A citation-based method for searching scientific literature

Bruno Averbeck, John P O'Doherty. Neuropsychopharmacology 2022
Times Cited: 3







List of co-cited articles
4 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
66


A new perspective on the role of the orbitofrontal cortex in adaptive behaviour.
Geoffrey Schoenbaum, Matthew R Roesch, Thomas A Stalnaker, Yuji K Takahashi. Nat Rev Neurosci 2009
364
66


Dopamine-mediated regulation of corticostriatal synaptic plasticity.
Paolo Calabresi, Barbara Picconi, Alessandro Tozzi, Massimiliano Di Filippo. Trends Neurosci 2007
525
33


Reward Pays the Cost of Noise Reduction in Motor and Cognitive Control.
Sanjay G Manohar, Trevor T-J Chong, Matthew A J Apps, Amit Batla, Maria Stamelou, Paul R Jarman, Kailash P Bhatia, Masud Husain. Curr Biol 2015
154
33

By carrot or by stick: cognitive reinforcement learning in parkinsonism.
Michael J Frank, Lauren C Seeberger, Randall C O'reilly. Science 2004
33


A Postdecisional Neural Marker of Confidence Predicts Information-Seeking in Decision-Making.
Kobe Desender, Peter Murphy, Annika Boldt, Tom Verguts, Nick Yeung. J Neurosci 2019
16
33

Efficient coding of subjective value.
Rafael Polanía, Michael Woodford, Christian C Ruff. Nat Neurosci 2019
36
33

Normalized value coding explains dynamic adaptation in the human valuation process.
Mel W Khaw, Paul W Glimcher, Kenway Louie. Proc Natl Acad Sci U S A 2017
25
33

Neural differentiation of expected reward and risk in human subcortical structures.
Kerstin Preuschoff, Peter Bossaerts, Steven R Quartz. Neuron 2006
364
33

A neural signature of hierarchical reinforcement learning.
José J F Ribas-Fernandes, Alec Solway, Carlos Diuk, Joseph T McGuire, Andrew G Barto, Yael Niv, Matthew M Botvinick. Neuron 2011
91
33

The limit to exercise tolerance in humans: mind over muscle?
Samuele Maria Marcora, Walter Staiano. Eur J Appl Physiol 2010
189
33


Normalization is a general neural mechanism for context-dependent decision making.
Kenway Louie, Mel W Khaw, Paul W Glimcher. Proc Natl Acad Sci U S A 2013
123
33

Optimal behavioral hierarchy.
Alec Solway, Carlos Diuk, Natalia Córdova, Debbie Yee, Andrew G Barto, Yael Niv, Matthew M Botvinick. PLoS Comput Biol 2014
39
33


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
223
33


The neural basis of loss aversion in decision-making under risk.
Sabrina M Tom, Craig R Fox, Christopher Trepel, Russell A Poldrack. Science 2007
714
33

Speed/accuracy trade-off between the habitual and the goal-directed processes.
Mehdi Keramati, Amir Dezfouli, Payam Piray. PLoS Comput Biol 2011
167
33

Evidence integration in model-based tree search.
Alec Solway, Matthew M Botvinick. Proc Natl Acad Sci U S A 2015
17
33

Functional role of the supplementary and pre-supplementary motor areas.
Parashkev Nachev, Christopher Kennard, Masud Husain. Nat Rev Neurosci 2008
33

Computational psychiatry.
P Read Montague, Raymond J Dolan, Karl J Friston, Peter Dayan. Trends Cogn Sci 2012
370
33

Dynamic Interaction between Reinforcement Learning and Attention in Multidimensional Environments.
Yuan Chang Leong, Angela Radulescu, Reka Daniel, Vivian DeWoskin, Yael Niv. Neuron 2017
105
33

Inferring relevance in a changing world.
Robert C Wilson, Yael Niv. Front Hum Neurosci 2012
75
33

Toward a Rational and Mechanistic Account of Mental Effort.
Amitai Shenhav, Sebastian Musslick, Falk Lieder, Wouter Kool, Thomas L Griffiths, Jonathan D Cohen, Matthew M Botvinick. Annu Rev Neurosci 2017
258
33

Deterministic response strategies in a trial-and-error learning task.
Holger Mohr, Katharina Zwosta, Dimitrije Markovic, Sebastian Bitzer, Uta Wolfensteller, Hannes Ruge. PLoS Comput Biol 2018
4
33

Expectations of reward and efficacy guide cognitive control allocation.
R Frömer, H Lin, C K Dean Wolf, M Inzlicht, A Shenhav. Nat Commun 2021
18
33

Strategic control in decision-making under uncertainty.
Vinod Venkatraman, Scott A Huettel. Eur J Neurosci 2012
37
33


Dorsal anterior cingulate cortex and the value of control.
Amitai Shenhav, Jonathan D Cohen, Matthew M Botvinick. Nat Neurosci 2016
241
33

Choice history biases subsequent evidence accumulation.
Anne E Urai, Jan Willem de Gee, Konstantinos Tsetsos, Tobias H Donner. Elife 2019
43
33

A computational and neural model of momentary subjective well-being.
Robb B Rutledge, Nikolina Skandali, Peter Dayan, Raymond J Dolan. Proc Natl Acad Sci U S A 2014
117
33

The Tolman-Eichenbaum Machine: Unifying Space and Relational Memory through Generalization in the Hippocampal Formation.
James C R Whittington, Timothy H Muller, Shirley Mark, Guifen Chen, Caswell Barry, Neil Burgess, Timothy E J Behrens. Cell 2020
57
33

An opportunity cost model of subjective effort and task performance.
Robert Kurzban, Angela Duckworth, Joseph W Kable, Justus Myers. Behav Brain Sci 2013
395
33


Decoding subjective decisions from orbitofrontal cortex.
Erin L Rich, Jonathan D Wallis. Nat Neurosci 2016
157
33

Transformation of stimulus value signals into motor commands during simple choice.
Todd A Hare, Wolfram Schultz, Colin F Camerer, John P O'Doherty, Antonio Rangel. Proc Natl Acad Sci U S A 2011
196
33


Diffusion Decision Model: Current Issues and History.
Roger Ratcliff, Philip L Smith, Scott D Brown, Gail McKoon. Trends Cogn Sci 2016
403
33

Metacognition in human decision-making: confidence and error monitoring.
Nick Yeung, Christopher Summerfield. Philos Trans R Soc Lond B Biol Sci 2012
234
33

On the challenges and mechanisms of embodied decisions.
Paul Cisek, Alexandre Pastor-Bernier. Philos Trans R Soc Lond B Biol Sci 2014
71
33


Irrational time allocation in decision-making.
Bastiaan Oud, Ian Krajbich, Kevin Miller, Jin Hyun Cheong, Matthew Botvinick, Ernst Fehr. Proc Biol Sci 2016
23
33

Belief state representation in the dopamine system.
Benedicte M Babayan, Naoshige Uchida, Samuel J Gershman. Nat Commun 2018
35
33

Deep Reinforcement Learning and Its Neuroscientific Implications.
Matthew Botvinick, Jane X Wang, Will Dabney, Kevin J Miller, Zeb Kurth-Nelson. Neuron 2020
25
33



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.