C. Zheng

发表

THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in brain and behavior

Chris Baker, M. Hebart, M. Vaziri-Pashkam, 2022, bioRxiv.

Magnetoencephalographic correlates of mood and reward dynamics in human adolescents

D. Nielson, Hanna Keren, A. Stringaris, 2021, Cerebral cortex.

Predicting human perceived similarity across a wide range of object categories via sparse positive embeddings

Chris I. Baker, Martin N. Hebart, Charles Y. Zheng, 2018 .

VICE: Variational Interpretable Concept Embeddings

Robert A. Vandermeulen, Patrick McClure, Francisco Pereira, 2022, NeurIPS.

Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks

Satrajit S. Ghosh, Adam G. Thomas, John A. Lee, 2018, Front. Neuroinform..

Knowing what you know in brain segmentation using deep neural networks pdf

Satrajit S. Ghosh, Adam G. Thomas, Charles Y. Zheng, 2018, ArXiv.

Great Expectations: A Critical Review of and Suggestions for the Study of Reward Processing as a Cause and Predictor of Depression

Narun Pornpattananangkul, Dylan M. Nielson, Hanna Keren, 2020, Biological Psychiatry.

Great Expectations: A Critical Review of and Recommendations for the study of Reward Processing as a Cause and Predictor of Depression

Charles Y. Zheng, D. Nielson, Hanna Keren, 2020, bioRxiv.

Detecting and harmonizing scanner differences in the ABCD study - annual release 1.0

Adam G. Thomas, Charles Y. Zheng, Peter A. Bandettini, 2018, bioRxiv.

THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior

Chris Baker, M. Hebart, M. Vaziri-Pashkam, 2023, bioRxiv.

Revealing the multidimensional mental representations of natural objects underlying human similarity judgments

Charles Y. Zheng, C. Baker, M. Hebart, 2020, Nature Human Behaviour.

Revealing interpretable object representations from human behavior pdf

Chris I. Baker, Martin N. Hebart, Charles Y. Zheng, 2019, ICLR.

A highly replicable decline in mood during rest and simple tasks

Adam G. Thomas, D. Pine, D. Nielson, 2023, Nature Human Behaviour.

Electrophysiological correlates of mood and reward dynamics in human adolescents

D. Nielson, Hanna Keren, A. Stringaris, 2021, bioRxiv.

The temporal representation of experience in subjective mood

D. Nielson, Hanna Keren, A. Stringaris, 2021, eLife.

THINGS-fMRI/MEG: A large-scale multimodal neuroimaging dataset of responses to natural object images

Martin N. Hebart, Maryam Vaziri-Pashkam, Lina Teichmann, 2021, Journal of Vision.

Working memory and reward increase the accuracy of animal location encoding in the medial prefrontal cortex.

Zheng Li, Xiaoyu Ma, Francisco Pereira, 2022, Cerebral cortex.

Subtle predictive movements reveal actions regardless of social context

Leslie G. Ungerleider, Francisco Pereira, Maryam Vaziri-Pashkam, 2019, Journal of vision.

Distributed Weight Consolidation: A Brain Segmentation Case Study

Satrajit S. Ghosh, Charles Y. Zheng, Peter A. Bandettini, 2018, NeurIPS.

Parallel Weight Consolidation: A Brain Segmentation Case Study pdf

Charles Y. Zheng, Peter A. Bandettini, Patrick McClure, 2018, ArXiv.

Timing matters: The temporal representation of experience in subjective mood reports

Charles Y. Zheng, D. Nielson, Hanna Keren, 2019 .

Timing matters: primacy effects of experience on mood revealed using a novel Mood-Machine-Interface

Charles Y. Zheng, D. Nielson, Hanna Keren, 2019, bioRxiv.

Humans and Machine Learning Classifiers Can Predict the Goal of an Action Regardless of Social Motivations of the Actor

Leslie G. Ungerleider, Francisco Pereira, Maryam Vaziri-Pashkam, 2019, Journal of Vision.

THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior

Chris Baker, M. Hebart, M. Vaziri-Pashkam, 2023, eLife.