A citation-based method for searching scientific literature

P Read Montague, Raymond J Dolan, Karl J Friston, Peter Dayan. Trends Cogn Sci 2012
Times Cited: 370







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



Times Cited
  Times     Co-cited
Similarity


Computational psychiatry as a bridge from neuroscience to clinical applications.
Quentin J M Huys, Tiago V Maia, Michael J Frank. Nat Neurosci 2016
325
36

Computational psychiatry: the brain as a phantastic organ.
Karl J Friston, Klaas Enno Stephan, Read Montague, Raymond J Dolan. Lancet Psychiatry 2014
209
25

Computational psychiatry.
Xiao-Jing Wang, John H Krystal. Neuron 2014
171
23

Active Inference: A Process Theory.
Karl Friston, Thomas FitzGerald, Francesco Rigoli, Philipp Schwartenbeck, Giovanni Pezzulo. Neural Comput 2017
239
16

The free-energy principle: a unified brain theory?
Karl Friston. Nat Rev Neurosci 2010
15

Computational Psychiatry: towards a mathematically informed understanding of mental illness.
Rick A Adams, Quentin J M Huys, Jonathan P Roiser. J Neurol Neurosurg Psychiatry 2016
104
15

Computational approaches to psychiatry.
Klaas Enno Stephan, Christoph Mathys. Curr Opin Neurobiol 2014
128
14

A neural substrate of prediction and reward.
W Schultz, P Dayan, P R Montague. Science 1997
13

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
197
12

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
730
12



Research domain criteria (RDoC): toward a new classification framework for research on mental disorders.
Thomas Insel, Bruce Cuthbert, Marjorie Garvey, Robert Heinssen, Daniel S Pine, Kevin Quinn, Charles Sanislow, Philip Wang. Am J Psychiatry 2010
11

A theory of cortical responses.
Karl Friston. Philos Trans R Soc Lond B Biol Sci 2005
11

Adults with autism overestimate the volatility of the sensory environment.
Rebecca P Lawson, Christoph Mathys, Geraint Rees. Nat Neurosci 2017
143
10


Learning the value of information in an uncertain world.
Timothy E J Behrens, Mark W Woolrich, Mark E Walton, Matthew F S Rushworth. Nat Neurosci 2007
969
10

Computational Psychosomatics and Computational Psychiatry: Toward a Joint Framework for Differential Diagnosis.
Frederike H Petzschner, Lilian A E Weber, Tim Gard, Klaas E Stephan. Biol Psychiatry 2017
69
14

Uncertainty in perception and the Hierarchical Gaussian Filter.
Christoph D Mathys, Ekaterina I Lomakina, Jean Daunizeau, Sandra Iglesias, Kay H Brodersen, Karl J Friston, Klaas E Stephan. Front Hum Neurosci 2014
139
10

Computational Phenotyping in Psychiatry: A Worked Example.
Philipp Schwartenbeck, Karl Friston. eNeuro 2016
53
16

Large-scale analysis of test-retest reliabilities of self-regulation measures.
A Zeynep Enkavi, Ian W Eisenberg, Patrick G Bissett, Gina L Mazza, David P MacKinnon, Lisa A Marsch, Russell A Poldrack. Proc Natl Acad Sci U S A 2019
128
9

The Predictive Coding Account of Psychosis.
Philipp Sterzer, Rick A Adams, Paul Fletcher, Chris Frith, Stephen M Lawrie, Lars Muckli, Predrag Petrovic, Peter Uhlhaas, Martin Voss, Philip R Corlett. Biol Psychiatry 2018
199
9

The graphical brain: Belief propagation and active inference.
Karl J Friston, Thomas Parr, Bert de Vries. Netw Neurosci 2017
126
9

Computational Dysfunctions in Anxiety: Failure to Differentiate Signal From Noise.
He Huang, Wesley Thompson, Martin P Paulus. Biol Psychiatry 2017
27
33

Planning and navigation as active inference.
Raphael Kaplan, Karl J Friston. Biol Cybern 2018
48
16

Working memory, attention, and salience in active inference.
Thomas Parr, Karl J Friston. Sci Rep 2017
79
10

