008-08, Vol.100 (2), p.879-887 [Periódico revisado por pares]

United States: Am Phys Soc

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9
Closing the gap on institutional delivery in northern India: a case study of how integrated machine learning approaches can enable precision public health
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Closing the gap on institutional delivery in northern India: a case study of how integrated machine learning approaches can enable precision public health

Huang, Vincent S ; Morris, Kasey ; Jain, Mokshada ; Ramesh, Banadakoppa Manjappa ; Kemp, Hannah ; Blanchard, James ; Isac, Shajy ; Sarkar, Bidyut ; Gothalwal, Vikas ; Namasivayam, Vasanthakumar ; Kumar, Pankaj ; Sgaier, Sema K

BMJ global health, 2020-10, Vol.5 (10), p.e002340 [Periódico revisado por pares]

England: BMJ Publishing Group LTD

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10
Information-Seeking Patterns During the COVID-19 Pandemic Across the United States: Longitudinal Analysis of Google Trends Data
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Information-Seeking Patterns During the COVID-19 Pandemic Across the United States: Longitudinal Analysis of Google Trends Data

Mangono, Tichakunda ; Smittenaar, Peter ; Caplan, Yael ; Huang, Vincent S ; Sutermaster, Staci ; Kemp, Hannah ; Sgaier, Sema K

Journal of medical Internet research, 2021-05, Vol.23 (5), p.e22933-e22933 [Periódico revisado por pares]

Canada: Gunther Eysenbach MD MPH, Associate Professor

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