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Items: 1 to 50 of 82

1.

Structured, uncertainty-driven exploration in real-world consumer choice.

Schulz E, Bhui R, Love BC, Brier B, Todd MT, Gershman SJ.

Proc Natl Acad Sci U S A. 2019 Jul 9;116(28):13903-13908. doi: 10.1073/pnas.1821028116. Epub 2019 Jun 24.

PMID:
31235598
2.

Adapting the flow of time with dopamine.

Mikhael JG, Gershman SJ.

J Neurophysiol. 2019 May 1;121(5):1748-1760. doi: 10.1152/jn.00817.2018. Epub 2019 Mar 13.

PMID:
30864882
3.

Model-free and model-based learning processes in the updating of explicit and implicit evaluations.

Kurdi B, Gershman SJ, Banaji MR.

Proc Natl Acad Sci U S A. 2019 Mar 26;116(13):6035-6044. doi: 10.1073/pnas.1820238116. Epub 2019 Mar 12.

4.

Estimating Scale-Invariant Future in Continuous Time.

Tiganj Z, Gershman SJ, Sederberg PB, Howard MW.

Neural Comput. 2019 Apr;31(4):681-709. doi: 10.1162/neco_a_01171. Epub 2019 Feb 14.

PMID:
30764739
5.

Causal Inference About Good and Bad Outcomes.

Dorfman HM, Bhui R, Hughes BL, Gershman SJ.

Psychol Sci. 2019 Apr;30(4):516-525. doi: 10.1177/0956797619828724. Epub 2019 Feb 13.

PMID:
30759048
6.

The transdiagnostic structure of mental effort avoidance.

Patzelt EH, Kool W, Millner AJ, Gershman SJ.

Sci Rep. 2019 Feb 8;9(1):1689. doi: 10.1038/s41598-018-37802-1.

7.

Suicidal thoughts and behaviors are associated with an increased decision-making bias for active responses to escape aversive states.

Millner AJ, den Ouden HEM, Gershman SJ, Glenn CR, Kearns JC, Bornstein AM, Marx BP, Keane TM, Nock MK.

J Abnorm Psychol. 2019 Feb;128(2):106-118. doi: 10.1037/abn0000395. Epub 2018 Dec 27.

PMID:
30589305
8.

The algorithmic architecture of exploration in the human brain.

Schulz E, Gershman SJ.

Curr Opin Neurobiol. 2019 Apr;55:7-14. doi: 10.1016/j.conb.2018.11.003. Epub 2018 Dec 6. Review.

PMID:
30529148
9.

Rethinking dopamine as generalized prediction error.

Gardner MPH, Schoenbaum G, Gershman SJ.

Proc Biol Sci. 2018 Nov 21;285(1891). pii: 20181645. doi: 10.1098/rspb.2018.1645.

PMID:
30464063
10.

Decision by sampling implements efficient coding of psychoeconomic functions.

Bhui R, Gershman SJ.

Psychol Rev. 2018 Nov;125(6):985-1001. doi: 10.1037/rev0000123.

PMID:
30431303
11.

Dopaminergic genes are associated with both directed and random exploration.

Gershman SJ, Tzovaras BG.

Neuropsychologia. 2018 Nov;120:97-104. doi: 10.1016/j.neuropsychologia.2018.10.009. Epub 2018 Oct 19.

PMID:
30347192
12.

Integrating Models of Interval Timing and Reinforcement Learning.

Petter EA, Gershman SJ, Meck WH.

Trends Cogn Sci. 2018 Oct;22(10):911-922. doi: 10.1016/j.tics.2018.08.004. Review.

PMID:
30266150
13.

Discovering social groups via latent structure learning.

Lau T, Pouncy HT, Gershman SJ, Cikara M.

J Exp Psychol Gen. 2018 Dec;147(12):1881-1891. doi: 10.1037/xge0000470. Epub 2018 Sep 27.

PMID:
30265025
14.

Incentives Boost Model-Based Control Across a Range of Severity on Several Psychiatric Constructs.

Patzelt EH, Kool W, Millner AJ, Gershman SJ.

Biol Psychiatry. 2019 Mar 1;85(5):425-433. doi: 10.1016/j.biopsych.2018.06.018. Epub 2018 Jul 2.

PMID:
30077331
15.

The Successor Representation: Its Computational Logic and Neural Substrates.

Gershman SJ.

J Neurosci. 2018 Aug 15;38(33):7193-7200. doi: 10.1523/JNEUROSCI.0151-18.2018. Epub 2018 Jul 13.

16.

Neural Computations Underlying Causal Structure Learning.

Tomov MS, Dorfman HM, Gershman SJ.

