A citation-based method for searching scientific literature

Rumana Chowdhury, Marc Guitart-Masip, Christian Lambert, Peter Dayan, Quentin Huys, Emrah Düzel, Raymond J Dolan. Nat Neurosci 2013
Times Cited: 143







List of co-cited articles
1018 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


A neural substrate of prediction and reward.
W Schultz, P Dayan, P R Montague. Science 1997
33

Reduced striatal responses to reward prediction errors in older compared with younger adults.
Ben Eppinger, Nicolas W Schuck, Leigh E Nystrom, Jonathan D Cohen. J Neurosci 2013
79
36

Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans.
Mathias Pessiglione, Ben Seymour, Guillaume Flandin, Raymond J Dolan, Chris D Frith. Nature 2006
847
29

Adult age differences in frontostriatal representation of prediction error but not reward outcome.
Gregory R Samanez-Larkin, Darrell A Worthy, Rui Mata, Samuel M McClure, Brian Knutson. Cogn Affect Behav Neurosci 2014
54
44

By carrot or by stick: cognitive reinforcement learning in parkinsonism.
Michael J Frank, Lauren C Seeberger, Randall C O'reilly. Science 2004
20

Anticipation of monetary gain but not loss in healthy older adults.
Gregory R Samanez-Larkin, Sasha E B Gibbs, Kabir Khanna, Lisbeth Nielsen, Laura L Carstensen, Brian Knutson. Nat Neurosci 2007
239
19

Neuromodulation of reward-based learning and decision making in human aging.
Ben Eppinger, Dorothea Hämmerer, Shu-Chen Li. Ann N Y Acad Sci 2011
115
18

The reward circuit: linking primate anatomy and human imaging.
Suzanne N Haber, Brian Knutson. Neuropsychopharmacology 2010
17

Variability in nucleus accumbens activity mediates age-related suboptimal financial risk taking.
Gregory R Samanez-Larkin, Camelia M Kuhnen, Daniel J Yoo, Brian Knutson. J Neurosci 2010
131
16

Ageing and early-stage Parkinson's disease affect separable neural mechanisms of mesolimbic reward processing.
Björn H Schott, Ludwig Niehaus, Bianca C Wittmann, Hartmut Schütze, Constanze I Seidenbecher, Hans-Jochen Heinze, Emrah Düzel. Brain 2007
131
16

Age differences in risky choice: a meta-analysis.
Rui Mata, Anika K Josef, Gregory R Samanez-Larkin, Ralph Hertwig. Ann N Y Acad Sci 2011
160
15

Linking cognitive aging to alterations in dopamine neurotransmitter functioning: recent data and future avenues.
Lars Bäckman, Ulman Lindenberger, Shu-Chen Li, Lars Nyberg. Neurosci Biobehav Rev 2010
213
15

Model-based influences on humans' choices and striatal prediction errors.
Nathaniel D Daw, Samuel J Gershman, Ben Seymour, Peter Dayan, Raymond J Dolan. Neuron 2011
672
15

Dissociable roles of ventral and dorsal striatum in instrumental conditioning.
John O'Doherty, Peter Dayan, Johannes Schultz, Ralf Deichmann, Karl Friston, Raymond J Dolan. Science 2004
14

Frontostriatal white matter integrity mediates adult age differences in probabilistic reward learning.
Gregory R Samanez-Larkin, Sara M Levens, Lee M Perry, Robert F Dougherty, Brian Knutson. J Neurosci 2012
77
18

Effect of aging on stimulus-reward association learning.
T Mell, H R Heekeren, A Marschner, I Wartenburger, A Villringer, F M Reischies. Neuropsychologia 2005
92
15

Decision making in the ageing brain: changes in affective and motivational circuits.
Gregory R Samanez-Larkin, Brian Knutson. Nat Rev Neurosci 2015
118
14


Age-related changes in midbrain dopaminergic regulation of the human reward system.
Jean-Claude Dreher, Andreas Meyer-Lindenberg, Philip Kohn, Karen Faith Berman. Proc Natl Acad Sci U S A 2008
129
13

The correlative triad among aging, dopamine, and cognition: current status and future prospects.
Lars Bäckman, Lars Nyberg, Ulman Lindenberger, Shu-Chen Li, Lars Farde. Neurosci Biobehav Rev 2006
449
13

Reduced dopamine receptors and transporters but not synthesis capacity in normal aging adults: a meta-analysis.
Teresa M Karrer, Anika K Josef, Rui Mata, Evan D Morris, Gregory R Samanez-Larkin. Neurobiol Aging 2017
76
17

