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Items: 1 to 50 of 60

1.

Selective Effects of the Loss of NMDA or mGluR5 Receptors in the Reward System on Adaptive Decision-Making.

Cieślak PE, Ahn WY, Bogacz R, Rodriguez Parkitna J.

eNeuro. 2018 Oct 5;5(4). pii: ENEURO.0331-18.2018. doi: 10.1523/ENEURO.0331-18.2018. eCollection 2018 Jul-Aug.

2.

Dendritic Integration of Sensory Evidence in Perceptual Decision-Making.

Groschner LN, Chan Wah Hak L, Bogacz R, DasGupta S, Miesenböck G.

Cell. 2018 May 3;173(4):894-905.e13. doi: 10.1016/j.cell.2018.03.075. Epub 2018 Apr 26.

3.

Mechanisms Underlying Decision-Making as Revealed by Deep-Brain Stimulation in Patients with Parkinson's Disease.

Herz DM, Little S, Pedrosa DJ, Tinkhauser G, Cheeran B, Foltynie T, Bogacz R, Brown P.

Curr Biol. 2018 Apr 23;28(8):1169-1178.e6. doi: 10.1016/j.cub.2018.02.057. Epub 2018 Mar 29.

4.

Deep Brain Stimulation of the Subthalamic Nucleus Does Not Affect the Decrease of Decision Threshold during the Choice Process When There Is No Conflict, Time Pressure, or Reward.

Leimbach F, Georgiev D, Litvak V, Antoniades C, Limousin P, Jahanshahi M, Bogacz R.

J Cogn Neurosci. 2018 Jun;30(6):876-884. doi: 10.1162/jocn_a_01252. Epub 2018 Feb 28.

5.

Time-varying decision boundaries: insights from optimality analysis.

Malhotra G, Leslie DS, Ludwig CJH, Bogacz R.

Psychon Bull Rev. 2018 Jun;25(3):971-996. doi: 10.3758/s13423-017-1340-6.

6.

Effects of dopamine on reinforcement learning and consolidation in Parkinson's disease.

Grogan JP, Tsivos D, Smith L, Knight BE, Bogacz R, Whone A, Coulthard EJ.

Elife. 2017 Jul 10;6. pii: e26801. doi: 10.7554/eLife.26801.

7.

Overcoming indecision by changing the decision boundary.

Malhotra G, Leslie DS, Ludwig CJH, Bogacz R.

J Exp Psychol Gen. 2017 Jun;146(6):776-805. doi: 10.1037/xge0000286. Epub 2017 Apr 13.

8.

An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity.

Whittington JCR, Bogacz R.

Neural Comput. 2017 May;29(5):1229-1262. doi: 10.1162/NECO_a_00949. Epub 2017 Mar 23.

9.

A tutorial on the free-energy framework for modelling perception and learning.

Bogacz R.

J Math Psychol. 2017 Feb;76(Pt B):198-211. doi: 10.1016/j.jmp.2015.11.003.

10.

The Cognitive Role of the Globus Pallidus interna; Insights from Disease States.

Gillies MJ, Hyam JA, Weiss AR, Antoniades CA, Bogacz R, Fitzgerald JJ, Aziz TZ, Whittington MA, Green AL.

Exp Brain Res. 2017 May;235(5):1455-1465. doi: 10.1007/s00221-017-4905-8. Epub 2017 Feb 28.

11.

Distinct mechanisms mediate speed-accuracy adjustments in cortico-subthalamic networks.

Herz DM, Tan H, Brittain JS, Fischer P, Cheeran B, Green AL, FitzGerald J, Aziz TZ, Ashkan K, Little S, Foltynie T, Limousin P, Zrinzo L, Bogacz R, Brown P.

Elife. 2017 Jan 31;6. pii: e21481. doi: 10.7554/eLife.21481.

12.

Neural Circuits Trained with Standard Reinforcement Learning Can Accumulate Probabilistic Information during Decision Making.

