Search Results - "Zheng, Charles Y"

Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks by McClure, Patrick, Rho, Nao, Lee, John A., Kaczmarzyk, Jakub R., Zheng, Charles Y., Ghosh, Satrajit S., Nielson, Dylan M., Thomas, Adam G., Bandettini, Peter, Pereira, Francisco

“…In this paper, we describe a Bayesian deep neural network (DNN) for predicting FreeSurfer segmentations of structural MRI volumes, in minutes rather than…”
Get full text

Revealing the multidimensional mental representations of natural objects underlying human similarity judgements by Hebart, Martin N., Zheng, Charles Y., Pereira, Francisco, Baker, Chris I.

“…Objects can be characterized according to a vast number of possible criteria (such as animacy, shape, colour and function), but some dimensions are more useful…”
Get full text

Great Expectations: A Critical Review of and Suggestions for the Study of Reward Processing as a Cause and Predictor of Depression by Nielson, Dylan M., Keren, Hanna, O’Callaghan, Georgia, Jackson, Sarah M., Douka, Ioanna, Vidal-Ribas, Pablo, Pornpattananangkul, Narun, Camp, Christopher C., Gorham, Lisa S., Wei, Christine, Kirwan, Stuart, Zheng, Charles Y., Stringaris, Argyris

“…Both human and animal studies support the relationship between depression and reward processing abnormalities, giving rise to the expectation that neural…”
Get full text

THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior by Hebart, Martin N, Contier, Oliver, Teichmann, Lina, Rockter, Adam H, Zheng, Charles Y, Kidder, Alexis, Corriveau, Anna, Vaziri-Pashkam, Maryam, Baker, Chris I

“…Understanding object representations requires a broad, comprehensive sampling of the objects in our visual world with dense measurements of brain activity and…”
Get full text

Efficacy of different dynamic functional connectivity methods to capture cognitively relevant information by Xie, Hua, Zheng, Charles Y., Handwerker, Daniel A., Bandettini, Peter A., Calhoun, Vince D., Mitra, Sunanda, Gonzalez-Castillo, Javier

“…Given the dynamic nature of the human brain, there has been an increasing interest in investigating short-term temporal changes in functional connectivity,…”
Get full text

Subtle predictive movements reveal actions regardless of social context by McMahon, Emalie G, Zheng, Charles Y, Pereira, Francisco, Gonzalez, Ray, Ungerleider, Leslie G, Vaziri-Pashkam, Maryam

“…Humans have a remarkable ability to predict the actions of others. To address what information enables this prediction and how the information is modulated by…”
Get full text

Revealing the behaviorally-relevant dimensions underlying mental representations of objects by Hebart, Martin N, Zheng, Charles Y, Pereira, Francisco, Baker, Chris I

Get full text

Humans and Machine Learning Classifiers Can Predict the Goal of an Action Regardless of Social Motivations of the Actor by McMahon, Emalie G, Zheng, Charles Y, Pereira, Francisco, Ray, Gonzalez, Nakayama, Ken, Ungerleider, Leslie G, Vaziri-Pashkam, Maryam

Get full text

Revealing the multidimensional mental representations of natural objects underlying human similarity judgments by Hebart, Martin N., Zheng, Charles Y., Pereira, Francisco, Baker, Chris I.

“…Objects can be characterized according to a vast number of possible criteria (e.g. animacy, shape, color, function), but some dimensions are more useful than…”
Get full text

Testing for context-dependent changes in neural encoding in naturalistic experiments by Chen, Yenho, Harris, Carl W, Ma, Xiaoyu, Li, Zheng, Pereira, Francisco, Zheng, Charles Y

“…We propose a decoding-based approach to detect context effects on neural codes in longitudinal neural recording data. The approach is agnostic to how…”
Get full text

VICE: Variational Interpretable Concept Embeddings by Muttenthaler, Lukas, Zheng, Charles Y, McClure, Patrick, Vandermeulen, Robert A, Hebart, Martin N, Pereira, Francisco

“…A central goal in the cognitive sciences is the development of numerical models for mental representations of object concepts. This paper introduces…”
Get full text

Estimating mutual information in high dimensions via classification error by Zheng, Charles Y, Benjamini, Yuval

“…Multivariate pattern analyses approaches in neuroimaging are fundamentally concerned with investigating the quantity and type of information processed by…”
Get full text

How many faces can be recognized? Performance extrapolation for multi-class classification by Zheng, Charles Y, Achanta, Rakesh, Benjamini, Yuval

“…The difficulty of multi-class classification generally increases with the number of classes. Using data from a subset of the classes, can we predict how well a…”
Get full text

Revealing interpretable object representations from human behavior by Zheng, Charles Y, Pereira, Francisco, Baker, Chris I, Hebart, Martin N

“…To study how mental object representations are related to behavior, we estimated sparse, non-negative representations of objects using human behavioral…”
Get full text

Distributed Weight Consolidation: A Brain Segmentation Case Study by McClure, Patrick, Zheng, Charles Y, Kaczmarzyk, Jakub R, Lee, John A, Ghosh, Satrajit S, Nielson, Dylan, Bandettini, Peter, Pereira, Francisco

“…Collecting the large datasets needed to train deep neural networks can be very difficult, particularly for the many applications for which sharing and pooling…”
Get full text