J Neurosci. 2018 Aug 8;38(32):7143-7157. doi: 10.1523/JNEUROSCI.3336-17.2018. Epub 2018 Jun 29.

17.

How to never be wrong.

Gershman SJ.

Psychon Bull Rev. 2019 Feb;26(1):13-28. doi: 10.3758/s13423-018-1488-8. Review.

PMID:
29799092
18.

Remembrance of inferences past: Amortization in human hypothesis generation.

Dasgupta I, Schulz E, Goodman ND, Gershman SJ.

Cognition. 2018 Sep;178:67-81. doi: 10.1016/j.cognition.2018.04.017. Epub 2018 May 21.

PMID:
29793110
19.

Belief state representation in the dopamine system.

Babayan BM, Uchida N, Gershman SJ.

Nat Commun. 2018 May 14;9(1):1891. doi: 10.1038/s41467-018-04397-0.

20.

Author Correction: The hippocampus as a predictive map.

Stachenfeld KL, Botvinick MM, Gershman SJ.

Nat Neurosci. 2018 Jun;21(6):895. doi: 10.1038/s41593-018-0133-1.

PMID:
29695823
21.

Planning Complexity Registers as a Cost in Metacontrol.

Kool W, Gershman SJ, Cushman FA.

J Cogn Neurosci. 2018 Oct;30(10):1391-1404. doi: 10.1162/jocn_a_01263. Epub 2018 Apr 18.

PMID:
29668390
22.

The Medial Prefrontal Cortex Shapes Dopamine Reward Prediction Errors under State Uncertainty.

Starkweather CK, Gershman SJ, Uchida N.

Neuron. 2018 May 2;98(3):616-629.e6. doi: 10.1016/j.neuron.2018.03.036. Epub 2018 Apr 12.

23.

Toward a universal decoder of linguistic meaning from brain activation.

Pereira F, Lou B, Pritchett B, Ritter S, Gershman SJ, Kanwisher N, Botvinick M, Fedorenko E.

Nat Commun. 2018 Mar 6;9(1):963. doi: 10.1038/s41467-018-03068-4.

24.

Ingredients of intelligence: From classic debates to an engineering roadmap.

Lake BM, Ullman TD, Tenenbaum JB, Gershman SJ.

Behav Brain Sci. 2017 Jan;40:e281. doi: 10.1017/S0140525X17001224.

PMID:
29342708
25.

Deconstructing the human algorithms for exploration.

Gershman SJ.

Cognition. 2018 Apr;173:34-42. doi: 10.1016/j.cognition.2017.12.014. Epub 2017 Dec 29.

26.

Bayesian belief updating after a replication experiment.

Holcombe AO, Gershman SJ.

Behav Brain Sci. 2018 Jan;41:e134. doi: 10.1017/S0140525X18000699.

PMID:
31064577
27.

Pavlovian Control of Escape and Avoidance.

Millner AJ, Gershman SJ, Nock MK, den Ouden HEM.

J Cogn Neurosci. 2018 Oct;30(10):1379-1390. doi: 10.1162/jocn_a_01224. Epub 2017 Dec 15.

PMID:
29244641
28.

Pure correlates of exploration and exploitation in the human brain.

Blanchard TC, Gershman SJ.

Cogn Affect Behav Neurosci. 2018 Feb;18(1):117-126. doi: 10.3758/s13415-017-0556-2.

29.

Compositional inductive biases in function learning.

Schulz E, Tenenbaum JB, Duvenaud D, Speekenbrink M, Gershman SJ.

Cogn Psychol. 2017 Dec;99:44-79. doi: 10.1016/j.cogpsych.2017.11.002. Epub 2017 Nov 16.

PMID:
29154187
30.

The hippocampus as a predictive map.

Stachenfeld KL, Botvinick MM, Gershman SJ.

Nat Neurosci. 2017 Nov;20(11):1643-1653. doi: 10.1038/nn.4650. Epub 2017 Oct 2. Erratum in: Nat Neurosci. 2018 Apr 25;:.

PMID:
28967910
31.

Dopamine, Inference, and Uncertainty.

Gershman SJ.

Neural Comput. 2017 Dec;29(12):3311-3326. doi: 10.1162/neco_a_01023. Epub 2017 Sep 28.

PMID:
28957023
32.

Predictive representations can link model-based reinforcement learning to model-free mechanisms.

Russek EM, Momennejad I, Botvinick MM, Gershman SJ, Daw ND.

PLoS Comput Biol. 2017 Sep 25;13(9):e1005768. doi: 10.1371/journal.pcbi.1005768. eCollection 2017 Sep.

33.

Predicting the Past, Remembering the Future.

Gershman SJ.