Kurzawa N, Summerfield C, Bogacz R.

Neural Comput. 2017 Feb;29(2):368-393. doi: 10.1162/NECO_a_00917. Epub 2016 Nov 21.

13.

Learning Reward Uncertainty in the Basal Ganglia.

Mikhael JG, Bogacz R.

PLoS Comput Biol. 2016 Sep 2;12(9):e1005062. doi: 10.1371/journal.pcbi.1005062. eCollection 2016 Sep.

14.

Neuroscience: Impaired Decision-Making in Parkinson's Disease.

Herz DM, Bogacz R, Brown P.

Curr Biol. 2016 Jul 25;26(14):R671-3. doi: 10.1016/j.cub.2016.05.075.

15.

Properties of Neurons in External Globus Pallidus Can Support Optimal Action Selection.

Bogacz R, Martin Moraud E, Abdi A, Magill PJ, Baufreton J.

PLoS Comput Biol. 2016 Jul 7;12(7):e1005004. doi: 10.1371/journal.pcbi.1005004. eCollection 2016 Jul.

16.

Neural Correlates of Decision Thresholds in the Human Subthalamic Nucleus.

Herz DM, Zavala BA, Bogacz R, Brown P.

Curr Biol. 2016 Apr 4;26(7):916-20. doi: 10.1016/j.cub.2016.01.051. Epub 2016 Mar 17.

17.

Computational Models Describing Possible Mechanisms for Generation of Excessive Beta Oscillations in Parkinson's Disease.

Pavlides A, Hogan SJ, Bogacz R.

PLoS Comput Biol. 2015 Dec 18;11(12):e1004609. doi: 10.1371/journal.pcbi.1004609. eCollection 2015 Dec.

18.

Action initiation shapes mesolimbic dopamine encoding of future rewards.

Syed EC, Grima LL, Magill PJ, Bogacz R, Brown P, Walton ME.

Nat Neurosci. 2016 Jan;19(1):34-6. doi: 10.1038/nn.4187. Epub 2015 Dec 7.

19.

The subthalamic nucleus during decision-making with multiple alternatives.

Keuken MC, Van Maanen L, Bogacz R, Schäfer A, Neumann J, Turner R, Forstmann BU.

Hum Brain Mapp. 2015 Oct;36(10):4041-4052. doi: 10.1002/hbm.22896. Epub 2015 Jul 15.

20.

Dopamine and Consolidation of Episodic Memory: Timing is Everything.

Grogan J, Bogacz R, Tsivos D, Whone A, Coulthard E.

J Cogn Neurosci. 2015 Oct;27(10):2035-50. doi: 10.1162/jocn_a_00840. Epub 2015 Jun 23.

21.

Distinct developmental origins manifest in the specialized encoding of movement by adult neurons of the external globus pallidus.

Dodson PD, Larvin JT, Duffell JM, Garas FN, Doig NM, Kessaris N, Duguid IC, Bogacz R, Butt SJ, Magill PJ.

Neuron. 2015 Apr 22;86(2):501-13. doi: 10.1016/j.neuron.2015.03.007. Epub 2015 Apr 2.

22.

A canonical circuit for generating phase-amplitude coupling.

Onslow AC, Jones MW, Bogacz R.

PLoS One. 2014 Aug 19;9(8):e102591. doi: 10.1371/journal.pone.0102591. eCollection 2014.

23.

Deep brain stimulation abolishes slowing of reactions to unlikely stimuli.

Antoniades CA, Bogacz R, Kennard C, FitzGerald JJ, Aziz T, Green AL.

J Neurosci. 2014 Aug 13;34(33):10844-52. doi: 10.1523/JNEUROSCI.1065-14.2014.

24.

Computational modeling and analysis of hippocampal-prefrontal information coding during a spatial decision-making task.