Canonical microcircuits for predictive coding.
Andre M Bastos, W Martin Usrey, Rick A Adams, George R Mangun, Pascal Fries, Karl J Friston. Neuron 2012
964
8

Active inference and learning.
Karl Friston, Thomas FitzGerald, Francesco Rigoli, Philipp Schwartenbeck, John O Doherty, Giovanni Pezzulo. Neurosci Biobehav Rev 2016
158
8

Anxious individuals have difficulty learning the causal statistics of aversive environments.
Michael Browning, Timothy E Behrens, Gerhard Jocham, Jill X O'Reilly, Sonia J Bishop. Nat Neurosci 2015
143
8

A bayesian foundation for individual learning under uncertainty.
Christoph Mathys, Jean Daunizeau, Karl J Friston, Klaas E Stephan. Front Hum Neurosci 2011
259
8

Bayesian model selection for group studies.
Klaas Enno Stephan, Will D Penny, Jean Daunizeau, Rosalyn J Moran, Karl J Friston. Neuroimage 2009
840
8

Hierarchical prediction errors in midbrain and basal forebrain during sensory learning.
Sandra Iglesias, Christoph Mathys, Kay H Brodersen, Lars Kasper, Marco Piccirelli, Hanneke E M den Ouden, Klaas E Stephan. Neuron 2013
177
7

Variational free energy and the Laplace approximation.
Karl Friston, Jérémie Mattout, Nelson Trujillo-Barreto, John Ashburner, Will Penny. Neuroimage 2007
424
7

Depression: a decision-theoretic analysis.
Quentin J M Huys, Nathaniel D Daw, Peter Dayan. Annu Rev Neurosci 2015
75
9

A Roadmap for the Development of Applied Computational Psychiatry.
Martin P Paulus, Quentin J M Huys, Tiago V Maia. Biol Psychiatry Cogn Neurosci Neuroimaging 2016
47
14

Observing the observer (I): meta-bayesian models of learning and decision-making.
Jean Daunizeau, Hanneke E M den Ouden, Matthias Pessiglione, Stefan J Kiebel, Klaas E Stephan, Karl J Friston. PLoS One 2010
89
7

The computational anatomy of psychosis.
Rick A Adams, Klaas Enno Stephan, Harriet R Brown, Christopher D Frith, Karl J Friston. Front Psychiatry 2013
365
7

Translational Perspectives for Computational Neuroimaging.
Klaas E Stephan, Sandra Iglesias, Jakob Heinzle, Andreea O Diaconescu. Neuron 2015
102
7

Computational psychiatry: a Rosetta Stone linking the brain to mental illness.
Philip R Corlett, Paul C Fletcher. Lancet Psychiatry 2014
54
12

Predictive coding under the free-energy principle.
Karl Friston, Stefan Kiebel. Philos Trans R Soc Lond B Biol Sci 2009
518
7

A framework for studying the neurobiology of value-based decision making.
Antonio Rangel, Colin Camerer, P Read Montague. Nat Rev Neurosci 2008
978
6

Charting the landscape of priority problems in psychiatry, part 1: classification and diagnosis.
Klaas E Stephan, Dominik R Bach, Paul C Fletcher, Jonathan Flint, Michael J Frank, Karl J Friston, Andreas Heinz, Quentin J M Huys, Michael J Owen, Elisabeth B Binder,[...]. Lancet Psychiatry 2016
83
7

Expected value and prediction error abnormalities in depression and schizophrenia.
Victoria B Gradin, Poornima Kumar, Gordon Waiter, Trevor Ahearn, Catriona Stickle, Marteen Milders, Ian Reid, Jeremy Hall, J Douglas Steele. Brain 2011
256
6

An aberrant precision account of autism.
Rebecca P Lawson, Geraint Rees, Karl J Friston. Front Hum Neurosci 2014
257
6

Inferring on the intentions of others by hierarchical Bayesian learning.
Andreea O Diaconescu, Christoph Mathys, Lilian A E Weber, Jean Daunizeau, Lars Kasper, Ekaterina I Lomakina, Ernst Fehr, Klaas E Stephan. PLoS Comput Biol 2014
84
7


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
33
18





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.