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Items: 1 to 20 of 143

1.

Adaptive Value Normalization in the Prefrontal Cortex Is Reduced by Memory Load.

Holper L, Van Brussel LD, Schmidt L, Schulthess S, Burke CJ, Louie K, Seifritz E, Tobler PN.

eNeuro. 2017 Apr 27;4(2). pii: ENEURO.0365-17.2017. doi: 10.1523/ENEURO.0365-17.2017. eCollection 2017 Mar-Apr.

2.

Dissociable neural processes during risky decision-making in individuals with Internet-gaming disorder.

Liu L, Xue G, Potenza MN, Zhang JT, Yao YW, Xia CC, Lan J, Ma SS, Fang XY.

Neuroimage Clin. 2017 Mar 29;14:741-749. doi: 10.1016/j.nicl.2017.03.010. eCollection 2017.

3.

Predicting the knowledge-recklessness distinction in the human brain.

Vilares I, Wesley MJ, Ahn WY, Bonnie RJ, Hoffman M, Jones OD, Morse SJ, Yaffe G, Lohrenz T, Montague PR.

Proc Natl Acad Sci U S A. 2017 Mar 21;114(12):3222-3227. doi: 10.1073/pnas.1619385114. Epub 2017 Mar 13.

4.

Whole-Brain Neural Dynamics of Probabilistic Reward Prediction.

Bach DR, Symmonds M, Barnes G, Dolan RJ.

J Neurosci. 2017 Apr 5;37(14):3789-3798. doi: 10.1523/JNEUROSCI.2943-16.2017. Epub 2017 Mar 7.

5.

Reduced Risk-Taking following Disruption of the Intraparietal Sulcus.

Coutlee CG, Kiyonaga A, Korb FM, Huettel SA, Egner T.

Front Neurosci. 2016 Dec 23;10:588. doi: 10.3389/fnins.2016.00588. eCollection 2016.

6.

Frontal, Striatal, and Medial Temporal Sensitivity to Value Distinguishes Risk-Taking from Risk-Aversive Older Adults during Decision Making.

Goh JO, Su YS, Tang YJ, McCarrey AC, Tereshchenko A, Elkins W, Resnick SM.

J Neurosci. 2016 Dec 7;36(49):12498-12509.

7.

Effects of outcome on the covariance between risk level and brain activity in adolescents with internet gaming disorder.

Qi X, Yang Y, Dai S, Gao P, Du X, Zhang Y, Du G, Li X, Zhang Q.

Neuroimage Clin. 2016 Nov 2;12:845-851. eCollection 2016.

8.

A Probability Distribution over Latent Causes, in the Orbitofrontal Cortex.

Chan SC, Niv Y, Norman KA.

J Neurosci. 2016 Jul 27;36(30):7817-28. doi: 10.1523/JNEUROSCI.0659-16.2016.

9.

The modulation of savouring by prediction error and its effects on choice.

Iigaya K, Story GW, Kurth-Nelson Z, Dolan RJ, Dayan P.

Elife. 2016 Apr 21;5. pii: e13747. doi: 10.7554/eLife.13747.

10.

Differential coding of uncertain reward in rat insular and orbitofrontal cortex.

Jo S, Jung MW.

Sci Rep. 2016 Apr 7;6:24085. doi: 10.1038/srep24085.

11.

Annual Research Review: Transdiagnostic neuroscience of child and adolescent mental disorders--differentiating decision making in attention-deficit/hyperactivity disorder, conduct disorder, depression, and anxiety.

Sonuga-Barke EJ, Cortese S, Fairchild G, Stringaris A.

J Child Psychol Psychiatry. 2016 Mar;57(3):321-49. doi: 10.1111/jcpp.12496. Epub 2015 Dec 26. Review.

12.

Categorical evidence, confidence, and urgency during probabilistic categorization.

Braunlich K, Seger CA.

Neuroimage. 2016 Jan 15;125:941-952. doi: 10.1016/j.neuroimage.2015.11.011. Epub 2015 Nov 10.

13.

Gambling on visual performance: neural correlates of metacognitive choice between visual lotteries.

Wu SW, Delgado MR, Maloney LT.

Front Neurosci. 2015 Sep 3;9:314. doi: 10.3389/fnins.2015.00314. eCollection 2015.

14.

Neuronal Reward and Decision Signals: From Theories to Data.

Schultz W.

Physiol Rev. 2015 Jul;95(3):853-951. doi: 10.1152/physrev.00023.2014. Review.

15.

Human and machine learning in non-Markovian decision making.

Clarke AM, Friedrich J, Tartaglia EM, Marchesotti S, Senn W, Herzog MH.

PLoS One. 2015 Apr 21;10(4):e0123105. doi: 10.1371/journal.pone.0123105. eCollection 2015.

16.

Regional gray matter density associated with cognitive reflectivity-impulsivity: evidence from voxel-based morphometry.

Yokoyama R, Nozawa T, Takeuchi H, Taki Y, Sekiguchi A, Nouchi R, Kotozaki Y, Nakagawa S, Miyauchi CM, Iizuka K, Shinada T, Yamamoto Y, Hanawa S, Araki T, Hashizume H, Kunitoki K, Hanihara M, Sassa Y, Kawashima R.

PLoS One. 2015 Mar 24;10(3):e0122666. doi: 10.1371/journal.pone.0122666. eCollection 2015.

17.

Nicotine withdrawal.

McLaughlin I, Dani JA, De Biasi M.

Curr Top Behav Neurosci. 2015;24:99-123. doi: 10.1007/978-3-319-13482-6_4. Review.

18.

Treating tobacco use disorder in pregnant women in medication-assisted treatment for an opioid use disorder: a systematic review.

Akerman SC, Brunette MF, Green AI, Goodman DJ, Blunt HB, Heil SH.

J Subst Abuse Treat. 2015 May;52:40-7. doi: 10.1016/j.jsat.2014.12.002. Epub 2014 Dec 22. Review.

19.

Individual differences in response to positive and negative stimuli: endocannabinoid-based insight on approach and avoidance behaviors.

Laricchiuta D, Petrosini L.

Front Syst Neurosci. 2014 Dec 22;8:238. doi: 10.3389/fnsys.2014.00238. eCollection 2014. Review.

20.

Mesolimbic dopamine dynamically tracks, and is causally linked to, discrete aspects of value-based decision making.

Saddoris MP, Sugam JA, Stuber GD, Witten IB, Deisseroth K, Carelli RM.

Biol Psychiatry. 2015 May 15;77(10):903-911. doi: 10.1016/j.biopsych.2014.10.024. Epub 2014 Nov 13.

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