Curr Opin Behav Sci. 2017 Oct;17:7-13. doi: 10.1016/j.cobeha.2017.05.025. Epub 2017 Jun 9.

34.

The successor representation in human reinforcement learning.

Momennejad I, Russek EM, Cheong JH, Botvinick MM, Daw ND, Gershman SJ.

Nat Hum Behav. 2017 Sep;1(9):680-692. doi: 10.1038/s41562-017-0180-8. Epub 2017 Aug 28.

PMID:
31024137
35.

Using computational theory to constrain statistical models of neural data.

Linderman SW, Gershman SJ.

Curr Opin Neurobiol. 2017 Oct;46:14-24. doi: 10.1016/j.conb.2017.06.004. Epub 2017 Jul 18. Review.

36.

Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems.

Kool W, Gershman SJ, Cushman FA.

Psychol Sci. 2017 Sep;28(9):1321-1333. doi: 10.1177/0956797617708288. Epub 2017 Jul 21.

PMID:
28731839
37.

Imaginative Reinforcement Learning: Computational Principles and Neural Mechanisms.

Gershman SJ, Zhou J, Kommers C.

J Cogn Neurosci. 2017 Dec;29(12):2103-2113. doi: 10.1162/jocn_a_01170. Epub 2017 Jul 14.

PMID:
28707569
38.

Where do hypotheses come from?

Dasgupta I, Schulz E, Gershman SJ.

Cogn Psychol. 2017 Aug;96:1-25. doi: 10.1016/j.cogpsych.2017.05.001. Epub 2017 Jun 3.

PMID:
28586634
39.

Correction: The computational nature of memory modification.

Gershman SJ, Monfils MH, Norman KA, Niv Y.

Elife. 2017 May 22;6. pii: e28693. doi: 10.7554/eLife.28693. No abstract available.

40.

The computational nature of memory modification.

Gershman SJ, Monfils MH, Norman KA, Niv Y.

Elife. 2017 Mar 15;6. pii: e23763. doi: 10.7554/eLife.23763. Erratum in: Elife. 2017 May 22;6:.

41.

Learning the Structure of Social Influence.

Gershman SJ, Pouncy HT, Gweon H.

Cogn Sci. 2017 Apr;41 Suppl 3:545-575. doi: 10.1111/cogs.12480. Epub 2017 Mar 13.

PMID:
28294384
42.

Dopamine reward prediction errors reflect hidden-state inference across time.

Starkweather CK, Babayan BM, Uchida N, Gershman SJ.

Nat Neurosci. 2017 Apr;20(4):581-589. doi: 10.1038/nn.4520. Epub 2017 Mar 6.

43.

Medial Prefrontal Cortex Updates Its Status.

Cikara M, Gershman SJ.

Neuron. 2016 Dec 7;92(5):937-939. doi: 10.1016/j.neuron.2016.11.040.

44.

Building machines that learn and think like people.

Lake BM, Ullman TD, Tenenbaum JB, Gershman SJ.

Behav Brain Sci. 2017 Jan;40:e253. doi: 10.1017/S0140525X16001837. Epub 2016 Nov 24.

PMID:
27881212
45.

Reinforcement Learning and Episodic Memory in Humans and Animals: An Integrative Framework.

Gershman SJ, Daw ND.

Annu Rev Psychol. 2017 Jan 3;68:101-128. doi: 10.1146/annurev-psych-122414-033625. Epub 2016 Sep 2. Review.

46.

Plans, Habits, and Theory of Mind.

Gershman SJ, Gerstenberg T, Baker CL, Cushman FA.

PLoS One. 2016 Sep 1;11(9):e0162246. doi: 10.1371/journal.pone.0162246. eCollection 2016.

47.

When Does Model-Based Control Pay Off?

Kool W, Cushman FA, Gershman SJ.

PLoS Comput Biol. 2016 Aug 26;12(8):e1005090. doi: 10.1371/journal.pcbi.1005090. eCollection 2016 Aug.

48.

Context-dependent learning and causal structure.

Gershman SJ.

Psychon Bull Rev. 2017 Apr;24(2):557-565. doi: 10.3758/s13423-016-1110-x.

PMID:
27418259
49.

On the blessing of abstraction.

Gershman SJ.

Q J Exp Psychol (Hove). 2017 Mar;70(3):361-365. Epub 2016 Mar 10.

PMID:
26930189
50.

Toward the neural implementation of structure learning.

Tervo DGR, Tenenbaum JB, Gershman SJ.

Curr Opin Neurobiol. 2016 Apr;37:99-105. doi: 10.1016/j.conb.2016.01.014. Epub 2016 Feb 11. Review.

PMID:
26874471

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