Yael Niv

Yael Niv

Princeton University

H-index: 63

North America-United States

About Yael Niv

Yael Niv, With an exceptional h-index of 63 and a recent h-index of 56 (since 2020), a distinguished researcher at Princeton University, specializes in the field of reinforcement learning, neuroeconomics, fMRI, cognitive neuroscience, computational neuroscience.

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

159. Examining Depression and Anxiety Symptoms in Treatment-Seekers and Non-Seekers Using Network Analysis

The utility of a latent-cause framework for understanding addiction phenomena

Valence-based memory prioritization as a mechanism of spontaneous recovery of fear after extinction

Improving the reliability of cognitive task measures: A narrative review

Human inductive biases for aversive continual learning—a hierarchical Bayesian nonparametric model

Improving the Reliability of the Pavlovian Go/no-go Task

Inattentive responding can induce spurious associations between task behaviour and symptom measures

A Reinforcement Learning Framework to Illuminate Change Mechanisms Underlying Specific Psychotherapy Interventions

Yael Niv Information

University

Position

Professor of Psychology and Neuroscience

Citations(all)

20690

Citations(since 2020)

11346

Cited By

14189

hIndex(all)

63

hIndex(since 2020)

56

i10Index(all)

103

i10Index(since 2020)

94

Email

University Profile Page

Princeton University

Google Scholar

View Google Scholar Profile

Yael Niv Skills & Research Interests

reinforcement learning

neuroeconomics

fMRI

cognitive neuroscience

computational neuroscience

Top articles of Yael Niv

Title

Journal

Author(s)

Publication Date

159. Examining Depression and Anxiety Symptoms in Treatment-Seekers and Non-Seekers Using Network Analysis

Biological Psychiatry

Jamie Chin Chiu

Yael Niv

2024/5/15

The utility of a latent-cause framework for understanding addiction phenomena

Addiction Neuroscience

Sashank Pisupati

Angela J Langdon

Anna B Konova

Yael Niv

2024/3/1

Valence-based memory prioritization as a mechanism of spontaneous recovery of fear after extinction

Isabel Berwian

Sashank Pisupati

Jamie Chiu

Yongjing Ren

Yael Niv

2024/2/4

Improving the reliability of cognitive task measures: A narrative review

Samuel Zorowitz

Yael Niv

2023/8/1

Human inductive biases for aversive continual learning—a hierarchical Bayesian nonparametric model

Proceedings of the 2nd conference on lifelong learning agents

Sashank Pisupati

Isabel M Berwian

Jamie Chiu

Yongjing Ren

Yael Niv

2023/11/20

Improving the Reliability of the Pavlovian Go/no-go Task

Samuel Zorowitz

Gili Karni

Natalie Paredes

Nathaniel Daw

Yael Niv

2023/7/20

Inattentive responding can induce spurious associations between task behaviour and symptom measures

Nature Human Behaviour

Samuel Zorowitz

Johanne Solis

Yael Niv

Daniel Bennett

2023/10

A Reinforcement Learning Framework to Illuminate Change Mechanisms Underlying Specific Psychotherapy Interventions

Biological Psychiatry

Isabel M Berwian

Sashank Pisupati

Yael Niv

2023/5/1

Schemas, reinforcement learning, and the medial prefrontal cortex

Oded Bein

Yael Niv

2023/9/5

Modelling rumination as a state-inference process

Proceedings of the Annual Meeting of the Cognitive Science Society

Rachel L Bedder

Sashank Pisupati

Yael Niv

2023

Using learning theories to advance psychotherapy theory and research

Isabel Berwian

Peter Hitchcock

Sashank Pisupati

Gila Schoen

Yael Niv

2023/8

Affect-congruent attention modulates generalized reward expectations

PLoS computational biology

Daniel Bennett

Angela Radulescu

Sam Zorowitz

Valkyrie Felso

Yael Niv

2023/12/21

A practical guide for studying human behavior in the lab

Behavior Research Methods

Joao Barbosa

Heike Stein

Sam Zorowitz

Yael Niv

Christopher Summerfield

...

2023/1

Multiple routes to enhanced memory for emotionally relevant events

Nina Rouhani

Yael Niv

Michael J Frank

Lars Schwabe

2023/8

States as goal-directed concepts: an epistemic approach to state-representation learning

arXiv preprint arXiv:2312.02367

Nadav Amir

Yael Niv

Angela Langdon

2023/12/4

Explaining the effectiveness of fear extinction through latent-cause inference

arXiv preprint arXiv:2205.04670

Mingyu Song

Carolyn E Jones

Marie-H Monfils

Yael Niv

2022/5/10

Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning

PLoS computational biology

Mingyu Song

Persis A Baah

Ming Bo Cai

Yael Niv

2022/11/23

PSY/NEU 338 3 May 2022 A Long and Winding Road: Detailing Pathways to Addiction

Katherine Belilty

Mark Dodici

Nathan Shin

Yael Niv

Rachel Bedder

2022/5/3

Computational Approaches

Computational Psychiatry: New Perspectives on Mental Illness

Zeb Kurth-Nelson

John P O'Doherty

Deanna M Barch

Sophie Denève

Daniel Durstewitz

...

2022/11/1

A model of mood as integrated advantage.

Psychological Review

Daniel Bennett

Guy Davidson

Yael Niv

2022/4

See List of Professors in Yael Niv University(Princeton University)

Co-Authors

H-index: 150
Jonathan D. Cohen

Jonathan D. Cohen

Princeton University

H-index: 103
Elizabeth Phelps

Elizabeth Phelps

Harvard University

H-index: 97
John P. O'Doherty

John P. O'Doherty

California Institute of Technology

H-index: 89
Nathaniel D. Daw

Nathaniel D. Daw

Princeton University

H-index: 72
Samuel Gershman

Samuel Gershman

Harvard University

H-index: 68
Kenneth A. Norman

Kenneth A. Norman

Princeton University

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