A citation-based method for searching scientific literature

Angela J Yu, Peter Dayan. Neuron 2005
Times Cited: 821







List of co-cited articles
1057 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


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
926
28

Rational regulation of learning dynamics by pupil-linked arousal systems.
Matthew R Nassar, Katherine M Rumsey, Robert C Wilson, Kinjan Parikh, Benjamin Heasly, Joshua I Gold. Nat Neurosci 2012
284
22



An approximately Bayesian delta-rule model explains the dynamics of belief updating in a changing environment.
Matthew R Nassar, Robert C Wilson, Benjamin Heasly, Joshua I Gold. J Neurosci 2010
205
15

Pupil fluctuations track rapid changes in adrenergic and cholinergic activity in cortex.
Jacob Reimer, Matthew J McGinley, Yang Liu, Charles Rodenkirch, Qi Wang, David A McCormick, Andreas S Tolias. Nat Commun 2016
255
15

The free-energy principle: a unified brain theory?
Karl Friston. Nat Rev Neurosci 2010
14

A neural substrate of prediction and reward.
W Schultz, P Dayan, P R Montague. Science 1997
14


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
126
14

A theory of cortical responses.
Karl Friston. Philos Trans R Soc Lond B Biol Sci 2005
13


Pupil Dilation Signals Surprise: Evidence for Noradrenaline's Role in Decision Making.
Kerstin Preuschoff, Bernard Marius 't Hart, Wolfgang Einhäuser. Front Neurosci 2011
211
13

Attention, uncertainty, and free-energy.
Harriet Feldman, Karl J Friston. Front Hum Neurosci 2010
525
12

A bayesian foundation for individual learning under uncertainty.
Christoph Mathys, Jean Daunizeau, Karl J Friston, Klaas E Stephan. Front Hum Neurosci 2011
246
12


Adults with autism overestimate the volatility of the sensory environment.
Rebecca P Lawson, Christoph Mathys, Geraint Rees. Nat Neurosci 2017
127
11


Dynamic modulation of decision biases by brainstem arousal systems.
Jan Willem de Gee, Olympia Colizoli, Niels A Kloosterman, Tomas Knapen, Sander Nieuwenhuis, Tobias H Donner. Elife 2017
95
9


The computational anatomy of psychosis.
Rick A Adams, Klaas Enno Stephan, Harriet R Brown, Christopher D Frith, Karl J Friston. Front Psychiatry 2013
347
9

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
127
9

Functionally dissociable influences on learning rate in a dynamic environment.
Joseph T McGuire, Matthew R Nassar, Joshua I Gold, Joseph W Kable. Neuron 2014
94
9

Adaptive learning under expected and unexpected uncertainty.
Alireza Soltani, Alicia Izquierdo. Nat Rev Neurosci 2019
46
19

The Psychophysics Toolbox.
D H Brainard. Spat Vis 1997
9

An aberrant precision account of autism.
Rebecca P Lawson, Geraint Rees, Karl J Friston. Front Hum Neurosci 2014
248
8

Pharmacological Fingerprints of Contextual Uncertainty.
Louise Marshall, Christoph Mathys, Diane Ruge, Archy O de Berker, Peter Dayan, Klaas E Stephan, Sven Bestmann. PLoS Biol 2016
51
15

Should I stay or should I go? How the human brain manages the trade-off between exploitation and exploration.
Jonathan D Cohen, Samuel M McClure, Angela J Yu. Philos Trans R Soc Lond B Biol Sci 2007
395
8

Canonical microcircuits for predictive coding.
Andre M Bastos, W Martin Usrey, Rick A Adams, George R Mangun, Pascal Fries, Karl J Friston. Neuron 2012
899
8

Cortical substrates for exploratory decisions in humans.
Nathaniel D Daw, John P O'Doherty, Peter Dayan, Ben Seymour, Raymond J Dolan. Nature 2006
997
8



Active control of arousal by a locus coeruleus GABAergic circuit.
Vincent Breton-Provencher, Mriganka Sur. Nat Neurosci 2019
62
12

Arousal-related adjustments of perceptual biases optimize perception in dynamic environments.
Kamesh Krishnamurthy, Matthew R Nassar, Shilpa Sarode, Joshua I Gold. Nat Hum Behav 2017
33
24



The effects of neural gain on attention and learning.
Eran Eldar, Jonathan D Cohen, Yael Niv. Nat Neurosci 2013
197
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
162
8


Pupil Size as a Window on Neural Substrates of Cognition.
Siddhartha Joshi, Joshua I Gold. Trends Cogn Sci 2020
35
22

Dissociable effects of surprise and model update in parietal and anterior cingulate cortex.
Jill X O'Reilly, Urs Schüffelgen, Steven F Cuell, Timothy E J Behrens, Rogier B Mars, Matthew F S Rushworth. Proc Natl Acad Sci U S A 2013
164
8


Balancing New against Old Information: The Role of Puzzlement Surprise in Learning.
Mohammadjavad Faraji, Kerstin Preuschoff, Wulfram Gerstner. Neural Comput 2018
17
41


Bayesian surprise attracts human attention.
Laurent Itti, Pierre Baldi. Vision Res 2009
255
7

The neural representation of unexpected uncertainty during value-based decision making.
Elise Payzan-LeNestour, Simon Dunne, Peter Bossaerts, John P O'Doherty. Neuron 2013
113
7

The neural basis of decision making.
Joshua I Gold, Michael N Shadlen. Annu Rev Neurosci 2007
7

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
687
7

The Bayesian brain: the role of uncertainty in neural coding and computation.
David C Knill, Alexandre Pouget. Trends Neurosci 2004
860
7

Waking State: Rapid Variations Modulate Neural and Behavioral Responses.
Matthew J McGinley, Martin Vinck, Jacob Reimer, Renata Batista-Brito, Edward Zagha, Cathryn R Cadwell, Andreas S Tolias, Jessica A Cardin, David A McCormick. Neuron 2015
281
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.