Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 137

1.

[The model of the reward choice basing on the theory of reinforcement learning].

Smirnitskaia IA, Frolov AA, Merzhanova GKh.

Zh Vyssh Nerv Deiat Im I P Pavlova. 2007 Mar-Apr;57(2):133-43. Russian.

PMID:
17596009
2.

A model of reward choice based on the theory of reinforcement learning.

Smirnitskaya IA, Frolov AA, Merzhanova GKh.

Neurosci Behav Physiol. 2008 Mar;38(3):269-78. doi: 10.1007/s11055-008-0039-6.

PMID:
18264774
3.
4.

[Haloperidol does not alter a choice strategy for reinforcement value in cats].

Kuleshova EP, Merghanova GKh, Kulikov MA, Grigor'ian GA.

Zh Vyssh Nerv Deiat Im I P Pavlova. 2006 May-Jun;56(3):392-400. Russian.

PMID:
16869275
5.

Reinforcement learning for discounted values often loses the goal in the application to animal learning.

Yamaguchi Y, Sakai Y.

Neural Netw. 2012 Nov;35:88-91. doi: 10.1016/j.neunet.2012.08.004. Epub 2012 Aug 24.

6.

[Interneuronal relationships in the basolateral amygdala of cats trained for choice in the quality of food reinforcement].

Merzhanova GKh, Dolbakian EE, Partev AZ.

Zh Vyssh Nerv Deiat Im I P Pavlova. 1997 May-Jun;47(3):500-6. Russian.

PMID:
9273789
7.

Deficient reinforcement learning in medial frontal cortex as a model of dopamine-related motivational deficits in ADHD.

Silvetti M, Wiersema JR, Sonuga-Barke E, Verguts T.

Neural Netw. 2013 Oct;46:199-209. doi: 10.1016/j.neunet.2013.05.008. Epub 2013 May 21.

PMID:
23811383
8.

Neuroscience. Addiction as compulsive reward prediction.

Ahmed SH.

Science. 2004 Dec 10;306(5703):1901-2. No abstract available.

PMID:
15591193
9.

Dopamine-dependent reinforcement of motor skill learning: evidence from Gilles de la Tourette syndrome.

Palminteri S, Lebreton M, Worbe Y, Hartmann A, Lehéricy S, Vidailhet M, Grabli D, Pessiglione M.

Brain. 2011 Aug;134(Pt 8):2287-301. doi: 10.1093/brain/awr147. Epub 2011 Jul 3.

PMID:
21727098
10.

[Reinforcement learning by striatum].

Kunisato Y, Okada G, Okamoto Y.

Brain Nerve. 2009 Apr;61(4):405-11. Review. Japanese.

PMID:
19378810
11.

Reward-dependent learning in neuronal networks for planning and decision making.

Dehaene S, Changeux JP.

Prog Brain Res. 2000;126:217-29. Review.

PMID:
11105649
12.

Modeling functions of striatal dopamine modulation in learning and planning.

Suri RE, Bargas J, Arbib MA.

Neuroscience. 2001;103(1):65-85.

PMID:
11311788
13.

Dopaminergic control of motivation and reinforcement learning: a closed-circuit account for reward-oriented behavior.

Morita K, Morishima M, Sakai K, Kawaguchi Y.

J Neurosci. 2013 May 15;33(20):8866-90. doi: 10.1523/JNEUROSCI.4614-12.2013.

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.

Dopamine-mediated reinforcement learning signals in the striatum and ventromedial prefrontal cortex underlie value-based choices.

Jocham G, Klein TA, Ullsperger M.

J Neurosci. 2011 Feb 2;31(5):1606-13. doi: 10.1523/JNEUROSCI.3904-10.2011.

17.

Beyond simple reinforcement learning: the computational neurobiology of reward-learning and valuation.

O'Doherty JP.

Eur J Neurosci. 2012 Apr;35(7):987-90. doi: 10.1111/j.1460-9568.2012.08074.x.

PMID:
22487029
18.

A neurocomputational model for cocaine addiction.

Dezfouli A, Piray P, Keramati MM, Ekhtiari H, Lucas C, Mokri A.

Neural Comput. 2009 Oct;21(10):2869-93. doi: 10.1162/neco.2009.10-08-882.

PMID:
19635010
19.

Human dorsal striatal activity during choice discriminates reinforcement learning behavior from the gambler's fallacy.

Jessup RK, O'Doherty JP.

J Neurosci. 2011 Apr 27;31(17):6296-304. doi: 10.1523/JNEUROSCI.6421-10.2011.

20.

Addiction as a computational process gone awry.

Redish AD.

Science. 2004 Dec 10;306(5703):1944-7.

Supplemental Content

Support Center