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Frontiers in Artificial Intelligence
|
March 18, 2021
A Bayesian Account of Generalist and Specialist Formation Under the Active Inference Framework
Anthony G Chen, David Benrimoh, Thomas Parr, et al.
Developmental Science
|
September 15, 2022
Executive function measurement in urban schools: Exploring links between performance-based metrics and teacher ratings
Annie K Zonneveld, Zewelanji Serpell, Teresa Parr, et al.
The New Zealand Medical Journal
|
April 23, 1980
Ocular cryptococcosis in New Zealand
J S Chapman-Smith, D H Parr, P J Say
Emergency Medicine Australasia : EMA
|
August 14, 2021
Aussie KIDS SAVE LIVES: A position statement from the Australian Resuscitation Council and supported by stakeholders
Janet Bray, Jason Acworth, Greg Page, et al.
Alcohol and Alcoholism (Oxford, Oxfordshire)
|
May 10, 2021
Using Machine Learning to Identify and Investigate Moderators of Alcohol Use Intervention Effects in Meta-Analyses
Nicholas J Parr, Christopher M Loan, Emily E Tanner-Smith
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
June 12, 2019
Dynamic Causal Modelling of Active Vision
Thomas Parr, M Berk Mirza, Hayriye Cagnan, et al.
Frontiers in Integrative Neuroscience
|
October 9, 2018
Precision and False Perceptual Inference
Thomas Parr, David A Benrimoh, Peter Vincent, et al.
Scientific Reports
|
September 28, 2019
Introducing a Bayesian model of selective attention based on active inference
M Berk Mirza, Rick A Adams, Karl Friston, et al.
Journal of Alzheimer'S Disease : JAD
|
March 2, 2011
PPARγ co-activator-1α (PGC-1α) reduces amyloid-β generation through a PPARγ-dependent mechanism
Loukia Katsouri, Callum Parr, Nenad Bogdanovic, et al.
Melanoma Research
|
January 30, 2008
Reproducibility of self-reported melanoma risk factors in a large cohort study of Norwegian women
Marit B Veierød, Christine L Parr, Eiliv Lund, et al.
Page
of 291
Search research articles
Search
Showing results (771-780 of 2,910) with videos related to
Sort By:
Page
of 291
Frontiers in Artificial Intelligence
|
March 18, 2021
A Bayesian Account of Generalist and Specialist Formation Under the Active Inference Framework
Anthony G Chen, David Benrimoh, Thomas Parr, et al.
Developmental Science
|
September 15, 2022
Executive function measurement in urban schools: Exploring links between performance-based metrics and teacher ratings
Annie K Zonneveld, Zewelanji Serpell, Teresa Parr, et al.
The New Zealand Medical Journal
|
April 23, 1980
Ocular cryptococcosis in New Zealand
J S Chapman-Smith, D H Parr, P J Say
Emergency Medicine Australasia : EMA
|
August 14, 2021
Aussie KIDS SAVE LIVES: A position statement from the Australian Resuscitation Council and supported by stakeholders
Janet Bray, Jason Acworth, Greg Page, et al.
Alcohol and Alcoholism (Oxford, Oxfordshire)
|
May 10, 2021
Using Machine Learning to Identify and Investigate Moderators of Alcohol Use Intervention Effects in Meta-Analyses
Nicholas J Parr, Christopher M Loan, Emily E Tanner-Smith
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
June 12, 2019
Dynamic Causal Modelling of Active Vision
Thomas Parr, M Berk Mirza, Hayriye Cagnan, et al.
Frontiers in Integrative Neuroscience
|
October 9, 2018
Precision and False Perceptual Inference
Thomas Parr, David A Benrimoh, Peter Vincent, et al.
Scientific Reports
|
September 28, 2019
Introducing a Bayesian model of selective attention based on active inference
M Berk Mirza, Rick A Adams, Karl Friston, et al.
Journal of Alzheimer'S Disease : JAD
|
March 2, 2011
PPARγ co-activator-1α (PGC-1α) reduces amyloid-β generation through a PPARγ-dependent mechanism
Loukia Katsouri, Callum Parr, Nenad Bogdanovic, et al.
Melanoma Research
|
January 30, 2008
Reproducibility of self-reported melanoma risk factors in a large cohort study of Norwegian women
Marit B Veierød, Christine L Parr, Eiliv Lund, et al.
Page
of 291