A citation-based method for searching scientific literature

Quentin J M Huys, Michael Browning, Martin P Paulus, Michael J Frank. Neuropsychopharmacology 2021
Times Cited: 9







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



Times Cited
  Times     Co-cited
Similarity


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
431
22

Serotonin and dopamine: unifying affective, activational, and decision functions.
Roshan Cools, Kae Nakamura, Nathaniel D Daw. Neuropsychopharmacology 2011
237
22



Role of dopamine D2 receptors in human reinforcement learning.
Christoph Eisenegger, Michael Naef, Anke Linssen, Luke Clark, Praveen K Gandamaneni, Ulrich Müller, Trevor W Robbins. Neuropsychopharmacology 2014
68
22

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
98
22


Impaired Tuning of Neural Ensembles and the Pathophysiology of Schizophrenia: A Translational and Computational Neuroscience Perspective.
John H Krystal, Alan Anticevic, Genevieve J Yang, George Dragoi, Naomi R Driesen, Xiao-Jing Wang, John D Murray. Biol Psychiatry 2017
89
22

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
175
22

The computational anatomy of psychosis.
Rick A Adams, Klaas Enno Stephan, Harriet R Brown, Christopher D Frith, Karl J Friston. Front Psychiatry 2013
351
22

Experimental evidence for circular inference in schizophrenia.
Renaud Jardri, Sandrine Duverne, Alexandra S Litvinova, Sophie Denève. Nat Commun 2017
46
22


Computational psychiatry: the brain as a phantastic organ.
Karl J Friston, Klaas Enno Stephan, Read Montague, Raymond J Dolan. Lancet Psychiatry 2014
197
22

Computational psychiatry as a bridge from neuroscience to clinical applications.
Quentin J M Huys, Tiago V Maia, Michael J Frank. Nat Neurosci 2016
301
22

Systems-based proteomics to resolve the biology of Alzheimer's disease beyond amyloid and tau.
Sruti Rayaprolu, Lenora Higginbotham, Pritha Bagchi, Caroline M Watson, Tian Zhang, Allan I Levey, Srikant Rangaraju, Nicholas T Seyfried. Neuropsychopharmacology 2021
9
11

Interpretation of psychiatric genome-wide association studies with multispecies heterogeneous functional genomic data integration.
Timothy Reynolds, Emma C Johnson, Spencer B Huggett, Jason A Bubier, Rohan H C Palmer, Arpana Agrawal, Erich J Baker, Elissa J Chesler. Neuropsychopharmacology 2021
3
33

Biotyping in psychosis: using multiple computational approaches with one data set.
Carol A Tamminga, Brett A Clementz, Godfrey Pearlson, Macheri Keshavan, Elliot S Gershon, Elena I Ivleva, Jennifer McDowell, Shashwath A Meda, Sarah Keedy, Vince D Calhoun,[...]. Neuropsychopharmacology 2021
4
25

Leveraging large genomic datasets to illuminate the pathobiology of autism spectrum disorders.
Veronica B Searles Quick, Belinda Wang, Matthew W State. Neuropsychopharmacology 2021
9
11



Signature-based approaches for informed drug repurposing: targeting CNS disorders.
Rammohan Shukla, Nicholas D Henkel, Khaled Alganem, Abdul-Rizaq Hamoud, James Reigle, Rawan S Alnafisah, Hunter M Eby, Ali S Imami, Justin F Creeden, Scott A Miruzzi,[...]. Neuropsychopharmacology 2021
8
12

Big behavior: challenges and opportunities in a new era of deep behavior profiling.
Lukas von Ziegler, Oliver Sturman, Johannes Bohacek. Neuropsychopharmacology 2021
18
11


Real-time mobile monitoring of bipolar disorder: a review of evidence and future directions.
Gideon P Dunster, Joel Swendsen, Kathleen Ries Merikangas. Neuropsychopharmacology 2021
6
16

Deep learning for small and big data in psychiatry.
Georgia Koppe, Andreas Meyer-Lindenberg, Daniel Durstewitz. Neuropsychopharmacology 2021
13
11

Modeling brain, symptom, and behavior in the winds of change.
David M Lydon-Staley, Eli J Cornblath, Ann Sizemore Blevins, Danielle S Bassett. Neuropsychopharmacology 2021
3
33

PsychENCODE and beyond: transcriptomics and epigenomics of brain development and organoids.
Alexandre Jourdon, Soraya Scuderi, Davide Capauto, Alexej Abyzov, Flora M Vaccarino. Neuropsychopharmacology 2021
2
50


