A citation-based method for searching scientific literature

Wei Ji Ma, Jeffrey M Beck, Peter E Latham, Alexandre Pouget. Nat Neurosci 2006
Times Cited: 659







List of co-cited articles
831 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
828
23

Neural Variability and Sampling-Based Probabilistic Representations in the Visual Cortex.
Gergő Orbán, Pietro Berkes, József Fiser, Máté Lengyel. Neuron 2016
61
32


Statistically optimal perception and learning: from behavior to neural representations.
József Fiser, Pietro Berkes, Gergo Orbán, Máté Lengyel. Trends Cogn Sci 2010
287
19

Bayesian integration in sensorimotor learning.
Konrad P Körding, Daniel M Wolpert. Nature 2004
850
19

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
327
17

Probabilistic brains: knowns and unknowns.
Alexandre Pouget, Jeffrey M Beck, Wei Ji Ma, Peter E Latham. Nat Neurosci 2013
209
15

Neural coding of uncertainty and probability.
Wei Ji Ma, Mehrdad Jazayeri. Annu Rev Neurosci 2014
102
15

Neural correlates of reliability-based cue weighting during multisensory integration.
Christopher R Fetsch, Alexandre Pouget, Gregory C DeAngelis, Dora E Angelaki. Nat Neurosci 2011
210
14


Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment.
Pietro Berkes, Gergo Orbán, Máté Lengyel, József Fiser. Science 2011
308
13

Causal inference in multisensory perception.
Konrad P Körding, Ulrik Beierholm, Wei Ji Ma, Steven Quartz, Joshua B Tenenbaum, Ladan Shams. PLoS One 2007
425
12

Optimal representation of sensory information by neural populations.
Mehrdad Jazayeri, J Anthony Movshon. Nat Neurosci 2006
301
12

Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
756
11

Information-limiting correlations.
Rubén Moreno-Bote, Jeffrey Beck, Ingmar Kanitscheider, Xaq Pitkow, Peter Latham, Alexandre Pouget. Nat Neurosci 2014
224
11


Inference and computation with population codes.
Alexandre Pouget, Peter Dayan, Richard S Zemel. Annu Rev Neurosci 2003
251
10

Confidence and certainty: distinct probabilistic quantities for different goals.
Alexandre Pouget, Jan Drugowitsch, Adam Kepecs. Nat Neurosci 2016
134
10

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
130
10

Perceptual Decision-Making as Probabilistic Inference by Neural Sampling.
Ralf M Haefner, Pietro Berkes, József Fiser. Neuron 2016
65
15

Multisensory integration: current issues from the perspective of the single neuron.
Barry E Stein, Terrence R Stanford. Nat Rev Neurosci 2008
693
9

Neural correlations, population coding and computation.
Bruno B Averbeck, Peter E Latham, Alexandre Pouget. Nat Rev Neurosci 2006
816
9

Noise in the nervous system.
A Aldo Faisal, Luc P J Selen, Daniel M Wolpert. Nat Rev Neurosci 2008
9

The effect of noise correlations in populations of diversely tuned neurons.
Alexander S Ecker, Philipp Berens, Andreas S Tolias, Matthias Bethge. J Neurosci 2011
136
9

Object perception as Bayesian inference.
Daniel Kersten, Pascal Mamassian, Alan Yuille. Annu Rev Psychol 2004
563
8

Neural correlates of multisensory cue integration in macaque MSTd.
Yong Gu, Dora E Angelaki, Gregory C Deangelis. Nat Neurosci 2008
306
8

The Psychophysics Toolbox.
D H Brainard. Spat Vis 1997
8

Sensory uncertainty decoded from visual cortex predicts behavior.
Ruben S van Bergen, Wei Ji Ma, Michael S Pratte, Janneke F M Jehee. Nat Neurosci 2015
50
16

Cardinal rules: visual orientation perception reflects knowledge of environmental statistics.
Ahna R Girshick, Michael S Landy, Eero P Simoncelli. Nat Neurosci 2011
240
8


Causal inference in perception.
Ladan Shams, Ulrik R Beierholm. Trends Cogn Sci 2010
145
7


Canonical microcircuits for predictive coding.
Andre M Bastos, W Martin Usrey, Rick A Adams, George R Mangun, Pascal Fries, Karl J Friston. Neuron 2012
845
7

Confidence as Bayesian Probability: From Neural Origins to Behavior.
Florent Meyniel, Mariano Sigman, Zachary F Mainen. Neuron 2015
87
8

Is neocortex essentially multisensory?
Asif A Ghazanfar, Charles E Schroeder. Trends Cogn Sci 2006
733
7


Metacognition in human decision-making: confidence and error monitoring.
Nick Yeung, Christopher Summerfield. Philos Trans R Soc Lond B Biol Sci 2012
200
7

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
106
7

Measuring and interpreting neuronal correlations.
Marlene R Cohen, Adam Kohn. Nat Neurosci 2011
498
7

Correlations and Neuronal Population Information.
Adam Kohn, Ruben Coen-Cagli, Ingmar Kanitscheider, Alexandre Pouget. Annu Rev Neurosci 2016
116
7

Motion illusions as optimal percepts.
Yair Weiss, Eero P Simoncelli, Edward H Adelson. Nat Neurosci 2002
511
7

Simple models for reading neuronal population codes.
H S Seung, H Sompolinsky. Proc Natl Acad Sci U S A 1993
377
7

How to grow a mind: statistics, structure, and abstraction.
Joshua B Tenenbaum, Charles Kemp, Thomas L Griffiths, Noah D Goodman. Science 2011
386
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
908
7


A normalization model of multisensory integration.
Tomokazu Ohshiro, Dora E Angelaki, Gregory C DeAngelis. Nat Neurosci 2011
138
6


Bayesian comparison of explicit and implicit causal inference strategies in multisensory heading perception.
Luigi Acerbi, Kalpana Dokka, Dora E Angelaki, Wei Ji Ma. PLoS Comput Biol 2018
21
28


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.