A citation-based method for searching scientific literature

Charles D Gilbert, Wu Li. Nat Rev Neurosci 2013
Times Cited: 395







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



Times Cited
  Times     Co-cited
Similarity




Hierarchical Bayesian inference in the visual cortex.
Tai Sing Lee, David Mumford. J Opt Soc Am A Opt Image Sci Vis 2003
506
13


The free-energy principle: a unified brain theory?
Karl Friston. Nat Rev Neurosci 2010
13

Canonical microcircuits for predictive coding.
Andre M Bastos, W Martin Usrey, Rick A Adams, George R Mangun, Pascal Fries, Karl J Friston. Neuron 2012
830
12

Neural mechanisms of selective visual attention.
R Desimone, J Duncan. Annu Rev Neurosci 1995
12

Control of goal-directed and stimulus-driven attention in the brain.
Maurizio Corbetta, Gordon L Shulman. Nat Rev Neurosci 2002
10



Top-down facilitation of visual recognition.
M Bar, K S Kassam, A S Ghuman, J Boshyan, A M Schmid, A M Dale, M S Hämäläinen, K Marinkovic, D L Schacter, B R Rosen,[...]. Proc Natl Acad Sci U S A 2006
847
10

Anatomy of hierarchy: feedforward and feedback pathways in macaque visual cortex.
Nikola T Markov, Julien Vezoli, Pascal Chameau, Arnaud Falchier, René Quilodran, Cyril Huissoud, Camille Lamy, Pierre Misery, Pascale Giroud, Shimon Ullman,[...]. J Comp Neurol 2014
263
10

Selective attention. Long-range and local circuits for top-down modulation of visual cortex processing.
Siyu Zhang, Min Xu, Tsukasa Kamigaki, Johnny Phong Hoang Do, Wei-Cheng Chang, Sean Jenvay, Kazunari Miyamichi, Liqun Luo, Yang Dan. Science 2014
322
10

Cortical connectivity and sensory coding.
Kenneth D Harris, Thomas D Mrsic-Flogel. Nature 2013
271
9

Brain states: top-down influences in sensory processing.
Charles D Gilbert, Mariano Sigman. Neuron 2007
456
9

How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
512
9


Cortical feedback improves discrimination between figure and background by V1, V2 and V3 neurons.
J M Hupé, A C James, B R Payne, S G Lomber, P Girard, J Bullier. Nature 1998
531
8

Visual areas exert feedforward and feedback influences through distinct frequency channels.
André Moraes Bastos, Julien Vezoli, Conrado Arturo Bosman, Jan-Mathijs Schoffelen, Robert Oostenveld, Jarrod Robert Dowdall, Peter De Weerd, Henry Kennedy, Pascal Fries. Neuron 2015
483
8

A cortical circuit for gain control by behavioral state.
Yu Fu, Jason M Tucciarone, J Sebastian Espinosa, Nengyin Sheng, Daniel P Darcy, Roger A Nicoll, Z Josh Huang, Michael P Stryker. Cell 2014
432
8

A Sensorimotor Circuit in Mouse Cortex for Visual Flow Predictions.
Marcus Leinweber, Daniel R Ward, Jan M Sobczak, Alexander Attinger, Georg B Keller. Neuron 2017
85
9

Selective Activation of the Deep Layers of the Human Primary Visual Cortex by Top-Down Feedback.
Peter Kok, Lauren J Bains, Tim van Mourik, David G Norris, Floris P de Lange. Curr Biol 2016
141
7

Expectation (and attention) in visual cognition.
Christopher Summerfield, Tobias Egner. Trends Cogn Sci 2009
450
7

Predictive codes for forthcoming perception in the frontal cortex.
Christopher Summerfield, Tobias Egner, Matthew Greene, Etienne Koechlin, Jennifer Mangels, Joy Hirsch. Science 2006
298
7

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
7

The neocortical circuit: themes and variations.
Kenneth D Harris, Gordon M G Shepherd. Nat Neurosci 2015
371
7

Contextual Feedback to Superficial Layers of V1.
Lars Muckli, Federico De Martino, Luca Vizioli, Lucy S Petro, Fraser W Smith, Kamil Ugurbil, Rainer Goebel, Essa Yacoub. Curr Biol 2015
149
6

Integrated model of visual processing.
J Bullier. Brain Res Brain Res Rev 2001
559
6

The importance of being hierarchical.
Nikola T Markov, Henry Kennedy. Curr Opin Neurobiol 2013
76
7

The neural mechanisms of top-down attentional control.
J B Hopfinger, M H Buonocore, G R Mangun. Nat Neurosci 2000
6


Expectation in perceptual decision making: neural and computational mechanisms.
Christopher Summerfield, Floris P de Lange. Nat Rev Neurosci 2014
298
6


Early recurrent feedback facilitates visual object recognition under challenging conditions.
Dean Wyatte, David J Jilk, Randall C O'Reilly. Front Psychol 2014
36
16

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
296
6

Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas.
Georgios Michalareas, Julien Vezoli, Stan van Pelt, Jan-Mathijs Schoffelen, Henry Kennedy, Pascal Fries. Neuron 2016
258
6


Integration of visual motion and locomotion in mouse visual cortex.
Aman B Saleem, Aslı Ayaz, Kathryn J Jeffery, Kenneth D Harris, Matteo Carandini. Nat Neurosci 2013
171
6

Predictive Processing: A Canonical Cortical Computation.
Georg B Keller, Thomas D Mrsic-Flogel. Neuron 2018
92
6

Sensorimotor mismatch signals in primary visual cortex of the behaving mouse.
Georg B Keller, Tobias Bonhoeffer, Mark Hübener. Neuron 2012
238
6

Top-down feedback controls spatial summation and response amplitude in primate visual cortex.
Lauri Nurminen, Sam Merlin, Maryam Bijanzadeh, Frederick Federer, Alessandra Angelucci. Nat Commun 2018
46
13



The representation of perceived angular size in human primary visual cortex.
Scott O Murray, Huseyin Boyaci, Daniel Kersten. Nat Neurosci 2006
230
5

A theory of cortical responses.
Karl Friston. Philos Trans R Soc Lond B Biol Sci 2005
5


Perceptual learning and top-down influences in primary visual cortex.
Wu Li, Valentin Piëch, Charles D Gilbert. Nat Neurosci 2004
299
5

Visual objects in context.
Moshe Bar. Nat Rev Neurosci 2004
711
5

Cortical high-density counterstream architectures.
Nikola T Markov, Mária Ercsey-Ravasz, David C Van Essen, Kenneth Knoblauch, Zoltán Toroczkai, Henry Kennedy. Science 2013
231
5

Separate visual pathways for perception and action.
M A Goodale, A D Milner. Trends Neurosci 1992
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.