Jahans-Price T, Gorochowski TE, Wilson MA, Jones MW, Bogacz R.

Front Behav Neurosci. 2014 Mar 3;8:62. doi: 10.3389/fnbeh.2014.00062. eCollection 2014.

25.

Effective connectivity of the subthalamic nucleus-globus pallidus network during Parkinsonian oscillations.

Nevado-Holgado AJ, Mallet N, Magill PJ, Bogacz R.

J Physiol. 2014 Apr 1;592(7):1429-55. doi: 10.1113/jphysiol.2013.259721. Epub 2013 Dec 16.

26.

Adaptive sampling of information in perceptual decision-making.

Cassey TC, Evens DR, Bogacz R, Marshall JA, Ludwig CJ.

PLoS One. 2013 Nov 27;8(11):e78993. doi: 10.1371/journal.pone.0078993. eCollection 2013.

27.

Reduction of influence of task difficulty on perceptual decision making by STN deep brain stimulation.

Green N, Bogacz R, Huebl J, Beyer AK, Kühn AA, Heekeren HR.

Curr Biol. 2013 Sep 9;23(17):1681-4. doi: 10.1016/j.cub.2013.07.001. Epub 2013 Aug 8.

28.

Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats.

Lloyd K, Becker N, Jones MW, Bogacz R.

Front Comput Neurosci. 2012 Oct 30;6:87. doi: 10.3389/fncom.2012.00087. eCollection 2012.

29.

Distinct roles of dopamine and subthalamic nucleus in learning and probabilistic decision making.

Coulthard EJ, Bogacz R, Javed S, Mooney LK, Murphy G, Keeley S, Whone AL.

Brain. 2012 Dec;135(Pt 12):3721-34. doi: 10.1093/brain/aws273. Epub 2012 Oct 31.

30.

Consistent implementation of decisions in the brain.

Marshall JA, Bogacz R, Gilchrist ID.

PLoS One. 2012;7(9):e43443. doi: 10.1371/journal.pone.0043443. Epub 2012 Sep 12.

31.

Improved conditions for the generation of beta oscillations in the subthalamic nucleus--globus pallidus network.

Pavlides A, Hogan SJ, Bogacz R.

Eur J Neurosci. 2012 Jul;36(2):2229-39. doi: 10.1111/j.1460-9568.2012.08105.x.

PMID:
22805067
32.

Dysfunctional prefrontal cortical network activity and interactions following cannabinoid receptor activation.

Kucewicz MT, Tricklebank MD, Bogacz R, Jones MW.

J Neurosci. 2011 Oct 26;31(43):15560-8. doi: 10.1523/JNEUROSCI.2970-11.2011.

33.

Integration of reinforcement learning and optimal decision-making theories of the basal ganglia.

Bogacz R, Larsen T.

Neural Comput. 2011 Apr;23(4):817-51. doi: 10.1162/NECO_a_00103. Epub 2011 Jan 11.

PMID:
21222528
34.

An Infomax algorithm can perform both familiarity discrimination and feature extraction in a single network.

Lulham A, Bogacz R, Vogt S, Brown MW.

Neural Comput. 2011 Apr;23(4):909-26. doi: 10.1162/NECO_a_00097. Epub 2011 Jan 11.

PMID:
21222523
35.

Quantifying phase-amplitude coupling in neuronal network oscillations.

Onslow AC, Bogacz R, Jones MW.

Prog Biophys Mol Biol. 2011 Mar;105(1-2):49-57. doi: 10.1016/j.pbiomolbio.2010.09.007. Epub 2010 Sep 30.

PMID:
20869387
36.

Conditions for the generation of beta oscillations in the subthalamic nucleus-globus pallidus network.

Holgado AJ, Terry JR, Bogacz R.

J Neurosci. 2010 Sep 15;30(37):12340-52. doi: 10.1523/JNEUROSCI.0817-10.2010.

37.

