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From Creatures of Habit to Goal-Directed Learners: Tracking the Developmental Emergence of Model-Based Reinforcement Learning.
Johannes H Decker, A Ross Otto, Nathaniel D Daw, Catherine A Hartley. Psychol Sci 2016
Times Cited: 76






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



Times Cited
  Times     Co-cited
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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
679
44
57

Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control.
Nathaniel D Daw, Yael Niv, Peter Dayan. Nat Neurosci 2005
1092
32
42

Characterizing a psychiatric symptom dimension related to deficits in goal-directed control.
Claire M Gillan, Michal Kosinski, Robert Whelan, Elizabeth A Phelps, Nathaniel D Daw. Elife 2016
174
23
30

Working-memory capacity protects model-based learning from stress.
A Ross Otto, Candace M Raio, Alice Chiang, Elizabeth A Phelps, Nathaniel D Daw. Proc Natl Acad Sci U S A 2013
206
21
27

Goals and habits in the brain.
Ray J Dolan, Peter Dayan. Neuron 2013
391
21
27

The curse of planning: dissecting multiple reinforcement-learning systems by taxing the central executive.
A Ross Otto, Samuel J Gershman, Arthur B Markman, Nathaniel D Daw. Psychol Sci 2013
151
20
26

Ventral striatal dopamine reflects behavioral and neural signatures of model-based control during sequential decision making.
Lorenz Deserno, Quentin J M Huys, Rebecca Boehme, Ralph Buchert, Hans-Jochen Heinze, Anthony A Grace, Raymond J Dolan, Andreas Heinz, Florian Schlagenhauf. Proc Natl Acad Sci U S A 2015
111
18
23

Model-based choices involve prospective neural activity.
Bradley B Doll, Katherine D Duncan, Dylan A Simon, Daphna Shohamy, Nathaniel D Daw. Nat Neurosci 2015
119
17
22

States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning.
Jan Gläscher, Nathaniel Daw, Peter Dayan, John P O'Doherty. Neuron 2010
544
17
22

Striatum-medial prefrontal cortex connectivity predicts developmental changes in reinforcement learning.
Wouter van den Bos, Michael X Cohen, Thorsten Kahnt, Eveline A Crone. Cereb Cortex 2012
134
17
22

A neural substrate of prediction and reward.
W Schultz, P Dayan, P R Montague. Science 1997
4406
16
21

Neural computations underlying arbitration between model-based and model-free learning.
Sang Wan Lee, Shinsuke Shimojo, John P O'Doherty. Neuron 2014
226
15
19

Disorders of compulsivity: a common bias towards learning habits.
V Voon, K Derbyshire, C Rück, M A Irvine, Y Worbe, J Enander, L R N Schreiber, C Gillan, N A Fineberg, B J Sahakian,[...]. Mol Psychiatry 2015
255
15
19

Cognitive flexibility in adolescence: neural and behavioral mechanisms of reward prediction error processing in adaptive decision making during development.
Tobias U Hauser, Reto Iannaccone, Susanne Walitza, Daniel Brandeis, Silvia Brem. Neuroimage 2015
65
15
23

Cognitive components underpinning the development of model-based learning.
Tracey C S Potter, Nessa V Bryce, Catherine A Hartley. Dev Cogn Neurosci 2017
18
15
83

Human and rodent homologies in action control: corticostriatal determinants of goal-directed and habitual action.
Bernard W Balleine, John P O'Doherty. Neuropsychopharmacology 2010
920
14
18

Model-based learning protects against forming habits.
Claire M Gillan, A Ross Otto, Elizabeth A Phelps, Nathaniel D Daw. Cogn Affect Behav Neurosci 2015
79
14
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
14
24

Dynamic mapping of human cortical development during childhood through early adulthood.
Nitin Gogtay, Jay N Giedd, Leslie Lusk, Kiralee M Hayashi, Deanna Greenstein, A Catherine Vaituzis, Tom F Nugent, David H Herman, Liv S Clasen, Arthur W Toga,[...]. Proc Natl Acad Sci U S A 2004
3031
13
17

The neuroscience of adolescent decision-making.
Catherine A Hartley, Leah H Somerville. Curr Opin Behav Sci 2015
55
13
23

Disruption of dorsolateral prefrontal cortex decreases model-based in favor of model-free control in humans.
Peter Smittenaar, Thomas H B FitzGerald, Vincenzo Romei, Nicholas D Wright, Raymond J Dolan. Neuron 2013
118
13
17

Dopamine enhances model-based over model-free choice behavior.
Klaus Wunderlich, Peter Smittenaar, Raymond J Dolan. Neuron 2012
137
12
15

When Does Model-Based Control Pay Off?
Wouter Kool, Fiery A Cushman, Samuel J Gershman. PLoS Comput Biol 2016
39
12
30

Charting the expansion of strategic exploratory behavior during adolescence.
Leah H Somerville, Stephanie F Sasse, Megan C Garrad, Andrew T Drysdale, Nadine Abi Akar, Catherine Insel, Robert C Wilson. J Exp Psychol Gen 2017
40
12
30

The Computational Development of Reinforcement Learning during Adolescence.
Stefano Palminteri, Emma J Kilford, Giorgio Coricelli, Sarah-Jayne Blakemore. PLoS Comput Biol 2016
36
12
33

A unique adolescent response to reward prediction errors.
Jessica R Cohen, Robert F Asarnow, Fred W Sabb, Robert M Bilder, Susan Y Bookheimer, Barbara J Knowlton, Russell A Poldrack. Nat Neurosci 2010
170
11
14

