Yael Niv

37 papers A* 1B 11Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2025 B conf
Emotions Shape Effort-Reward Choices: Positive Valence Decreases Effort, Except Under High Arousal.
ETRA
Jamie C. Chiu, Nicholas Budny, Aetizaz Sameer, Persis A. Baah, Dan-Mircea Mirea, Isabel M. Berwian, Yael Niv
2025 B conf
How goals affect information seeking.
CogSci
Gili Karni, Nathaniel D. Daw, Yael Niv
2024 B conf
Modeling Cognitive Strategies in Teaching: Integrating Theory of Mind and Heuristics.
CogSci
Sevan K. Harootonian, Yael Niv, Tom Griffiths, Mark K. Ho
2024 B conf
Selective maintenance of negative memories as a mechanism of spontaneous recovery of fear after extinction.
CogSci
Isabel M. Berwian, Sashank Pisupati, Jamie Chin Chiu, Yongjing Ren, Yael Niv
2024 J jnl
States as goal-directed concepts: an epistemic approach to state-representation learning.
RLJ
Nadav Amir, Yael Niv, Angela Langdon
2024 J jnl
The Ubiquity of Time in Latent-cause Inference.
J. Cogn. Neurosci.
Dan-Mircea Mirea, Yeon Soon Shin, Sarah Dubrow, Yael Niv
2023 J jnl
Affect-congruent attention modulates generalized reward expectations.
PLoS Comput. Biol.
Daniel Bennett, Angela Radulescu, Sam Zorowitz, Valkyrie Felso, Yael Niv
2023 — conf
Human inductive biases for aversive continual learning - a hierarchical Bayesian nonparametric model.
CoLLAs
Sashank Pisupati, Isabel M. Berwian, Jamie C. Chiu, Yongjing Ren, Yael Niv
2023 B conf
Modelling Rumination as a State-Inference Process.
CogSci
Rachel L. Bedder, Sashank Pisupati, Yael Niv
2023 J jnl
States as goal-directed concepts: an epistemic approach to state-representation learning.
CoRR
Nadav Amir, Yael Niv, Angela Langdon
2022 J jnl
Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning.
PLoS Comput. Biol.
Mingyu Song, Persis A. Baah, Ming Bo Cai, Yael Niv
2022 J jnl
Minimal cross-trial generalization in learning the representation of an odor-guided choice task.
PLoS Comput. Biol.
Mingyu Song, Yuji K. Takahash, Amanda C. Burton, Matthew R. Roesch, Geoffrey Schoenbaum, Yael Niv, Angela Langdon
2021 B conf
Using Recurrent Neural Networks to Understand Human Reward Learning.
CogSci
Mingyu Song, Yael Niv, Mingbo Cai
2020 J jnl
Gender and collaboration patterns in a temporal scientific authorship network.
CoRR
Gecia Bravo Hermsdorff, Valkyrie Felso, Emily Ray, Lee M. Gunderson, Mary E. Helander, Joana Maria, Yael Niv
2020 B conf
Learning what is relevant for rewards via value-based serial hypothesis testing.
CogSci
Mingyu Song, Yael Niv, Mingbo Cai
2019 J jnl
Gender and collaboration patterns in a temporal scientific authorship network.
Appl. Netw. Sci.
Gecia Bravo Hermsdorff, Valkyrie Felso, Emily Ray, Lee M. Gunderson, Mary E. Helander, Joana Maria, Yael Niv
2019 J jnl
Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias.
PLoS Comput. Biol.
Mingbo Cai, Nicolas W. Schuck, Jonathan W. Pillow, Yael Niv
2018 B conf
Efficiency of learning vs. processing: Towards a normative theory of multitasking.
CogSci
Yotam Sagiv, Sebastian Musslick, Yael Niv, Jonathan D. Cohen
2017 B conf
Translating a Reinforcement Learning Task into a Computational Psychiatry Assay: Challenges and Strategies.
CogSci
Peter Hitchcock, Yael Niv, Angela Radulescu, Chris R. Sims
2016 — conf
A Bayesian method for reducing bias in neural representational similarity analysis.
NIPS
Mingbo Cai, Nicolas W. Schuck, Jonathan W. Pillow, Yael Niv
2015 J jnl
Is Model Fitting Necessary for Model-Based fMRI?
PLoS Comput. Biol.
Robert C. Wilson, Yael Niv
2015 J jnl
Novelty and Inductive Generalization in Human Reinforcement Learning.
Top. Cogn. Sci.
Samuel J. Gershman, Yael Niv
2014 J jnl
Optimal Behavioral Hierarchy.
PLoS Comput. Biol.
Alec Solway, Carlos Diuk, Natalia Córdova, Debbie Yee, Andrew G. Barto, Yael Niv, Matthew M. Botvinick
2014 J jnl
Statistical Computations Underlying the Dynamics of Memory Updating.
PLoS Comput. Biol.
Samuel Gershman, Angela Radulescu, Kenneth A. Norman, Yael Niv
2013 — ch.
Divide and Conquer: Hierarchical Reinforcement Learning and Task Decomposition in Humans.
Computational and Robotic Models of the Hierarchical Organization of Behavior
Carlos Diuk, Anna C. Schapiro, Natalia Córdova, José Ribas-Fernandes, Yael Niv, Matthew M. Botvinick
2013 J jnl
Neural and Psychological Maturation of Decision-making in Adolescence and Young Adulthood.
J. Cogn. Neurosci.
Anastasia Christakou, Samuel Gershman, Yael Niv, Andrew Simmons, Mick Brammer, Katya Rubia
2012 B conf
Neural Computations Supporting Cognition: Rumelhart Prize Symposium in Honor of Peter Dayan.
CogSci
Kenji Doya, John P. O'Doherty, Alexandre Pouget, Peter Bossaerts, Nathaniel D. Daw, Yael Niv
2011 B conf
Computational, Neuroscientific, and Lifespan Perspectives on the Exploration-Exploitation Dilemma.
CogSci
A. Ross Otto, W. Bradley Knox, Bradley C. Love, Samuel Gershman, Yael Niv, Darrell A. Worthy, W. Todd Maddox, Jared M. Hotaling, Jerome R. Busemeyer, Richard M. Shiffrin
2009 A* conf
Tutorial summary: The neuroscience of reinforcement learning.
ICML
Yael Niv
2008 — conf
Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement.
NIPS
Michael T. Todd, Yael Niv, Jonathan D. Cohen
2008 J jnl
Operant conditioning.
Scholarpedia
John R. Staddon, Yael Niv
2006 J jnl
The misbehavior of value and the discipline of the will.
Neural Networks
Peter Dayan, Yael Niv, Ben Seymour, Nathaniel D. Daw
2005 — conf
How fast to work: Response vigor, motivation and tonic dopamine.
NIPS
Yael Niv, Nathaniel D. Daw, Peter Dayan
2002 J jnl
Actor-critic models of the basal ganglia: new anatomical and computational perspectives.
Neural Networks
Daphna Joel, Yael Niv, Eytan Ruppin
2002 J jnl
Evolution of Reinforcement Learning in Uncertain Environments: A Simple Explanation for Complex Foraging Behaviors.
Adapt. Behav.
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin
2002 J jnl
Evolution of reinforcement learning in foraging bees: a simple explanation for risk averse behavior.
Neurocomputing
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin
2001 — conf
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching.
ECAL
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin