Samuel Gershman

First name

Samuel

Last name

Gershman

Gershman, Samuel, Carolyn Jones, Kenneth Norman, Marie-H. Monfils, and Yael Niv. 2013. “Gradual Extinction Prevents the Return of Fear: Implications for the Discovery of State.”. Front Behav Neurosci 7: 164. doi:10.3389/fnbeh.2013.00164.

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Gershman, Samuel, and Yael Niv. 2013. “Perceptual Estimation Obeys Occam’s Razor”. Frontiers in Psychology 4 (SEP): 623. doi:10.3389/fpsyg.2013.00623.

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Gershman, Samuel, and Yael Niv. (2012) 2012. “Exploring a Latent Cause Theory of Classical Conditioning.”. Learn Behav 40 (3): 255–268. doi:10.3758/s13420-012-0080-8.

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Niv, Yael, and Samuel Gershman. 2010. “Representation Learning and Reinforcement Learning : An FMRI Study of Learning to Selectively Attend”. In Society for Neuroscience Abstracts.

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Gershman, Samuel, Jonathan Cohen, and Yael Niv. 2010. “Learning to Selectively Attend”. In 32nd Annual Conference of the Cognitive Science Society. PDF: Learning to selectively attend.

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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.

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Gershman, Samuel, David Blei, and Yael Niv. (2010) 2010. “Context, Learning, and Extinction”. Psychological Review 117 (1): 197–209. doi:10.1037/a0017808.

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Gershman, Samuel, Marie-H. Monfils, Kenneth Norman, and Yael Niv. 2017. “The Computational Nature of Memory Modification”. ELife 6. doi:10.7554/eLife.23763.

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Gershman, Samuel, and Yael Niv. (2015) 2015. “Novelty and Inductive Generalization in Human Reinforcement Learning”. Topics in Cognitive Science 7 (3): 391–415. doi:10.1111/tops.12138.

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Gershman, Samuel, Kenneth Norman, and Yael Niv. 2015. “Discovering Latent Causes in Reinforcement Learning”. Current Opinion in Behavioral Sciences 5: 43–50. doi:10.1016/j.cobeha.2015.07.007.

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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.

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Gershman, Samuel, Angela Radulescu, Kenneth Norman, and Yael Niv. (2014) 2014. “Statistical Computations Underlying the Dynamics of Memory Updating”. PLoS Computational Biology 10 (11): e1003939. doi:10.1371/journal.pcbi.1003939.

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Soto, Fabian, Samuel Gershman, and Yael Niv. (2014) 2014. “Explaining Compound Generalization in Associative and Causal Learning through Rational Principles of Dimensional Generalization”. Psychological Review 121 (3): 526–558. doi:10.1037/a0037018.

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