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Charles Y Zheng

Showing results (1-10 of 11) with videos related to

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Advances in Neural Information Processing Systems|February 17, 2015
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human BrainCharles Y Zheng, Franco Pestilli, Ariel Rokem
Journal of the American Academy of Child and Adolescent Psychiatry|June 23, 2026
Data-Driven Profiles of Youth Executive Function and Their Longitudinal Associations With Externalizing ProblemsZoë E Laky, Daniel S Pine, Charles Y Zheng, et al.
Nature Human Behaviour|October 13, 2020
Revealing the multidimensional mental representations of natural objects underlying human similarity judgementsMartin N Hebart, Charles Y Zheng, Francisco Pereira, et al.
Plos One|March 18, 2025
Multivariate prediction of temper outbursts in a sample of youth enriched for irritability using ecological momentary assessment data: A registered reportDipta Saha, Reut Naim, Francisco Pereira, et al.
Journal of Vision|July 30, 2019
Subtle predictive movements reveal actions regardless of social contextEmalie G McMahon, Charles Y Zheng, Francisco Pereira, et al.
Biorxiv : the Preprint Server for Biology|June 12, 2025
Computational characterization of metacognitive ability in subjective decision-makingCorey R Plate, Dhruv Govil, Charles Y Zheng, et al.
Neuroimage|December 22, 2018
Efficacy of different dynamic functional connectivity methods to capture cognitively relevant informationHua Xie, Charles Y Zheng, Daniel A Handwerker, et al.
Advances in Neural Information Processing Systems|August 11, 2021
Distributed Weight Consolidation: A Brain Segmentation Case StudyPatrick McClure, Jakub R Kaczmarzyk, Satrajit S Ghosh, et al.
Elife|February 27, 2023
THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behaviorMartin N Hebart, Oliver Contier, Lina Teichmann, et al.
Frontiers in Neuroinformatics|November 22, 2019
Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural NetworksPatrick McClure, Nao Rho, John A Lee, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Advances in Neural Information Processing Systems|February 17, 2015
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human BrainCharles Y Zheng, Franco Pestilli, Ariel Rokem
Journal of the American Academy of Child and Adolescent Psychiatry|June 23, 2026
Data-Driven Profiles of Youth Executive Function and Their Longitudinal Associations With Externalizing ProblemsZoë E Laky, Daniel S Pine, Charles Y Zheng, et al.
Nature Human Behaviour|October 13, 2020
Revealing the multidimensional mental representations of natural objects underlying human similarity judgementsMartin N Hebart, Charles Y Zheng, Francisco Pereira, et al.
Plos One|March 18, 2025
Multivariate prediction of temper outbursts in a sample of youth enriched for irritability using ecological momentary assessment data: A registered reportDipta Saha, Reut Naim, Francisco Pereira, et al.
Journal of Vision|July 30, 2019
Subtle predictive movements reveal actions regardless of social contextEmalie G McMahon, Charles Y Zheng, Francisco Pereira, et al.
Biorxiv : the Preprint Server for Biology|June 12, 2025
Computational characterization of metacognitive ability in subjective decision-makingCorey R Plate, Dhruv Govil, Charles Y Zheng, et al.
Neuroimage|December 22, 2018
Efficacy of different dynamic functional connectivity methods to capture cognitively relevant informationHua Xie, Charles Y Zheng, Daniel A Handwerker, et al.
Advances in Neural Information Processing Systems|August 11, 2021
Distributed Weight Consolidation: A Brain Segmentation Case StudyPatrick McClure, Jakub R Kaczmarzyk, Satrajit S Ghosh, et al.
Elife|February 27, 2023
THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behaviorMartin N Hebart, Oliver Contier, Lina Teichmann, et al.
Frontiers in Neuroinformatics|November 22, 2019
Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural NetworksPatrick McClure, Nao Rho, John A Lee, et al.
Pageof 2