Nathaniel D. Daw

Nathaniel D. Daw

Princeton University

H-index: 89

North America-United States

About Nathaniel D. Daw

Nathaniel D. Daw, With an exceptional h-index of 89 and a recent h-index of 72 (since 2020), a distinguished researcher at Princeton University,

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

Dynamic reinforcement learning reveals time-dependent shifts in strategy during reward learning.

Program-Based Strategy Induction for Reinforcement Learning

Pre-existing visual responses in a projection-defined dopamine population explain individual learning trajectories

Learning attentional templates for value-based decision-making

Anxiety symptoms of major depression associated with increased willingness to exert cognitive, but not physical effort

Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis

Building compositional tasks with shared neural subspaces

Prioritizing replay when future goals are unknown

Nathaniel D. Daw Information

University

Position

Professor of Neurocience and Psychology

Citations(all)

35660

Citations(since 2020)

18846

Cited By

24986

hIndex(all)

89

hIndex(since 2020)

72

i10Index(all)

155

i10Index(since 2020)

146

Email

University Profile Page

Princeton University

Google Scholar

View Google Scholar Profile

Top articles of Nathaniel D. Daw

Title

Journal

Author(s)

Publication Date

Dynamic reinforcement learning reveals time-dependent shifts in strategy during reward learning.

bioRxiv

Sarah Jo C Venditto

Kevin J Miller

Carlos D Brody

Nathaniel D Daw

2024

Program-Based Strategy Induction for Reinforcement Learning

arXiv preprint arXiv:2402.16668

Carlos G Correa

Thomas L Griffiths

Nathaniel D Daw

2024/2/26

Pre-existing visual responses in a projection-defined dopamine population explain individual learning trajectories

bioRxiv

Alejandro Pan Vazquez

Yoel Sanchez Araujo

Brenna McMannon

Miranta Louka

Akhil Bandi

...

2024

Learning attentional templates for value-based decision-making

Cell

Caroline I Jahn

Nikola T Markov

Britney Morea

Nathaniel D Daw

R Becket Ebitz

...

2024/2/21

Anxiety symptoms of major depression associated with increased willingness to exert cognitive, but not physical effort

medRxiv

Laura A Bustamante

Deanna M Barch

Johanne Solis

Temitope Oshinowo

Ivan Grahek

...

2024

Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis

Advances in Neural Information Processing Systems

Alexander Meulemans

Simon Schug

Seijin Kobayashi

Gregory Wayne

2024/2/13

Building compositional tasks with shared neural subspaces

bioRxiv

Sina Tafazoli

Flora M Bouchacourt

Adel Ardalan

Nikola T Markov

Motoaki Uchimura

...

2024/2/1

Prioritizing replay when future goals are unknown

bioRxiv

Yotam Sagiv

Thomas Akam

Ilana Witten

Nathaniel Douglass Daw

2024

Exploring the hierarchical structure of human plans via program generation

arXiv preprint arXiv:2311.18644

Carlos G Correa

Sophia Sanborn

Mark K Ho

Frederick Callaway

Nathaniel D Daw

...

2023/11/30

Magnetic voluntary head-fixation in transgenic rats enables lifetime imaging of hippocampal neurons

bioRxiv

P Dylan Rich

Stephan Y Thiberge

Benjamin B Scott

Caiying Guo

D Gowanlock Tervo

...

2023

Computational processes of simultaneous learning of stochasticity and volatility in humans

Payam Piray

Nathaniel Daw

2023/7/13

Humans rationally balance detailed and temporally abstract world models

bioRxiv

Ari E Kahn

Nathaniel D Daw

2023/11/28

Learning generalizable visuomotor mappings for de novo skills

bioRxiv

Carlos Alan Velazquez-Vargas

Nathaniel Douglass Daw

Jordan A Taylor

2023

Humans decompose tasks by trading off utility and computational cost

PLOS Computational Biology

Carlos G Correa

Mark K Ho

Frederick Callaway

Nathaniel D Daw

Thomas L Griffiths

2023/6/1

Dual credit assignment processes underlie dopamine signals in a complex spatial environment

Neuron

Timothy A Krausz

Alison E Comrie

Ari E Kahn

Loren M Frank

Nathaniel D Daw

...

2023/11/1

Predictive and interpretable: Combining artificial neural networks and classic cognitive models to understand human learning and decision making

BioRxiv

Maria K Eckstein

Christopher Summerfield

Nathaniel D Daw

Kevin J Miller

2023

Model based control can give rise to devaluation insensitive choice

Addiction Neuroscience

Neil Garrett

Sean Allan

Nathaniel D Daw

2023/6/1

Disentangling abstraction from statistical pattern matching in human and machine learning

PLoS computational biology

Sreejan Kumar

Ishita Dasgupta

Nathaniel D Daw

Jonathan D Cohen

Thomas L Griffiths

2023/8/25

Effort Foraging Task reveals positive correlation between individual differences in the cost of cognitive and physical effort in humans

Proceedings of the National Academy of Sciences

Laura A Bustamante

Temitope Oshinowo

Jeremy R Lee

Elizabeth Tong

Allison R Burton

...

2023/12/12

An item response theory analysis of the Matrix Reasoning Item Bank (MaRs-IB)

Behavior Research Methods

Samuel Zorowitz

Gabriele Chierchia

Sarah-Jayne Blakemore

Nathaniel D Daw

2023/4/5

See List of Professors in Nathaniel D. Daw University(Princeton University)

Co-Authors

H-index: 261
Prof. T.W. Robbins

Prof. T.W. Robbins

University of Cambridge

H-index: 150
Jonathan D. Cohen

Jonathan D. Cohen

Princeton University

H-index: 103
Elizabeth Phelps

Elizabeth Phelps

Harvard University

H-index: 98
Aaron Courville

Aaron Courville

Université de Montréal

H-index: 97
John P. O'Doherty

John P. O'Doherty

California Institute of Technology

H-index: 83
Valerie Voon

Valerie Voon

University of Cambridge

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