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Drug and Alcohol Dependence
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February 25, 2016
Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence
Woo-Young Ahn, Jasmin Vassileva
Current Opinion in Behavioral Sciences
|
April 23, 2016
Challenges and promises for translating computational tools into clinical practice
Woo-Young Ahn, Jerome R Busemeyer
Cognitive Science
|
October 6, 2018
The Outcome-Representation Learning Model: A Novel Reinforcement Learning Model of the Iowa Gambling Task
Nathaniel Haines, Jasmin Vassileva, Woo-Young Ahn
Computational Psychiatry (Cambridge, Mass.)
|
March 31, 2018
Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package
Woo-Young Ahn, Nathaniel Haines, Lei Zhang
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
|
February 22, 2023
Adaptive Design Optimization as a Promising Tool for Reliable and Efficient Computational Fingerprinting
Mina Kwon, Sang Ho Lee, Woo-Young Ahn
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
|
June 9, 2015
Resting-state EEG, impulsiveness, and personality in daily and nondaily smokers
Olga Rass, Woo-Young Ahn, Brian F O'Donnell
Frontiers in Psychology
|
January 31, 2020
Attitudes Toward Gay Men and Lesbian Women Moderate Heterosexual Adults' Subjective Stress Response to Witnessing Homonegativity
Hunter Hahn, Ilana Seager van Dyk, Woo-Young Ahn
Journal of Mathematical Psychology
|
April 18, 2022
Development of a novel computational model for the Balloon Analogue Risk Task: The Exponential-Weight Mean-Variance Model
Harhim Park, Jaeyeong Yang, Jasmin Vassileva, et al.
BMC Genomics
|
November 21, 2018
Combined genetic influence of the nicotinic receptor gene cluster CHRNA5/A3/B4 on nicotine dependence
Sung-Ha Lee, Woo-Young Ahn, Michał Seweryn, et al.
Journal of Learning Disabilities
|
May 9, 2019
Identifying Children With Clinical Language Disorder: An Application of Machine-Learning Classification
Laura M Justice, Woo-Young Ahn, Jessica A R Logan
Page
of 6
Search research articles
Search
Showing results (1-10 of 60) with videos related to
Sort By:
Page
of 6
Drug and Alcohol Dependence
|
February 25, 2016
Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence
Woo-Young Ahn, Jasmin Vassileva
Current Opinion in Behavioral Sciences
|
April 23, 2016
Challenges and promises for translating computational tools into clinical practice
Woo-Young Ahn, Jerome R Busemeyer
Cognitive Science
|
October 6, 2018
The Outcome-Representation Learning Model: A Novel Reinforcement Learning Model of the Iowa Gambling Task
Nathaniel Haines, Jasmin Vassileva, Woo-Young Ahn
Computational Psychiatry (Cambridge, Mass.)
|
March 31, 2018
Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package
Woo-Young Ahn, Nathaniel Haines, Lei Zhang
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
|
February 22, 2023
Adaptive Design Optimization as a Promising Tool for Reliable and Efficient Computational Fingerprinting
Mina Kwon, Sang Ho Lee, Woo-Young Ahn
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
|
June 9, 2015
Resting-state EEG, impulsiveness, and personality in daily and nondaily smokers
Olga Rass, Woo-Young Ahn, Brian F O'Donnell
Frontiers in Psychology
|
January 31, 2020
Attitudes Toward Gay Men and Lesbian Women Moderate Heterosexual Adults' Subjective Stress Response to Witnessing Homonegativity
Hunter Hahn, Ilana Seager van Dyk, Woo-Young Ahn
Journal of Mathematical Psychology
|
April 18, 2022
Development of a novel computational model for the Balloon Analogue Risk Task: The Exponential-Weight Mean-Variance Model
Harhim Park, Jaeyeong Yang, Jasmin Vassileva, et al.
BMC Genomics
|
November 21, 2018
Combined genetic influence of the nicotinic receptor gene cluster CHRNA5/A3/B4 on nicotine dependence
Sung-Ha Lee, Woo-Young Ahn, Michał Seweryn, et al.
Journal of Learning Disabilities
|
May 9, 2019
Identifying Children With Clinical Language Disorder: An Application of Machine-Learning Classification
Laura M Justice, Woo-Young Ahn, Jessica A R Logan
Page
of 6