Yaoda Xu

Yaoda Xu

Yale University

H-index: 34

North America-United States

About Yaoda Xu

Yaoda Xu, With an exceptional h-index of 34 and a recent h-index of 25 (since 2020), a distinguished researcher at Yale University, specializes in the field of Cognitive Neuroscience of Human Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Global object shape representations in the primate brain

Representing Multiple Visual Objects in the Human Brain and Convolutional Neural Networks

Parietal-driven visual working memory representation in occipito-temporal cortex

Decision-making from temporally accumulated conflicting evidence: The more the merrier

The impact of eyeglasses on face identity perception

Using DNNs to understand the primate vision: A shortcut or a distraction?

Multiple visual objects are represented differently in the human brain and convolutional neural networks

Comparing the dominance of color and form information across the human ventral visual pathway and convolutional neural networks

Yaoda Xu Information

University

Position

Senior Research Scientist Psychology Department

Citations(all)

5303

Citations(since 2020)

2145

Cited By

4024

hIndex(all)

34

hIndex(since 2020)

25

i10Index(all)

52

i10Index(since 2020)

45

Email

University Profile Page

Google Scholar

Yaoda Xu Skills & Research Interests

Cognitive Neuroscience of Human Vision

Top articles of Yaoda Xu

Title

Journal

Author(s)

Publication Date

Global object shape representations in the primate brain

Yaoda Xu

2023/3/1

Representing Multiple Visual Objects in the Human Brain and Convolutional Neural Networks

bioRxiv

Viola Mocz

Su Keun Jeong

Marvin Chun

Yaoda Xu

2023/3/1

Parietal-driven visual working memory representation in occipito-temporal cortex

Current biology

Yaoda Xu

2023/10/23

Decision-making from temporally accumulated conflicting evidence: The more the merrier

Journal of vision

Viola Mocz

Yaoda Xu

2023/1/3

The impact of eyeglasses on face identity perception

Journal of Vision

Hillary Nguyen

Marvin Chun

Yaoda Xu

2023/8/1

Using DNNs to understand the primate vision: A shortcut or a distraction?

Behavioral and Brain Sciences

Yaoda Xu

Maryam Vaziri-Pashkam

2023/1

Multiple visual objects are represented differently in the human brain and convolutional neural networks

Scientific Reports

Viola Mocz

Su Keun Jeong

Marvin Chun

Yaoda Xu

2023/6/5

Comparing the dominance of color and form information across the human ventral visual pathway and convolutional neural networks

Journal of Cognitive Neuroscience

JohnMark Taylor

Yaoda Xu

2023/5/1

Understanding transformation tolerant visual object representations in the human brain and convolutional neural networks

Neuroimage

Yaoda Xu

Maryam Vaziri-Pashkam

2022/11/1

The contribution of object identity and configuration to scene representation in convolutional neural networks

Plos one

Kevin Tang

Matthew Chin

Marvin Chun

Yaoda Xu

2022/6/28

Representation of color, form, and their conjunction across the human ventral visual pathway

NeuroImage

JohnMark Taylor

Yaoda Xu

2022/5/1

Identifying the neural loci mediating conscious object orientation perception using fMRI MVPA

Cognitive neuropsychology

JohnMark Taylor

Yaoda Xu

2022/2/17

Predicting identity-preserving object transformations in human posterior parietal cortex and convolutional neural networks

Journal of cognitive neuroscience

Viola Mocz

Maryam Vaziri-Pashkam

Marvin Chun

Yaoda Xu

2022/11/1

Joint representation of color and form in convolutional neural networks: A stimulus-rich network perspective

PLoS One

JohnMark Taylor

Yaoda Xu

2021/6/30

Examining the coding strength of object identity and nonidentity features in human occipito-temporal cortex and convolutional neural networks

Journal of Neuroscience

Yaoda Xu

Maryam Vaziri-Pashkam

2021/5/12

Limits to visual representational correspondence between convolutional neural networks and the human brain

Nature communications

Yaoda Xu

Maryam Vaziri-Pashkam

2021/4/6

Conjunctive coding of color and shape in convolutional neural networks

Journal of Vision

J Taylor

Yaoda Xu

2021

The relative coding strength of color and form in the human ventral visual pathway and convolutional neural networks

Journal of Vision

JohnMark Taylor

Yaoda Xu

2021/9/27

Towards a better understanding of information storage in visual working memory

Visual cognition

Yaoda Xu

2021/8/9

Transformations of Object Representations Across the Human Visual Processing Hierarchy

Journal of Vision

Viola Mocz

Maryam Vaziri-Pashkam

Marvin Chun

Yaoda Xu

2020/10/20

See List of Professors in Yaoda Xu University(Yale University)

Co-Authors

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