Michelle R. Greene

Michelle R. Greene

Bates College

H-index: 20

North America-United States

About Michelle R. Greene

Michelle R. Greene, With an exceptional h-index of 20 and a recent h-index of 17 (since 2020), a distinguished researcher at Bates College, specializes in the field of Vision science, cognitive psychology, cognitive science, scene perception.

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

The Visual Experience Dataset: Over 200 Recorded Hours of Integrated Eye Movement, Odometry, and Egocentric Video

Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems

Eye movements during active vision are not driven by saliency, meaning, or aesthetics

Spatial Scene Memories Are Biased Towards a Fixed Amount of Semantic Information

Scene Perception and Understanding

The role of texture summary statistics in material recognition from drawings and photographs

Viewpoint and seasonal variations in natural scene statistics

The Spatiotemporal Dynamics of Goal-driven Efficient-coding Revealed Through Brain-supervised Sparse Code Mapping

Michelle R. Greene Information

University

Position

Assistant Professor of Neuroscience

Citations(all)

3072

Citations(since 2020)

1383

Cited By

2331

hIndex(all)

20

hIndex(since 2020)

17

i10Index(all)

22

i10Index(since 2020)

18

Email

University Profile Page

Bates College

Google Scholar

View Google Scholar Profile

Michelle R. Greene Skills & Research Interests

Vision science

cognitive psychology

cognitive science

scene perception

Top articles of Michelle R. Greene

Title

Journal

Author(s)

Publication Date

The Visual Experience Dataset: Over 200 Recorded Hours of Integrated Eye Movement, Odometry, and Egocentric Video

arXiv preprint arXiv:2404.18934

Michelle R Greene

Benjamin J Balas

Mark D Lescroart

Paul R MacNeilage

Jennifer A Hart

...

2024/2/15

Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems

arXiv preprint arXiv:2401.13097

Michelle R Greene

Mariam Josyula

Wentao Si

Jennifer A Hart

2024/1/23

Eye movements during active vision are not driven by saliency, meaning, or aesthetics

Journal of Vision

Jennifer Hart

Wentao Si

Joaquin Torres

Ronald Mezile

Benjamin Balas

...

2023/8/1

Spatial Scene Memories Are Biased Towards a Fixed Amount of Semantic Information

Open Mind

Michelle R Greene

Devanshi Trivedi

2023/7/21

Scene Perception and Understanding

Michelle R Greene

2023/3/22

The role of texture summary statistics in material recognition from drawings and photographs

Journal of Vision

Benjamin Balas

Michelle R Greene

2023/12/4

Viewpoint and seasonal variations in natural scene statistics

Journal of Vision

Michelle Greene

Jennifer Hart

Benjamin Balas

2023/8/1

The Spatiotemporal Dynamics of Goal-driven Efficient-coding Revealed Through Brain-supervised Sparse Code Mapping

Journal of Vision

Bruce Hansen

Michelle Greene

David Field

2023/8/1

Dynamic neural representations reveal flexible feature use during scene categorization

Journal of Vision

Michelle Greene

Bruce Hansen

2022/12/5

Methodological limits on sampling visual experience with mobile eye tracking

Journal of Vision

Mark Lescroart

Kamran Binaee

Bharath Shankar

Christian Sinnott

Jennifer A Hart

...

2022/12/5

What we don’t see in image databases

Journal of Vision

Michelle R Greene

Jennifer A Hart

Amina Mohamed

2022/12/5

How do behavioral goals shape the spatiotemporal evolution of the sparse code for scenes?

Journal of Vision

Bruce C Hansen

Michelle R Greene

David J Field

Isabel SH Gephart

Victoria E Gobo

2022/12/5

Spatial scene memories contain a fixed amount of semantic information

Michelle Greene

Devanshi Trivedi

2022/10/11

Evaluating Data Stability During Active Head-Eye Tracking: A Comparison of Dynamic Gaze Error between Two Custom-Built Head-Mounted Devices

Journal of Vision

Kamran Binaee

Bharath Shankar

Brian Szekely

Michelle Greene

Paul MacNeilage

2022/12/5

The basic level of abstraction is prioritized in early neural representations of objects

Michelle Greene

Alyssa M Rohan

2022/7

Sampling Human Visual Experience Through Text and Media Messages

Journal of Vision

Jennifer Hart

Michelle Greene

2021/9/27

Neural Correlates of Efficient Coding of Visual Scenes

Journal of Vision

Michelle Greene

Kathryn Leeke

Bruce Hansen

David Field

2021/9/27

Revealing the cortical transformations of real-world scenes using dynamic electrode-to-image (DETI) mapping

Journal of Vision

Bruce C Hansen

Michelle R Greene

David J Field

2021/9/27

Dynamic Electrode-to-Image (DETI) mapping reveals the human brain’s spatiotemporal code of visual information

PLoS computational biology

Bruce C Hansen

Michelle R Greene

David J Field

2021/9/27

Disentangling the independent contributions of visual and conceptual features to the spatiotemporal dynamics of scene categorization

Journal of Neuroscience

Michelle R Greene

Bruce C Hansen

2020/7/1

See List of Professors in Michelle R. Greene University(Bates College)

Co-Authors

H-index: 144
Li Fei-Fei

Li Fei-Fei

Stanford University

H-index: 92
Jeremy Wolfe

Jeremy Wolfe

Harvard University

H-index: 81
Aude Oliva

Aude Oliva

Massachusetts Institute of Technology

H-index: 40
David J. Field

David J. Field

Cornell University

H-index: 39
Diane Beck

Diane Beck

University of Illinois at Urbana-Champaign

H-index: 37
Melissa Le-Hoa Vo

Melissa Le-Hoa Vo

Goethe-Universität Frankfurt am Main

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