A citation-based method for searching scientific literature

Alexandre Pouget, Jeffrey M Beck, Wei Ji Ma, Peter E Latham. Nat Neurosci 2013
Times Cited: 213







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



Times Cited
  Times     Co-cited
Similarity


The Bayesian brain: the role of uncertainty in neural coding and computation.
David C Knill, Alexandre Pouget. Trends Neurosci 2004
839
23


Bayesian inference with probabilistic population codes.
Wei Ji Ma, Jeffrey M Beck, Peter E Latham, Alexandre Pouget. Nat Neurosci 2006
664
23

Statistically optimal perception and learning: from behavior to neural representations.
József Fiser, Pietro Berkes, Gergo Orbán, Máté Lengyel. Trends Cogn Sci 2010
291
22

Neural coding of uncertainty and probability.
Wei Ji Ma, Mehrdad Jazayeri. Annu Rev Neurosci 2014
106
19

The free-energy principle: a unified brain theory?
Karl Friston. Nat Rev Neurosci 2010
19


Bayesian integration in sensorimotor learning.
Konrad P Körding, Daniel M Wolpert. Nature 2004
853
16

Hierarchical Bayesian inference in the visual cortex.
Tai Sing Lee, David Mumford. J Opt Soc Am A Opt Image Sci Vis 2003
518
13

Not noisy, just wrong: the role of suboptimal inference in behavioral variability.
Jeffrey M Beck, Wei Ji Ma, Xaq Pitkow, Peter E Latham, Alexandre Pouget. Neuron 2012
133
12

Probabilistic population codes for Bayesian decision making.
Jeffrey M Beck, Wei Ji Ma, Roozbeh Kiani, Tim Hanks, Anne K Churchland, Jamie Roitman, Michael N Shadlen, Peter E Latham, Alexandre Pouget. Neuron 2008
329
12


The neural basis of decision making.
Joshua I Gold, Michael N Shadlen. Annu Rev Neurosci 2007
11

How to grow a mind: statistics, structure, and abstraction.
Joshua B Tenenbaum, Charles Kemp, Thomas L Griffiths, Noah D Goodman. Science 2011
388
10

Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment.
Pietro Berkes, Gergo Orbán, Máté Lengyel, József Fiser. Science 2011
310
10

A theory of cortical responses.
Karl Friston. Philos Trans R Soc Lond B Biol Sci 2005
10

The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks.
Rafal Bogacz, Eric Brown, Jeff Moehlis, Philip Holmes, Jonathan D Cohen. Psychol Rev 2006
732
10


Temporal context calibrates interval timing.
Mehrdad Jazayeri, Michael N Shadlen. Nat Neurosci 2010
305
9

A neural substrate of prediction and reward.
W Schultz, P Dayan, P R Montague. Science 1997
9

Neural Variability and Sampling-Based Probabilistic Representations in the Visual Cortex.
Gergő Orbán, Pietro Berkes, József Fiser, Máté Lengyel. Neuron 2016
62
14

Causal inference in multisensory perception.
Konrad P Körding, Ulrik Beierholm, Wei Ji Ma, Steven Quartz, Joshua B Tenenbaum, Ladan Shams. PLoS One 2007
427
9

Organizing probabilistic models of perception.
Wei Ji Ma. Trends Cogn Sci 2012
77
11


Cardinal rules: visual orientation perception reflects knowledge of environmental statistics.
Ahna R Girshick, Michael S Landy, Eero P Simoncelli. Nat Neurosci 2011
245
8

Motion illusions as optimal percepts.
Yair Weiss, Eero P Simoncelli, Edward H Adelson. Nat Neurosci 2002
512
8

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
8

Bayesian model selection for group studies.
Klaas Enno Stephan, Will D Penny, Jean Daunizeau, Rosalyn J Moran, Karl J Friston. Neuroimage 2009
794
8

Vision as Bayesian inference: analysis by synthesis?
Alan Yuille, Daniel Kersten. Trends Cogn Sci 2006
275
8

Noise in the nervous system.
A Aldo Faisal, Luc P J Selen, Daniel M Wolpert. Nat Rev Neurosci 2008
7

The Psychophysics Toolbox.
D H Brainard. Spat Vis 1997
7

An internal model for sensorimotor integration.
D M Wolpert, Z Ghahramani, M I Jordan. Science 1995
7

Bayesian just-so stories in psychology and neuroscience.
Jeffrey S Bowers, Colin J Davis. Psychol Bull 2012
136
7

Perceptual Decision-Making as Probabilistic Inference by Neural Sampling.
Ralf M Haefner, Pietro Berkes, József Fiser. Neuron 2016
68
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
868
7

A bayesian foundation for individual learning under uncertainty.
Christoph Mathys, Jean Daunizeau, Karl J Friston, Klaas E Stephan. Front Hum Neurosci 2011
242
7


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
917
7

Object perception as Bayesian inference.
Daniel Kersten, Pascal Mamassian, Alan Yuille. Annu Rev Psychol 2004
565
7

Causal inference in perception.
Ladan Shams, Ulrik R Beierholm. Trends Cogn Sci 2010
148
7

Experience can change the 'light-from-above' prior.
Wendy J Adams, Erich W Graf, Marc O Ernst. Nat Neurosci 2004
207
6

Probabilistic models of cognition: conceptual foundations.
Nick Chater, Joshua B Tenenbaum, Alan Yuille. Trends Cogn Sci 2006
128
6

Suboptimality in perceptual decision making.
Dobromir Rahnev, Rachel N Denison. Behav Brain Sci 2018
56
10

Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons.
Lars Buesing, Johannes Bill, Bernhard Nessler, Wolfgang Maass. PLoS Comput Biol 2011
107
6

Confidence as Bayesian Probability: From Neural Origins to Behavior.
Florent Meyniel, Mariano Sigman, Zachary F Mainen. Neuron 2015
88
6

Confidence and certainty: distinct probabilistic quantities for different goals.
Alexandre Pouget, Jan Drugowitsch, Adam Kepecs. Nat Neurosci 2016
137
6

Computational Precision of Mental Inference as Critical Source of Human Choice Suboptimality.
Jan Drugowitsch, Valentin Wyart, Anne-Dominique Devauchelle, Etienne Koechlin. Neuron 2016
61
9

Neural correlations, population coding and computation.
Bruno B Averbeck, Peter E Latham, Alexandre Pouget. Nat Rev Neurosci 2006
823
5

The Helmholtz machine.
P Dayan, G E Hinton, R M Neal, R S Zemel. Neural Comput 1995
382
5

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
201
5


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.