Yael Niv

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 14

Top Topics

Hypothesis Testing

Robust Estimator

Reinforcement Learning

Temporal Characteristics

Top Venues

PLoS Comput. Biol.

Top. Cogn. Sci.

Publications

Nadav Amir, Yael Niv, Angela Langdon
States as goal-directed concepts: an epistemic approach to state-representation learning. CoRR (2023)
Rachel L. Bedder, Sashank Pisupati, Yael Niv
Modelling Rumination as a State-Inference Process. CogSci (2023)
Daniel Bennett, Angela Radulescu, Sam Zorowitz, Valkyrie Felso, Yael Niv
Affect-congruent attention modulates generalized reward expectations. PLoS Comput. Biol. 19 (12) (2023)
Sashank Pisupati, Isabel M. Berwian, Jamie Chiu, Yongjing Ren, Yael Niv
Human inductive biases for aversive continual learning - a hierarchical Bayesian nonparametric model. CoLLAs (2023)
Mingyu Song, Yuji K. Takahash, Amanda C. Burton, Matthew R. Roesch, Geoffrey Schoenbaum, Yael Niv, Angela Langdon
Minimal cross-trial generalization in learning the representation of an odor-guided choice task. PLoS Comput. Biol. 18 (3) (2022)
Mingyu Song, Persis A. Baah, Ming Bo Cai, Yael Niv
Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning. PLoS Comput. Biol. 18 (11) (2022)
Mingyu Song, Yael Niv, Mingbo Cai
Using Recurrent Neural Networks to Understand Human Reward Learning. CogSci (2021)
Gecia Bravo Hermsdorff, Valkyrie Felso, Emily Ray, Lee M. Gunderson, Mary E. Helander, Joana Maria, Yael Niv
Gender and collaboration patterns in a temporal scientific authorship network. CoRR (2020)
Mingyu Song, Yael Niv, Mingbo Cai
Learning what is relevant for rewards via value-based serial hypothesis testing. CogSci (2020)
Gecia Bravo Hermsdorff, Valkyrie Felso, Emily Ray, Lee M. Gunderson, Mary E. Helander, Joana Maria, Yael Niv
Gender and collaboration patterns in a temporal scientific authorship network. Appl. Netw. Sci. 4 (1) (2019)
Mingbo Cai, Nicolas W. Schuck, Jonathan W. Pillow, Yael Niv
Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias. PLoS Comput. Biol. 15 (5) (2019)
Yotam Sagiv, Sebastian Musslick, Yael Niv, Jonathan D. Cohen
Efficiency of learning vs. processing: Towards a normative theory of multitasking. CogSci (2018)
Peter Hitchcock, Yael Niv, Angela Radulescu, Chris R. Sims
Translating a Reinforcement Learning Task into a Computational Psychiatry Assay: Challenges and Strategies. CogSci (2017)
Mingbo Cai, Nicolas W. Schuck, Jonathan W. Pillow, Yael Niv
A Bayesian method for reducing bias in neural representational similarity analysis. NIPS (2016)
Samuel J. Gershman, Yael Niv
Novelty and Inductive Generalization in Human Reinforcement Learning. Top. Cogn. Sci. 7 (3) (2015)
Robert C. Wilson, Yael Niv
Is Model Fitting Necessary for Model-Based fMRI? PLoS Comput. Biol. 11 (6) (2015)
Alec Solway, Carlos Diuk, Natalia Córdova, Debbie Yee, Andrew G. Barto, Yael Niv, Matthew Botvinick
Optimal Behavioral Hierarchy. PLoS Comput. Biol. 10 (8) (2014)
Samuel Gershman, Angela Radulescu, Kenneth A. Norman, Yael Niv
Statistical Computations Underlying the Dynamics of Memory Updating. PLoS Comput. Biol. 10 (11) (2014)
Anastasia Christakou, Samuel Gershman, Yael Niv, Andrew Simmons, Mick Brammer, Katya Rubia
Neural and Psychological Maturation of Decision-making in Adolescence and Young Adulthood. J. Cogn. Neurosci. 25 (11) (2013)
Kenji Doya, John P. O'Doherty, Alexandre Pouget, Peter Bossaerts, Nathaniel D. Daw, Yael Niv
Neural Computations Supporting Cognition: Rumelhart Prize Symposium in Honor of Peter Dayan. CogSci (2012)
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
Computational, Neuroscientific, and Lifespan Perspectives on the Exploration-Exploitation Dilemma. CogSci (2011)
Yael Niv
Tutorial summary: The neuroscience of reinforcement learning. ICML (2009)
John R. Staddon, Yael Niv
Operant conditioning. Scholarpedia 3 (9) (2008)
Michael T. Todd, Yael Niv, Jonathan D. Cohen
Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement. NIPS (2008)
Peter Dayan, Yael Niv, Ben Seymour, Nathaniel D. Daw
The misbehavior of value and the discipline of the will. Neural Networks 19 (8) (2006)
Yael Niv, Nathaniel D. Daw, Peter Dayan
How fast to work: Response vigor, motivation and tonic dopamine. NIPS (2005)
Daphna Joel, Yael Niv, Eytan Ruppin
Actor-critic models of the basal ganglia: new anatomical and computational perspectives. Neural Networks 15 (4-6) (2002)
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin
Evolution of reinforcement learning in foraging bees: a simple explanation for risk averse behavior. Neurocomputing (2002)
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin
Evolution of Reinforcement Learning in Uncertain Environments: A Simple Explanation for Complex Foraging Behaviors. Adapt. Behav. 10 (1) (2002)
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching. ECAL (2001)