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Items: 1 to 20 of 109

1.

The effect of novelty on reinforcement learning.

Houillon A, Lorenz RC, Boehmer W, Rapp MA, Heinz A, Gallinat J, Obermayer K.

Prog Brain Res. 2013;202:415-39. doi: 10.1016/B978-0-444-62604-2.00021-6.

PMID:
23317843
2.

Novelty and Inductive Generalization in Human Reinforcement Learning.

Gershman SJ, Niv Y.

Top Cogn Sci. 2015 Jul;7(3):391-415. doi: 10.1111/tops.12138. Epub 2015 Mar 23.

3.

Dopamine modulates novelty seeking behavior during decision making.

Costa VD, Tran VL, Turchi J, Averbeck BB.

Behav Neurosci. 2014 Oct;128(5):556-66. doi: 10.1037/a0037128. Epub 2014 Jun 9.

PMID:
24911320
4.

Neurocomputational mechanisms of reinforcement-guided learning in humans: a review.

Cohen MX.

Cogn Affect Behav Neurosci. 2008 Jun;8(2):113-25. Review.

PMID:
18589502
5.

The novelty exploration bonus and its attentional modulation.

Krebs RM, Schott BH, Schütze H, Düzel E.

Neuropsychologia. 2009 Sep;47(11):2272-81. doi: 10.1016/j.neuropsychologia.2009.01.015. Epub 2009 Jan 19.

PMID:
19524091
6.

Neural basis of reinforcement learning and decision making.

Lee D, Seo H, Jung MW.

Annu Rev Neurosci. 2012;35:287-308. doi: 10.1146/annurev-neuro-062111-150512. Epub 2012 Mar 29. Review.

7.
8.

The influence of depression symptoms on exploratory decision-making.

Blanco NJ, Otto AR, Maddox WT, Beevers CG, Love BC.

Cognition. 2013 Dec;129(3):563-8. doi: 10.1016/j.cognition.2013.08.018. Epub 2013 Sep 17.

9.

Altered probabilistic learning and response biases in schizophrenia: behavioral evidence and neurocomputational modeling.

Waltz JA, Frank MJ, Wiecki TV, Gold JM.

Neuropsychology. 2011 Jan;25(1):86-97. doi: 10.1037/a0020882.

10.

Dopamine Regulates Approach-Avoidance in Human Sensation-Seeking.

Norbury A, Kurth-Nelson Z, Winston JS, Roiser JP, Husain M.

Int J Neuropsychopharmacol. 2015 Apr 9;18(10):pyv041. doi: 10.1093/ijnp/pyv041.

11.

Frontal theta overrides pavlovian learning biases.

Cavanagh JF, Eisenberg I, Guitart-Masip M, Huys Q, Frank MJ.

J Neurosci. 2013 May 8;33(19):8541-8. doi: 10.1523/JNEUROSCI.5754-12.2013.

12.

Reinforcement learning and decision making in monkeys during a competitive game.

Lee D, Conroy ML, McGreevy BP, Barraclough DJ.

Brain Res Cogn Brain Res. 2004 Dec;22(1):45-58.

PMID:
15561500
13.

The actor-critic learning is behind the matching law: matching versus optimal behaviors.

Sakai Y, Fukai T.

Neural Comput. 2008 Jan;20(1):227-51.

PMID:
18045007
14.

Modeling the violation of reward maximization and invariance in reinforcement schedules.

La Camera G, Richmond BJ.

PLoS Comput Biol. 2008 Aug 8;4(8):e1000131. doi: 10.1371/journal.pcbi.1000131.

15.

Speed/accuracy trade-off between the habitual and the goal-directed processes.

Keramati M, Dezfouli A, Piray P.

PLoS Comput Biol. 2011 May;7(5):e1002055. doi: 10.1371/journal.pcbi.1002055. Epub 2011 May 26.

16.

Behavioral and neural predictors of upcoming decisions.

Cohen MX, Ranganath C.

Cogn Affect Behav Neurosci. 2005 Jun;5(2):117-26.

PMID:
16180619
17.

Model-based reinforcement learning under concurrent schedules of reinforcement in rodents.

Huh N, Jo S, Kim H, Sul JH, Jung MW.

Learn Mem. 2009 Apr 29;16(5):315-23. doi: 10.1101/lm.1295509. Print 2009 May.

18.

Adaptive learning via selectionism and Bayesianism, Part II: the sequential case.

Zhang J.

Neural Netw. 2009 Apr;22(3):229-36. doi: 10.1016/j.neunet.2009.03.017. Epub 2009 Apr 5.

PMID:
19395235
19.

Decision theory, reinforcement learning, and the brain.

Dayan P, Daw ND.

Cogn Affect Behav Neurosci. 2008 Dec;8(4):429-53. doi: 10.3758/CABN.8.4.429. Review.

PMID:
19033240
20.

Constraints on decision making: implications from genetics, personality, and addiction.

Baker TE, Stockwell T, Holroyd CB.

Cogn Affect Behav Neurosci. 2013 Sep;13(3):417-36. doi: 10.3758/s13415-013-0164-8.

PMID:
23658007
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