Gershman, Samuel, and Yael Niv. (2010) 2010. “Learning Latent Structure: Carving Nature at Its Joints.”. Curr Opin Neurobiol 20 (2): 251–256. doi:10.1016/j.conb.2010.02.008.

Niv, Yael, and Geoffrey Schoenbaum. 2008. “Dialogues on Prediction Errors”. Trends in Cognitive Sciences 12 (7): 265–272. doi:10.1016/j.tics.2008.03.006.

Niv, Yael, and Michal Rivlin-Etzion. (2007) 2007. “Parkinson’s Disease: Fighting the Will?”. Journal of Neuroscience 27 (44): 11777–11779. doi:10.1523/JNEUROSCI.4010-07.2007.

Sharpe, Melissa, Chun Yun Chang, Melissa Liu, Hannah M. Batchelor, Lauren Mueller, Joshua Jones, Yael Niv, and Geoffrey Schoenbaum. 2018. “Dopamine Transients Are Sufficient and Necessary for Acquisition of Model-Based Associations”. Nature Neuroscience 21 (10): 1493. doi:10.1038/s41593-018-0202-5.

Schuck, Nicolas, Ming Bo Cai, Robert Wilson, and Yael Niv. 2016. “Human Orbitofrontal Cortex Represents a Cognitive Map of State Space”. Neuron 91 (6): 1402–1412. doi:10.1016/j.neuron.2016.08.019.

Takahashi*, Yuji, Angela Langdon*, Yael Niv, and Geoffrey Schoenbaum. 2016. “Temporal Specificity of Reward Prediction Errors Signaled by Putative Dopamine Neurons in Rat VTA Depends on Ventral Striatum”. Neuron 91 (1): 182–193. doi:10.1016/j.neuron.2016.05.015.

Niv, Yael, Reka Daniel, Andra Geana, Samuel Gershman, Yuan Chang Leong, Angela Radulescu, and Robert Wilson. (2015) 2015. “Reinforcement Learning in Multidimensional Environments Relies on Attention Mechanisms”. Journal of Neuroscience 35 (21): 8145–8157. doi:10.1523/JNEUROSCI.2978-14.2015.

Niv, Yael, Angela Langdon, and Angela Radulescu. (2015) 2015. “A Free-Choice Premium in the Basal Ganglia”. Trends in Cognitive Sciences 19 (1): 4–5. doi:10.1016/j.tics.2014.09.005.

Sharpe, Melissa, Andrew Wikenheiser, Yael Niv, and Geoffrey Schoenbaum. 2015. “The State of the Orbitofrontal Cortex”. Neuron 88 (6): 1075–1077. doi:10.1016/j.neuron.2015.12.004.

Wilson, Robert, and Yael Niv. 2015. “Is Model Fitting Necessary for Model-Based FMRI?”. PLoS Comput Biol 11 (6): e1004237. doi:10.1371/journal.pcbi.1004237.

Wilson, Robert, Yuji Takahashi, Geoffrey Schoenbaum, Yael Niv, Lee, Luxburg, Guyon, and Garnett. (2014) 2014. “Orbitofrontal Cortex As a Cognitive Map of Task Space”. Neuron 81 (2). Salt Lake City, Utah: Elsevier Inc.: 267–279. doi:10.1016/j.neuron.2013.11.005.

Diuk, Carlos, Karin Tsai, Wallis, Matthew Botvinick, and Yael Niv. (2013) 2013. “Hierarchical Learning Induces Two Simultaneous, But Separable, Prediction Errors in Human Basal Ganglia”. Journal of Neuroscience 33 (13): 5797–5805. doi:10.1523/JNEUROSCI.5445-12.2013.

Niv, Yael, Jeffrey Edlund, Peter Dayan, and John O’Doherty. 2012. “Neural Prediction Errors Reveal a Risk-Sensitive Reinforcement-Learning Process in the Human Brain”. Journal of Neuroscience 32 (2): 551–562. doi:10.1523/JNEUROSCI.5498-10.2012.

McDannald, Michael, Federica Lucantonio, Kathryn Burke, Yael Niv, and Geoffrey Schoenbaum. (2011) 2011. “Ventral Striatum and Orbitofrontal Cortex Are Both Required for Model-Based, But Not Model-Free, Reinforcement Learning”. Journal of Neuroscience 31 (7): 2700–2705. doi:10.1523/JNEUROSCI.5499-10.2011.

Ribas-Fernandes, José, Alec Solway, Carlos Diuk, Joseph McGuire, Andrew Barto, Yael Niv, and Matthew Botvinick. (2011) 2011. “A Neural Signature of Hierarchical Reinforcement Learning.”. Neuron 71 (2): 370–379. doi:10.1016/j.neuron.2011.05.042.