Toward dynamic phenotypes and the scalable measurement of human behavior.
Laura Germine, Roger W Strong, Shifali Singh, Martin J Sliwinski. Neuropsychopharmacology 2021
4
25


Dopamine in drug abuse and addiction: results from imaging studies and treatment implications.
N D Volkow, J S Fowler, G-J Wang, J M Swanson. Mol Psychiatry 2004
551
11

EMOTICOM: A Neuropsychological Test Battery to Evaluate Emotion, Motivation, Impulsivity, and Social Cognition.
Amy R Bland, Jonathan P Roiser, Mitul A Mehta, Thea Schei, Heather Boland, Daniel K Campbell-Meiklejohn, Richard A Emsley, Marcus R Munafo, Ian S Penton-Voak, Ana Seara-Cardoso,[...]. Front Behav Neurosci 2016
36
11

Negative reinforcement learning is affected in substance dependence.
Laetitia L Thompson, Eric D Claus, Susan K Mikulich-Gilbertson, Marie T Banich, Thomas Crowley, Theodore Krmpotich, David Miller, Jody Tanabe. Drug Alcohol Depend 2012
21
11

Decreased dopamine D2 receptor availability is associated with reduced frontal metabolism in cocaine abusers.
N D Volkow, J S Fowler, G J Wang, R Hitzemann, J Logan, D J Schlyer, S L Dewey, A P Wolf. Synapse 1993
630
11

A tutorial on bridge sampling.
Quentin F Gronau, Alexandra Sarafoglou, Dora Matzke, Alexander Ly, Udo Boehm, Maarten Marsman, David S Leslie, Jonathan J Forster, Eric-Jan Wagenmakers, Helen Steingroever. J Math Psychol 2017
47
11

Effects of repeated cocaine exposure on habit learning and reversal by N-acetylcysteine.
Laura H Corbit, Billy C Chieng, Bernard W Balleine. Neuropsychopharmacology 2014
78
11


The global epidemiology and burden of psychostimulant dependence: findings from the Global Burden of Disease Study 2010.
Louisa Degenhardt, Amanda J Baxter, Yong Yi Lee, Wayne Hall, Grant E Sara, Nicole Johns, Abraham Flaxman, Harvey A Whiteford, Theo Vos. Drug Alcohol Depend 2014
93
11

Genetically determined differences in learning from errors.
Tilmann A Klein, Jane Neumann, Martin Reuter, Jürgen Hennig, D Yves von Cramon, Markus Ullsperger. Science 2007
287
11



Previous cocaine self-administration disrupts reward expectancy encoding in ventral striatum.
Amanda C Burton, Gregory B Bissonette, Daniela Vazquez, Elyse M Blume, Maria Donnelly, Kendall C Heatley, Abhishek Hinduja, Matthew R Roesch. Neuropsychopharmacology 2018
14
11

Cocaine-experienced rats exhibit learning deficits in a task sensitive to orbitofrontal cortex lesions.
Geoffrey Schoenbaum, Michael P Saddoris, Seth J Ramus, Yavin Shaham, Barry Setlow. Eur J Neurosci 2004
155
11

Decreased striatal dopaminergic responsiveness in detoxified cocaine-dependent subjects.
N D Volkow, G J Wang, J S Fowler, J Logan, S J Gatley, R Hitzemann, A D Chen, S L Dewey, N Pappas. Nature 1997
620
11


Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans.
Mathias Pessiglione, Ben Seymour, Guillaume Flandin, Raymond J Dolan, Chris D Frith. Nature 2006
861
11


Impairments in reinforcement learning do not explain enhanced habit formation in cocaine use disorder.
T V Lim, R N Cardinal, G Savulich, P S Jones, A A Moustafa, T W Robbins, K D Ersche. Psychopharmacology (Berl) 2019
9
11

Striatal dopamine predicts outcome-specific reversal learning and its sensitivity to dopaminergic drug administration.
Roshan Cools, Michael J Frank, Sasha E Gibbs, Asako Miyakawa, William Jagust, Mark D'Esposito. J Neurosci 2009
249
11

Amisulpride is a potent 5-HT7 antagonist: relevance for antidepressant actions in vivo.
Atheir I Abbas, Peter B Hedlund, Xi-Ping Huang, Thuy B Tran, Herbert Y Meltzer, Bryan L Roth. Psychopharmacology (Berl) 2009
192
11


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.