Geoffrey Schoenbaum

First name

Geoffrey

Last name

Schoenbaum

Takahashi, Yuki, Thomas Stalnaker, Lauren E. Mueller, Sevan K. Harootonian, Angela J. Langdon, and Geoffrey Schoenbaum. 2023. “Dopaminergic Prediction Errors in the Ventral Tegmental Area Reflect a Multithreaded Predictive Model”. Referenced from www.nature.com: Dopaminergic prediction errors in the ventral tegmental area reflect a multithreaded predictive model.

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Song, Mingyu, Yuji Takahashi, Amanda Burton, Matthew Roesch, Geoffrey Schoenbaum, Yael Niv, and Angela Langdon. 2022. “Minimal Cross-Trial Generalization in Learning the Representation of an Odor-Guided Choice Task”. PLOS Computational Biology 18 (3). PDF: Minimal cross-trial generalization in learning the representation of an odor-guided choice task.

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Chan, Stephanie C.Y., Nicholas W. Schuck, Nina Lopatina, Geoffrey Schoenbaum, and Yael Niv. 2021. “Orbitofrontal Cortex and Learning Predictions of State Transitions”. Behavioral Neuroscience. PDF: Orbitofrontal cortex and learning predictions of state transitions.

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Sharpe, Melissa J., Hannah M. Batchelor, Lauren E. Mueller, Chun Yun Chang, Etienne J.P. Maes, Yael Niv, and Geoffrey Schoenbaum. (2020) 2020. “Dopamine Transients Do Not Act As Model-Free Prediction Errors During Associative Learning”. Nature Communications 11 (1): 106. doi:10.1038/s41467-019-13953-1.

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Takahashi, Yuji, Matthew Roesch, Robert Wilson, Kathy Toreson, Patricio O’Donnell, Yael Niv, and Geoffrey Schoenbaum. (2011) 2011. “Expectancy-Related Changes in Firing of Dopamine Neurons Depend on Orbitofrontal Cortex”. Nature Neuroscience 14 (12): 1590–1597. doi:10.1038/nn.2957.

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Sharpe, Melissa, Nathan Marchant, Leslie Whitaker, Christopher Richie, Yajun Zhang, Erin Campbell, Pyry Koivula, et al. 2017. “Lateral Hypothalamic GABAergic Neurons Encode Reward Predictions That Are Relayed to the Ventral Tegmental Area to Regulate Learning”. Current Biology 27 (14): 2089––2100.e5. doi:10.1016/j.cub.2017.06.024.

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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.

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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.

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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.

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Schoenbaum, Geoffrey, Thomas Stalnaker, and Yael Niv. 2013. “How Did the Chicken Cross the Road? With Her Striatal Cholinergic Interneurons, Of Course”. Neuron 79 (1): 3–6. doi:10.1016/j.neuron.2013.06.033.

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Lucantonio, Federica, Thomas Stalnaker, Yavin Shaham, Yael Niv, and Geoffrey Schoenbaum. 2012. “The Impact of Orbitofrontal Dysfunction on Cocaine Addiction”. Nature Neuroscience 15 (3): 358–366. doi:10.1038/nn.3014.

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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.

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Wilson, Robert, Yuji Takahashi, Matthew Roesch, Thomas Stalnaker, Geoffrey Schoenbaum, and Yael Niv. 2010. “A Computational Model of the Role of Orbitofrontal Cortex and Ventral Striatum in Signalling Reward Expectancy in Reinforcement Learning.”. In Society for Neuroscience Abstracts. PDF: A Computational Model of the Role of Orbitofrontal Cortex and Ventral Striatum in Signalling Reward Expectancy in Reinforcement Learning.

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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.

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Sharpe, Melissa, Hannah M. Batchelor, Lauren Mueller, Chun Yun Chang, Etienne Maes, Yael Niv, and Geoffrey Schoenbaum. 2019. “Dopamine Transients Delivered in Learning Contexts Do Not Act As Model-Free Prediction Errors”. BioRxiv. doi:10.1101/574541.

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Zhou, Jingfeng, Matthew P. H. Gardner, Thomas Stalnaker, Seth Ramus, Andrew Wikenheiser, Yael Niv, and Geoffrey Schoenbaum. (2019) 2019. “Rat Orbitofrontal Ensemble Activity Contains Multiplexed But Dissociable Representations of Value and Task Structure in an Odor Sequence Task”. Current Biology 29 (6): 897–907.e3. doi:10.1016/j.cub.2019.01.048.

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Langdon, Angela, Melissa Sharpe, Geoffrey Schoenbaum, and Yael Niv. (2018) 2018. “Model-Based Predictions for Dopamine”. Current Opinion in Neurobiology 49: 1–7. doi:10.1016/j.conb.2017.10.006.

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Sharpe, Melissa, Thomas Stalnaker, Nicolas Schuck, Simon Killcross, Geoffrey Schoenbaum, and Yael Niv. 2018. “An Integrated Model of Action Selection: Distinct Modes of Cortical Control of Striatal Decision Making”. Annual Review of Psychology. doi:10.1146/annurev-psych-010418-102824.

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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.

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