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Kieran McVeigh

Showing results (1-10 of 7) with videos related to

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Emotion (Washington, D.C.)|August 21, 2023
Fear-related psychophysiological patterns are situation and individual dependent: A Bayesian model comparison approachKieran McVeigh, Ian R Kleckner, Karen S Quigley, et al.
Biorxiv : the Preprint Server for Biology|February 24, 2025
Using deep generative models for simultaneous representational and predictive modeling of brain and behavior: A graded unsupervised-to-supervised modeling frameworkKieran McVeigh, Ashutosh Singh, Deniz Erdogmus, et al.
Emotion (Washington, D.C.)|October 7, 2024
Disentangling three valence-related dimensions of emotion valuation: The good, the pleasant, and the desirableSuhjin Lee, Kieran McVeigh, Maxine Garcia, et al.
Emotion (Washington, D.C.)|June 26, 2025
The inadequacy of normative ratings for building stimulus sets in affective scienceChristiana Westlin, Kieran McVeigh, Ilana Korogodsky, et al.
Nature Neuroscience|October 23, 2025
Cortical and subcortical mapping of the human allostatic-interoceptive system using 7 Tesla fMRIJiahe Zhang, Danlei Chen, Philip Deming, et al.
Biorxiv : the Preprint Server for Biology|August 7, 2023
Cortical and subcortical mapping of the allostatic-interoceptive system in the human brain using 7 Tesla fMRIJiahe Zhang, Danlei Chen, Philip Deming, et al.
Royal Society Open Science|June 26, 2025
Big team science reveals promises and limitations of machine learning efforts to model physiological markers of affective experienceNicholas A Coles, Bartosz Perz, Maciej Behnke, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Emotion (Washington, D.C.)|August 21, 2023
Fear-related psychophysiological patterns are situation and individual dependent: A Bayesian model comparison approachKieran McVeigh, Ian R Kleckner, Karen S Quigley, et al.
Biorxiv : the Preprint Server for Biology|February 24, 2025
Using deep generative models for simultaneous representational and predictive modeling of brain and behavior: A graded unsupervised-to-supervised modeling frameworkKieran McVeigh, Ashutosh Singh, Deniz Erdogmus, et al.
Emotion (Washington, D.C.)|October 7, 2024
Disentangling three valence-related dimensions of emotion valuation: The good, the pleasant, and the desirableSuhjin Lee, Kieran McVeigh, Maxine Garcia, et al.
Emotion (Washington, D.C.)|June 26, 2025
The inadequacy of normative ratings for building stimulus sets in affective scienceChristiana Westlin, Kieran McVeigh, Ilana Korogodsky, et al.
Nature Neuroscience|October 23, 2025
Cortical and subcortical mapping of the human allostatic-interoceptive system using 7 Tesla fMRIJiahe Zhang, Danlei Chen, Philip Deming, et al.
Biorxiv : the Preprint Server for Biology|August 7, 2023
Cortical and subcortical mapping of the allostatic-interoceptive system in the human brain using 7 Tesla fMRIJiahe Zhang, Danlei Chen, Philip Deming, et al.
Royal Society Open Science|June 26, 2025
Big team science reveals promises and limitations of machine learning efforts to model physiological markers of affective experienceNicholas A Coles, Bartosz Perz, Maciej Behnke, et al.
Pageof 1