John Pearson

John Pearson

Duke University

H-index: 28

North America-United States

About John Pearson

John Pearson, With an exceptional h-index of 28 and a recent h-index of 24 (since 2020), a distinguished researcher at Duke University, specializes in the field of Neuroscience, decision making, machine learning.

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

Social cognitive processes explain bias in juror decisions

Sophisticated models, minimum descriptions, and the Goldilocks zone of behavior: Comment on" Beyond simple laboratory studies: Developing sophisticated models to study rich …

Bayesian and Discriminative Models for Active Visual Perception across Saccades

Generative models of birdsong learning link circadian fluctuations in song variability to changes in performance

Neuronal mechanisms of dynamic strategic competition

Measuring and modeling confidence in human causal judgment

Efficient coding, channel capacity, and the emergence of retinal mosaics

Neural support for contributions of utility and narrative processing of evidence in juror decision making

John Pearson Information

University

Position

___

Citations(all)

4809

Citations(since 2020)

2491

Cited By

3317

hIndex(all)

28

hIndex(since 2020)

24

i10Index(all)

45

i10Index(since 2020)

39

Email

University Profile Page

Duke University

Google Scholar

View Google Scholar Profile

John Pearson Skills & Research Interests

Neuroscience

decision making

machine learning

Top articles of John Pearson

Title

Journal

Author(s)

Publication Date

Social cognitive processes explain bias in juror decisions

Jaime J Castrellon

Shabnam Hakimi

Jacob Parelman

Sam Yin

Jonathan R Law

...

2021/9/9

Sophisticated models, minimum descriptions, and the Goldilocks zone of behavior: Comment on" Beyond simple laboratory studies: Developing sophisticated models to study rich …

John Pearson

Achint Kumar

2023/10/20

Bayesian and Discriminative Models for Active Visual Perception across Saccades

eNeuro

Divya Subramanian

John M Pearson

Marc A Sommer

2023/7/13

Generative models of birdsong learning link circadian fluctuations in song variability to changes in performance

PLOS Computational Biology

Samuel Brudner

John Pearson

Richard Mooney

2023/5/1

Neuronal mechanisms of dynamic strategic competition

Research Square

Yaoguang Jiang

Kelsey R McDonald

John M Pearson

Michael L Platt

2023/3/20

Measuring and modeling confidence in human causal judgment

Proceedings of the Annual Meeting of the Cognitive Science Society

Kevin O’Neill

Paul Henne

John Pearson

Felipe DeBrigard

2022

Efficient coding, channel capacity, and the emergence of retinal mosaics

Advances in neural information processing systems

Na Young Jun

Greg Field

John Pearson

2022/12/6

Neural support for contributions of utility and narrative processing of evidence in juror decision making

Journal of Neuroscience

Jaime J Castrellon

Shabnam Hakimi

Jacob M Parelman

Lun Yin

Jonathan R Law

...

2022/10/5

Confidence and gradation in causal judgment

Cognition

Kevin O'Neill

Paul Henne

Paul Bello

John Pearson

Felipe De Brigard

2022/6/1

Between heuristics and optimality: Flexible integration of cost and evidence during information sampling

bioRxiv

Abigail Hsiung

John M Pearson

Jia-Hou Poh

Shabnam Hakimi

R Alison Adcock

...

2022

Neurons in primate prefrontal cortex signal valuable social information during natural viewing

Philosophical Transactions of the Royal Society B

Geoffrey K Adams

Wei Song Ong

John M Pearson

Karli K Watson

Michael L Platt

2021/3/1

Deep Generative Analysis for Task-Based Functional MRI Experiments

Daniela de Albuquerque

Jack Goffinet

Rachael Wright

John Pearson

2021/10/21

improv: A flexible software platform for adaptive neuroscience experiments

bioRxiv

Anne Draelos

Maxim Nikitchenko

Chaichontat Sriworarat

Daniel Sprague

Matthew D Loring

...

2021/2/23

Scene statistics and noise determine the relative arrangement of receptive field mosaics

Proceedings of the National Academy of Sciences

Na Young Jun

Greg D Field

John Pearson

2021/9/28

Encoding of odors by mammalian olfactory receptors

bioRxiv

Aashutosh Vihani

Maira H Nagai

Conan Juan

Claire A de March

Xiaoyang S Hu

...

2021/12/28

Machine learning prediction of neurocognitive impairment among people with HIV using clinical and multimodal magnetic resonance imaging data

Journal of neurovirology

Yunan Xu

Yizi Lin

Ryan P Bell

Sheri L Towe

John M Pearson

...

2021/2

Low-dimensional learned feature spaces quantify individual and group differences in vocal repertoires

eLife

Jack Goffinet

Samuel Brudner

Richard Mooney

John Pearson

2021/5/14

Bubblewrap: Online tiling and real-time flow prediction on neural manifolds

Advances in Neural Information Processing Systems

Anne Draelos

Pranjal Gupta

Na Young Jun

Chaichontat Sriworarat

John Pearson

2021/12/6

Attention-deficit/hyperactivity disorder and the explore/exploit trade-off

Neuropsychopharmacology

Merideth A Addicott

John M Pearson

Julia C Schechter

Jeffrey J Sapyta

Margaret D Weiss

...

2021/2

Inter-mosaic coordination of retinal receptive fields

Nature

Suva Roy

Na Young Jun

Emily L Davis

John Pearson

Greg D Field

2021/4

See List of Professors in John Pearson University(Duke University)

Co-Authors

H-index: 78
Scott Huettel

Scott Huettel

Duke University

H-index: 74
Marty Woldorff

Marty Woldorff

Duke University

H-index: 53
F. Joseph McClernon

F. Joseph McClernon

Duke University

H-index: 31
Lauren J.N. Brent

Lauren J.N. Brent

University of Exeter

H-index: 29
Steve W. C. Chang

Steve W. C. Chang

Yale University

H-index: 27
Greg Field

Greg Field

Duke University

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