Cortico-striatal connections predict control over speed and accuracy in perceptual decision making.

Forstmann BU, Anwander A, Schäfer A, Neumann J, Brown S, Wagenmakers EJ, Bogacz R, Turner R.

Proc Natl Acad Sci U S A. 2010 Sep 7;107(36):15916-20. doi: 10.1073/pnas.1004932107. Epub 2010 Aug 23.

38.

The neural mechanisms of learning from competitors.

Howard-Jones PA, Bogacz R, Yoo JH, Leonards U, Demetriou S.

Neuroimage. 2010 Nov 1;53(2):790-9. doi: 10.1016/j.neuroimage.2010.06.027. Epub 2010 Jun 16.

PMID:
20600992
39.

Robust versus optimal strategies for two-alternative forced choice tasks.

Zacksenhouse M, Bogacz R, Holmes P.

J Math Psychol. 2010 Apr 1;54(2):230-246. Epub 2010 Jan 13.

40.

Posterior weighted reinforcement learning with state uncertainty.

Larsen T, Leslie DS, Collins EJ, Bogacz R.

Neural Comput. 2010 May;22(5):1149-79. doi: 10.1162/neco.2010.01-09-948.

PMID:
20100078
41.

Initiation and termination of integration in a decision process.

Larsen T, Bogacz R.

Neural Netw. 2010 Apr;23(3):322-33. doi: 10.1016/j.neunet.2009.11.015. Epub 2009 Dec 3.

PMID:
20080384
42.

Optimal decision making on the basis of evidence represented in spike trains.

Zhang J, Bogacz R.

Neural Comput. 2010 May;22(5):1113-48. doi: 10.1162/neco.2009.05-09-1025.

PMID:
20028228
43.

The neural basis of the speed-accuracy tradeoff.

Bogacz R, Wagenmakers EJ, Forstmann BU, Nieuwenhuis S.

Trends Neurosci. 2010 Jan;33(1):10-6. doi: 10.1016/j.tins.2009.09.002. Epub 2009 Oct 8. Review.

PMID:
19819033
44.

A comparison of bounded diffusion models for choice in time controlled tasks.

Zhang J, Bogacz R, Holmes P.

J Math Psychol. 2009 Aug 1;53(4):231-241.

45.

Do humans produce the speed-accuracy trade-off that maximizes reward rate?

Bogacz R, Hu PT, Holmes PJ, Cohen JD.

Q J Exp Psychol (Hove). 2010 May;63(5):863-91. doi: 10.1080/17470210903091643. Epub 2009 Sep 10.

46.

On optimal decision-making in brains and social insect colonies.

Marshall JA, Bogacz R, Dornhaus A, Planqué R, Kovacs T, Franks NR.

J R Soc Interface. 2009 Nov 6;6(40):1065-74. doi: 10.1098/rsif.2008.0511. Epub 2009 Feb 25.

47.

Computational models can replicate the capacity of human recognition memory.

Androulidakis Z, Lulham A, Bogacz R, Brown MW.

Network. 2008;19(3):161-82. doi: 10.1080/09548980802412638.

PMID:
18946835
48.

Mammalian choices: combining fast-but-inaccurate and slow-but-accurate decision-making systems.

Trimmer PC, Houston AI, Marshall JA, Bogacz R, Paul ES, Mendl MT, McNamara JM.

Proc Biol Sci. 2008 Oct 22;275(1649):2353-61. doi: 10.1098/rspb.2008.0417.

49.

Short-term memory traces for action bias in human reinforcement learning.

Bogacz R, McClure SM, Li J, Cohen JD, Montague PR.

Brain Res. 2007 Jun 11;1153:111-21. Epub 2007 Mar 24.

PMID:
17459346
50.

Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice.

Bogacz R, Usher M, Zhang J, McClelland JL.

Philos Trans R Soc Lond B Biol Sci. 2007 Sep 29;362(1485):1655-70.

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