Paul Schrater

Paul Schrater

University of Minnesota-Twin Cities

H-index: 38

North America-United States

About Paul Schrater

Paul Schrater, With an exceptional h-index of 38 and a recent h-index of 25 (since 2020), a distinguished researcher at University of Minnesota-Twin Cities, specializes in the field of Artificial Intelligence, Computational Psychology, Cognitive Science.

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

Population coding of strategic variables during foraging in freely moving macaques

KIX: A Metacognitive Generalization Framework

Knowledge sheaves: A sheaf-theoretic framework for knowledge graph embedding

The Multifaceted Role of Self‐Generated Question Asking in Curiosity‐Driven Learning

Prediction of human looking behavior using interest-based image representations

Information-Theoretic Neural Decoding Reproduces Several Laws of Human Behavior

Decoding depression severity from intracranial neural activity

The Generation of Original and Known Explanations: How the presence or absence of relevant information influences sense-making and information foraging

Paul Schrater Information

University

Position

___

Citations(all)

5975

Citations(since 2020)

1999

Cited By

4897

hIndex(all)

38

hIndex(since 2020)

25

i10Index(all)

80

i10Index(since 2020)

51

Email

University Profile Page

University of Minnesota-Twin Cities

Google Scholar

View Google Scholar Profile

Paul Schrater Skills & Research Interests

Artificial Intelligence

Computational Psychology

Cognitive Science

Top articles of Paul Schrater

Title

Journal

Author(s)

Publication Date

Population coding of strategic variables during foraging in freely moving macaques

Nature neuroscience

Neda Shahidi

Melissa Franch

Arun Parajuli

Paul Schrater

Anthony Wright

...

2024/3/5

KIX: A Metacognitive Generalization Framework

arXiv preprint arXiv:2402.05346

Arun Kumar

Paul Schrater

2024/2/8

Knowledge sheaves: A sheaf-theoretic framework for knowledge graph embedding

Thomas Gebhart

Jakob Hansen

Paul Schrater

2023/4/11

The Multifaceted Role of Self‐Generated Question Asking in Curiosity‐Driven Learning

Cognitive Science

Kara Kedrick

Paul Schrater

Wilma Koutstaal

2023/4

Prediction of human looking behavior using interest-based image representations

Communications in Information and Systems

Jong-Shenq Guo

Karen Guo

Paul Schrater

2023

Information-Theoretic Neural Decoding Reproduces Several Laws of Human Behavior

Open Mind

S Thomas Christie

Hayden R Johnson

Paul R Schrater

2023/9/20

Decoding depression severity from intracranial neural activity

Biological psychiatry

Jiayang Xiao

Nicole R Provenza

Joseph Asfouri

John Myers

Raissa K Mathura

...

2023/9/15

The Generation of Original and Known Explanations: How the presence or absence of relevant information influences sense-making and information foraging

Proceedings of the Annual Meeting of the Cognitive Science Society

Kara Kedrick

Iris Vilares

Paul Schrater

2022

Neuromatch Academy: a 3-week, online summer school in computational neuroscience

Bernard Marius t Hart

Titipat Achakulvisut

Ayoade Adeyemi

Athena Akrami

Bradly Alicea

...

2022

Linking theories and methods in cognitive sciences via joint embedding of the scientific literature: The example of cognitive control

arXiv preprint arXiv:2203.11016

Morteza Ansarinia

Paul Schrater

Pedro Cardoso-Leite

2022/3/16

Optimal learning under structural environmental uncertainty reveals inherent learning trade-offs

Santiago Herce Castañón

Pedro Cardoso-Leite

C Shawn Green

Daphne Bavelier

Paul Schrater

2022

A unified paths perspective for pruning at initialization

arXiv preprint arXiv:2101.10552

Thomas Gebhart

Udit Saxena

Paul Schrater

2021/1/26

A desire for painful truths: Vocabulary uncertainty drives epistemic curiosity and information seeking, but learning the answer is dissatisfying

Linus Holm

Gustaf Wadenholt

Paul Schrater

2021

Attraction and distraction by task-irrelevant curiosity in a two-armed bandit

Gustaf Wadenholt

Ronald van den Berg

Paul Schrater

Linus Holm

2021

Action planning and control under uncertainty emerge through a desirability-driven competition between parallel encoding motor plans

PLoS computational biology

Vince Enachescu

Paul Schrater

Stefan Schaal

Vassilios Christopoulos

2021/10/1

Neuromatch Academy: Teaching computational neuroscience with global accessibility

Tara van Viegen

Athena Akrami

Kathryn Bonnen

Eric DeWitt

Alexandre Hyafil

...

2021/7/1

A mixture of generative models strategy helps humans generalize across tasks

P Cardoso-Leite

I Altarelli

CS Green

P Schrater

D Bavelier

2021/2/16

Identifying Individual Differences in Sensemaking and Information Foraging.

Kara Kedrick

Sashank Varma

Paul Schrater

2020

Inverse rational control with partially observable continuous nonlinear dynamics

Minhae Kwon

Saurabh Daptardar

Paul R. Schrater

Zachary Pitkow

2020/12

A how-to-model guide for neuroscience

Eneuro

Gunnar Blohm

Konrad P Kording

Paul R Schrater

2020/1/1

See List of Professors in Paul Schrater University(University of Minnesota-Twin Cities)

Co-Authors

H-index: 95
Eero P Simoncelli

Eero P Simoncelli

New York University

H-index: 64
Nikolaos Papanikolopoulos

Nikolaos Papanikolopoulos

University of Minnesota-Twin Cities

H-index: 52
Daniel Kersten

Daniel Kersten

University of Minnesota-Twin Cities

H-index: 51
Alok Gupta

Alok Gupta

University of Minnesota-Twin Cities

H-index: 48
C. Shawn Green

C. Shawn Green

University of Wisconsin-Madison

H-index: 47
Maria Gini

Maria Gini

University of Minnesota-Twin Cities

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