Neural and psychological maturation of decision-making in adolescence and young adulthood.
Anastasia Christakou, Samuel J Gershman, Yael Niv, Andrew Simmons, Mick Brammer, Katya Rubia. J Cogn Neurosci 2013
53
11
20

Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems.
Wouter Kool, Samuel J Gershman, Fiery A Cushman. Psychol Sci 2017
58
11
18

Cognitive control predicts use of model-based reinforcement learning.
A Ross Otto, Anya Skatova, Seth Madlon-Kay, Nathaniel D Daw. J Cogn Neurosci 2015
74
10
13

Experiential reward learning outweighs instruction prior to adulthood.
Johannes H Decker, Frederico S Lourenco, Bradley B Doll, Catherine A Hartley. Cogn Affect Behav Neurosci 2015
27
10
37

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
1305
10
13

Brain development during childhood and adolescence: a longitudinal MRI study.
J N Giedd, J Blumenthal, N O Jeffries, F X Castellanos, H Liu, A Zijdenbos, T Paus, A C Evans, J L Rapoport. Nat Neurosci 1999
3036
10
13

Improving the reliability of model-based decision-making estimates in the two-stage decision task with reaction-times and drift-diffusion modeling.
Nitzan Shahar, Tobias U Hauser, Michael Moutoussis, Rani Moran, Mehdi Keramati, Raymond J Dolan. PLoS Comput Biol 2019
28
10
35

The interaction of acute and chronic stress impairs model-based behavioral control.
Christoph Radenbach, Andrea M F Reiter, Veronika Engert, Zsuzsika Sjoerds, Arno Villringer, Hans-Jochen Heinze, Lorenz Deserno, Florian Schlagenhauf. Psychoneuroendocrinology 2015
48
9
18

Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task.
Thomas Akam, Rui Costa, Peter Dayan. PLoS Comput Biol 2015
36
9
25

Model-based and model-free decisions in alcohol dependence.
Miriam Sebold, Lorenz Deserno, Stephan Nebe, Daniel J Schad, Maria Garbusow, Claudia Hägele, Jürgen Keller, Elisabeth Jünger, Norbert Kathmann, Michael N Smolka,[...]. Neuropsychobiology 2014
85
9
11

An Upside to Reward Sensitivity: The Hippocampus Supports Enhanced Reinforcement Learning in Adolescence.
Juliet Y Davidow, Karin Foerde, Adriana Galván, Daphna Shohamy. Neuron 2016
67
9
13

The ubiquity of model-based reinforcement learning.
Bradley B Doll, Dylan A Simon, Nathaniel D Daw. Curr Opin Neurobiol 2012
146
8
10

Retrospective revaluation in sequential decision making: a tale of two systems.
Samuel J Gershman, Arthur B Markman, A Ross Otto. J Exp Psychol Gen 2014
86
8
10

Actions, action sequences and habits: evidence that goal-directed and habitual action control are hierarchically organized.
Amir Dezfouli, Bernard W Balleine. PLoS Comput Biol 2013
84
8
10

Motivation and value influences in the relative balance of goal-directed and habitual behaviours in obsessive-compulsive disorder.
V Voon, K Baek, J Enander, Y Worbe, L S Morris, N A Harrison, T W Robbins, C Rück, N Daw. Transl Psychiatry 2015
37
8
21

Disruption in the balance between goal-directed behavior and habit learning in obsessive-compulsive disorder.
Claire M Gillan, Martina Papmeyer, Sharon Morein-Zamir, Barbara J Sahakian, Naomi A Fineberg, Trevor W Robbins, Sanne de Wit. Am J Psychiatry 2011
286
8
10

Cognitive maps in rats and men.
E C TOLMAN. Psychol Rev 1948
1494
8
10

Earlier development of the accumbens relative to orbitofrontal cortex might underlie risk-taking behavior in adolescents.
Adriana Galvan, Todd A Hare, Cindy E Parra, Jackie Penn, Henning Voss, Gary Glover, B J Casey. J Neurosci 2006
711
8
10

The adolescent brain and age-related behavioral manifestations.
L P Spear. Neurosci Biobehav Rev 2000
3247
7
9

Speed/accuracy trade-off between the habitual and the goal-directed processes.
Mehdi Keramati, Amir Dezfouli, Payam Piray. PLoS Comput Biol 2011
158
7
9

Processing speed enhances model-based over model-free reinforcement learning in the presence of high working memory functioning.
Daniel J Schad, Elisabeth Jünger, Miriam Sebold, Maria Garbusow, Nadine Bernhardt, Amir-Homayoun Javadi, Ulrich S Zimmermann, Michael N Smolka, Andreas Heinz, Michael A Rapp,[...]. Front Psychol 2014
34
7
20

Dopamine selectively remediates 'model-based' reward learning: a computational approach.
Madeleine E Sharp, Karin Foerde, Nathaniel D Daw, Daphna Shohamy. Brain 2016
51
7
13

Variability in Dopamine Genes Dissociates Model-Based and Model-Free Reinforcement Learning.
Bradley B Doll, Kevin G Bath, Nathaniel D Daw, Michael J Frank. J Neurosci 2016
45
7
15

Altered fear learning across development in both mouse and human.
Siobhan S Pattwell, Stéphanie Duhoux, Catherine A Hartley, David C Johnson, Deqiang Jing, Mark D Elliott, Erika J Ruberry, Alisa Powers, Natasha Mehta, Rui R Yang,[...]. Proc Natl Acad Sci U S A 2012
233
7
9


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.

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