A citation-based method for searching scientific literature

Yong Gu, Dora E Angelaki, Gregory C Deangelis. Nat Neurosci 2008
Times Cited: 316







List of co-cited articles
1106 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity



Neural correlates of reliability-based cue weighting during multisensory integration.
Christopher R Fetsch, Alexandre Pouget, Gregory C DeAngelis, Dora E Angelaki. Nat Neurosci 2011
216
35

Dynamic reweighting of visual and vestibular cues during self-motion perception.
Christopher R Fetsch, Amanda H Turner, Gregory C DeAngelis, Dora E Angelaki. J Neurosci 2009
221
30

Visual and nonvisual contributions to three-dimensional heading selectivity in the medial superior temporal area.
Yong Gu, Paul V Watkins, Dora E Angelaki, Gregory C DeAngelis. J Neurosci 2006
194
26

Bayesian integration of visual and vestibular signals for heading.
John S Butler, Stuart T Smith, Jennifer L Campos, Heinrich H Bülthoff. J Vis 2010
135
25



Multisensory integration in macaque visual cortex depends on cue reliability.
Michael L Morgan, Gregory C Deangelis, Dora E Angelaki. Neuron 2008
122
20

Causal inference in multisensory perception.
Konrad P Körding, Ulrik Beierholm, Wei Ji Ma, Steven Quartz, Joshua B Tenenbaum, Ladan Shams. PLoS One 2007
437
20

A functional link between area MSTd and heading perception based on vestibular signals.
Yong Gu, Gregory C DeAngelis, Dora E Angelaki. Nat Neurosci 2007
207
20

Representation of vestibular and visual cues to self-motion in ventral intraparietal cortex.
Aihua Chen, Gregory C DeAngelis, Dora E Angelaki. J Neurosci 2011
108
19


Bayesian inference with probabilistic population codes.
Wei Ji Ma, Jeffrey M Beck, Peter E Latham, Alexandre Pouget. Nat Neurosci 2006
670
18

Multisensory integration: current issues from the perspective of the single neuron.
Barry E Stein, Terrence R Stanford. Nat Rev Neurosci 2008
714
17

Multisensory integration: psychophysics, neurophysiology, and computation.
Dora E Angelaki, Yong Gu, Gregory C DeAngelis. Curr Opin Neurobiol 2009
174
15

A simple approach to ignoring irrelevant variables by population decoding based on multisensory neurons.
HyungGoo R Kim, Xaq Pitkow, Dora E Angelaki, Gregory C DeAngelis. J Neurophysiol 2016
21
71

A relationship between behavioral choice and the visual responses of neurons in macaque MT.
K H Britten, W T Newsome, M N Shadlen, S Celebrini, J A Movshon. Vis Neurosci 1996
681
15

Bridging the gap between theories of sensory cue integration and the physiology of multisensory neurons.
Christopher R Fetsch, Gregory C DeAngelis, Dora E Angelaki. Nat Rev Neurosci 2013
135
14


The Bayesian brain: the role of uncertainty in neural coding and computation.
David C Knill, Alexandre Pouget. Trends Neurosci 2004
863
13

Merging the senses into a robust percept.
Marc O Ernst, Heinrich H Bülthoff. Trends Cogn Sci 2004
800
13


Evidence for a Causal Contribution of Macaque Vestibular, But Not Intraparietal, Cortex to Heading Perception.
Aihua Chen, Yong Gu, Sheng Liu, Gregory C DeAngelis, Dora E Angelaki. J Neurosci 2016
38
34


Mechanisms of self-motion perception.
Kenneth H Britten. Annu Rev Neurosci 2008
140
12

Multimodal coding of three-dimensional rotation and translation in area MSTd: comparison of visual and vestibular selectivity.
Katsumasa Takahashi, Yong Gu, Paul J May, Shawn D Newlands, Gregory C DeAngelis, Dora E Angelaki. J Neurosci 2007
112
12


Visual-vestibular cue integration for heading perception: applications of optimal cue integration theory.
Christopher R Fetsch, Gregory C Deangelis, Dora E Angelaki. Eur J Neurosci 2010
70
17

How Can Single Sensory Neurons Predict Behavior?
Xaq Pitkow, Sheng Liu, Dora E Angelaki, Gregory C DeAngelis, Alexandre Pouget. Neuron 2015
70
15

The Psychophysics Toolbox.
D H Brainard. Spat Vis 1997
11

Macaque parieto-insular vestibular cortex: responses to self-motion and optic flow.
Aihua Chen, Gregory C DeAngelis, Dora E Angelaki. J Neurosci 2010
105
11


Vestibular inputs to human motion-sensitive visual cortex.
Andrew T Smith, Matthew B Wall, Kai V Thilo. Cereb Cortex 2012
78
14

Measurement and modeling of depth cue combination: in defense of weak fusion.
M S Landy, L T Maloney, E B Johnston, M Young. Vision Res 1995
570
10

Multisensory decision-making in rats and humans.
David Raposo, John P Sheppard, Paul R Schrater, Anne K Churchland. J Neurosci 2012
103
10

Feedforward and feedback sources of choice probability in neural population responses.
Bruce G Cumming, Hendrikje Nienborg. Curr Opin Neurobiol 2016
39
25

Optimal multisensory decision-making in a reaction-time task.
Jan Drugowitsch, Gregory C DeAngelis, Eliana M Klier, Dora E Angelaki, Alexandre Pouget. Elife 2014
58
17


Decoding of MSTd population activity accounts for variations in the precision of heading perception.
Yong Gu, Christopher R Fetsch, Babatunde Adeyemo, Gregory C Deangelis, Dora E Angelaki. Neuron 2010
94
10

The analysis of visual motion: a comparison of neuronal and psychophysical performance.
K H Britten, M N Shadlen, W T Newsome, J A Movshon. J Neurosci 1992
10


The representation of egomotion in the human brain.
Matthew B Wall, Andrew T Smith. Curr Biol 2008
141
10



Visual and vestibular cue integration for heading perception in extrastriate visual cortex.
Dora E Angelaki, Yong Gu, Gregory C Deangelis. J Physiol 2011
53
18

Causal inference in perception.
Ladan Shams, Ulrik R Beierholm. Trends Cogn Sci 2010
149
10

Visual-vestibular interactive responses in the macaque ventral intraparietal area (VIP).
Frank Bremmer, François Klam, Jean-René Duhamel, Suliann Ben Hamed, Werner Graf. Eur J Neurosci 2002
223
10

A normalization model of multisensory integration.
Tomokazu Ohshiro, Dora E Angelaki, Gregory C DeAngelis. Nat Neurosci 2011
141
9

Evaluating the operations underlying multisensory integration in the cat superior colliculus.
Terrence R Stanford, Stephan Quessy, Barry E Stein. J Neurosci 2005
178
9

A category-free neural population supports evolving demands during decision-making.
David Raposo, Matthew T Kaufman, Anne K Churchland. Nat Neurosci 2014
208
9


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.