Dopaminergic drugs modulate learning rates and perseveration in Parkinson's patients in a dynamic foraging task.
Robb B Rutledge, Stephanie C Lazzaro, Brian Lau, Catherine E Myers, Mark A Gluck, Paul W Glimcher. J Neurosci 2009
140
12



Aging and motivated cognition: the positivity effect in attention and memory.
Mara Mather, Laura L Carstensen. Trends Cogn Sci 2005
815
10

Temporal difference models and reward-related learning in the human brain.
John P O'Doherty, Peter Dayan, Karl Friston, Hugo Critchley, Raymond J Dolan. Neuron 2003
911
10

Cortical substrates for exploratory decisions in humans.
Nathaniel D Daw, John P O'Doherty, Peter Dayan, Ben Seymour, Raymond J Dolan. Nature 2006
984
10

Altered function of ventral striatum during reward-based decision making in old age.
Thomas Mell, Isabell Wartenburger, Alexander Marschner, Arno Villringer, Friedel M Reischies, Hauke R Heekeren. Front Hum Neurosci 2009
71
14

Life span differences in electrophysiological correlates of monitoring gains and losses during probabilistic reinforcement learning.
Dorothea Hämmerer, Shu-Chen Li, Viktor Müller, Ulman Lindenberger. J Cogn Neurosci 2011
115
10


Dopamine in motivational control: rewarding, aversive, and alerting.
Ethan S Bromberg-Martin, Masayuki Matsumoto, Okihide Hikosaka. Neuron 2010
9

Abnormal temporal difference reward-learning signals in major depression.
P Kumar, G Waiter, T Ahearn, M Milders, I Reid, J D Steele. Brain 2008
223
9

Prediction error in reinforcement learning: a meta-analysis of neuroimaging studies.
Jane Garrison, Burak Erdeniz, John Done. Neurosci Biobehav Rev 2013
197
9

Tonic dopamine: opportunity costs and the control of response vigor.
Yael Niv, Nathaniel D Daw, Daphna Joel, Peter Dayan. Psychopharmacology (Berl) 2007
578
9

Differential patterns of nucleus accumbens activation during anticipation of monetary and social reward in young and older adults.
Lena Rademacher, Aallaa Salama, Gerhard Gründer, Katja N Spreckelmeyer. Soc Cogn Affect Neurosci 2014
45
17


Genetic triple dissociation reveals multiple roles for dopamine in reinforcement learning.
Michael J Frank, Ahmed A Moustafa, Heather M Haughey, Tim Curran, Kent E Hutchison. Proc Natl Acad Sci U S A 2007
386
8

Better or worse than expected? Aging, learning, and the ERN.
Ben Eppinger, Jutta Kray, Barbara Mock, Axel Mecklinger. Neuropsychologia 2008
168
8

Neural responses to monetary incentives in younger and older adults.
Julia Spaniol, Holly J Bowen, Pete Wegier, Cheryl Grady. Brain Res 2015
26
30

Reduced sensitivity to immediate reward during decision-making in older than younger adults.
Ben Eppinger, Leigh E Nystrom, Jonathan D Cohen. PLoS One 2012
68
11

Age-based differences in strategy use in choice tasks.
Darrell A Worthy, W Todd Maddox. Front Neurosci 2012
44
18

Of goals and habits: age-related and individual differences in goal-directed decision-making.
Ben Eppinger, Maik Walter, Hauke R Heekeren, Shu-Chen Li. Front Neurosci 2013
58
13

A causal link between prediction errors, dopamine neurons and learning.
Elizabeth E Steinberg, Ronald Keiflin, Josiah R Boivin, Ilana B Witten, Karl Deisseroth, Patricia H Janak. Nat Neurosci 2013
416
8

Adaptive coding of reward value by dopamine neurons.
Philippe N Tobler, Christopher D Fiorillo, Wolfram Schultz. Science 2005
700
8

The mysterious motivational functions of mesolimbic dopamine.
John D Salamone, Mercè Correa. Neuron 2012
678
8

Dopamine modulates episodic memory persistence in old age.
Rumana Chowdhury, Marc Guitart-Masip, Nico Bunzeck, Raymond J Dolan, Emrah Düzel. J Neurosci 2012
102
8

Bayesian model selection for group studies.
Klaas Enno Stephan, Will D Penny, Jean Daunizeau, Rosalyn J Moran, Karl J Friston. Neuroimage 2009
794
8


BOLD responses reflecting dopaminergic signals in the human ventral tegmental area.
Kimberlee D'Ardenne, Samuel M McClure, Leigh E Nystrom, Jonathan D Cohen. Science 2008
440
7

The root of all value: a neural common currency for choice.
Dino J Levy, Paul W Glimcher. Curr Opin Neurobiol 2012
503
7


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.