Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Nathaniel Haines

Showing results (1-10 of 17) with videos related to

Pageof 2
Sort By:
Psychopathology|July 15, 2020
Moving beyond Ordinary Factor Analysis in Studies of Personality and Personality Disorder: A Computational Modeling PerspectiveNathaniel Haines, Theodore P Beauchaine
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|March 30, 2023
From Classical Methods to Generative Models: Tackling the Unreliability of Neuroscientific Measures in Mental Health ResearchNathaniel Haines, Holly Sullivan-Toole, Thomas Olino
Computational Psychiatry (Cambridge, Mass.)|March 31, 2018
Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM PackageWoo-Young Ahn, Nathaniel Haines, Lei Zhang
Cognitive Science|October 6, 2018
The Outcome-Representation Learning Model: A Novel Reinforcement Learning Model of the Iowa Gambling TaskNathaniel Haines, Jasmin Vassileva, Woo-Young Ahn
Cognitive, Affective & Behavioral Neuroscience|June 8, 2023
Explaining the description-experience gap in risky decision-making: learning and memory retention during experience as causal mechanismsNathaniel Haines, Peter D Kvam, Brandon M Turner
Computational Psychiatry (Cambridge, Mass.)|June 19, 2023
Enhancing the Psychometric Properties of the Iowa Gambling Task Using Full Generative ModelingHolly Sullivan-Toole, Nathaniel Haines, Kristina Dale, et al.
Cognitive, Affective & Behavioral Neuroscience|July 30, 2025
Reward and punishment learning among people with a lifetime history of anxiety, depression, and substance use disorderJeremy M Haynes, Holly Sullivan-Toole, Nathaniel Haines, et al.
Cognitive, Affective & Behavioral Neuroscience|June 7, 2024
Test-retest reliability of the play-or-pass version of the Iowa Gambling TaskJeremy M Haynes, Nathaniel Haines, Holly Sullivan-Toole, et al.
Drug and Alcohol Dependence|November 19, 2019
A computational model of the Cambridge gambling task with applications to substance use disordersRicardo J Romeu, Nathaniel Haines, Woo-Young Ahn, et al.
Plos One|February 6, 2019
Using computer-vision and machine learning to automate facial coding of positive and negative affect intensityNathaniel Haines, Matthew W Southward, Jennifer S Cheavens, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Psychopathology|July 15, 2020
Moving beyond Ordinary Factor Analysis in Studies of Personality and Personality Disorder: A Computational Modeling PerspectiveNathaniel Haines, Theodore P Beauchaine
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|March 30, 2023
From Classical Methods to Generative Models: Tackling the Unreliability of Neuroscientific Measures in Mental Health ResearchNathaniel Haines, Holly Sullivan-Toole, Thomas Olino
Computational Psychiatry (Cambridge, Mass.)|March 31, 2018
Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM PackageWoo-Young Ahn, Nathaniel Haines, Lei Zhang
Cognitive Science|October 6, 2018
The Outcome-Representation Learning Model: A Novel Reinforcement Learning Model of the Iowa Gambling TaskNathaniel Haines, Jasmin Vassileva, Woo-Young Ahn
Cognitive, Affective & Behavioral Neuroscience|June 8, 2023
Explaining the description-experience gap in risky decision-making: learning and memory retention during experience as causal mechanismsNathaniel Haines, Peter D Kvam, Brandon M Turner
Computational Psychiatry (Cambridge, Mass.)|June 19, 2023
Enhancing the Psychometric Properties of the Iowa Gambling Task Using Full Generative ModelingHolly Sullivan-Toole, Nathaniel Haines, Kristina Dale, et al.
Cognitive, Affective & Behavioral Neuroscience|July 30, 2025
Reward and punishment learning among people with a lifetime history of anxiety, depression, and substance use disorderJeremy M Haynes, Holly Sullivan-Toole, Nathaniel Haines, et al.
Cognitive, Affective & Behavioral Neuroscience|June 7, 2024
Test-retest reliability of the play-or-pass version of the Iowa Gambling TaskJeremy M Haynes, Nathaniel Haines, Holly Sullivan-Toole, et al.
Drug and Alcohol Dependence|November 19, 2019
A computational model of the Cambridge gambling task with applications to substance use disordersRicardo J Romeu, Nathaniel Haines, Woo-Young Ahn, et al.
Plos One|February 6, 2019
Using computer-vision and machine learning to automate facial coding of positive and negative affect intensityNathaniel Haines, Matthew W Southward, Jennifer S Cheavens, et al.
Pageof 2