A citation-based method for searching scientific literature

Gert Van den Bergh, Bin Zhang, Lutgarde Arckens, Yuzo M Chino. J Comp Neurol 2010
Times Cited: 73







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



Times Cited
  Times     Co-cited
Similarity


Highly selective receptive fields in mouse visual cortex.
Cristopher M Niell, Michael P Stryker. J Neurosci 2008
591
60

Area map of mouse visual cortex.
Quanxin Wang, Andreas Burkhalter. J Comp Neurol 2007
282
42

Functional specialization of seven mouse visual cortical areas.
James H Marshel, Marina E Garrett, Ian Nauhaus, Edward M Callaway. Neuron 2011
226
35

Parallel input channels to mouse primary visual cortex.
Enquan Gao, Gregory C DeAngelis, Andreas Burkhalter. J Neurosci 2010
85
32


Functional specialization of mouse higher visual cortical areas.
Mark L Andermann, Aaron M Kerlin, Demetris K Roumis, Lindsey L Glickfeld, R Clay Reid. Neuron 2011
234
31

Gateways of ventral and dorsal streams in mouse visual cortex.
Quanxin Wang, Enquan Gao, Andreas Burkhalter. J Neurosci 2011
125
27

Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex.
Kenichi Ohki, Sooyoung Chung, Yeang H Ch'ng, Prakash Kara, R Clay Reid. Nature 2005
705
27

A neural circuit for spatial summation in visual cortex.
Hillel Adesnik, William Bruns, Hiroki Taniguchi, Z Josh Huang, Massimo Scanziani. Nature 2012
354
27


The Psychophysics Toolbox.
D H Brainard. Spat Vis 1997
26

Functional specificity of local synaptic connections in neocortical networks.
Ho Ko, Sonja B Hofer, Bruno Pichler, Katherine A Buchanan, P Jesper Sjöström, Thomas D Mrsic-Flogel. Nature 2011
449
23

Mapping retinotopic structure in mouse visual cortex with optical imaging.
Sven Schuett, Tobias Bonhoeffer, Mark Hübener. J Neurosci 2002
156
21




Local diversity and fine-scale organization of receptive fields in mouse visual cortex.
Vincent Bonin, Mark H Histed, Sergey Yurgenson, R Clay Reid. J Neurosci 2011
142
20


Nature and interaction of signals from the receptive field center and surround in macaque V1 neurons.
James R Cavanaugh, Wyeth Bair, J Anthony Movshon. J Neurophysiol 2002
506
19



Receptive field properties of single neurons in rat primary visual cortex.
S V Girman, Y Sauvé, R D Lund. J Neurophysiol 1999
188
17

Broadly tuned response properties of diverse inhibitory neuron subtypes in mouse visual cortex.
Aaron M Kerlin, Mark L Andermann, Vladimir K Berezovskii, R Clay Reid. Neuron 2010
350
17


What can mice tell us about how vision works?
Andrew D Huberman, Cristopher M Niell. Trends Neurosci 2011
168
17

Diverse visual features encoded in mouse lateral geniculate nucleus.
Denise M Piscopo, Rana N El-Danaf, Andrew D Huberman, Cristopher M Niell. J Neurosci 2013
193
17

Visual representations by cortical somatostatin inhibitory neurons--selective but with weak and delayed responses.
Wen-pei Ma, Bao-hua Liu, Ya-tang Li, Z Josh Huang, Li I Zhang, Huizhong W Tao. J Neurosci 2010
144
16


Orientation selectivity in macaque V1: diversity and laminar dependence.
Dario L Ringach, Robert M Shapley, Michael J Hawken. J Neurosci 2002
381
15

Contrast's effect on spatial summation by macaque V1 neurons.
M P Sceniak, D L Ringach, M J Hawken, R Shapley. Nat Neurosci 1999
414
15


Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
792
15

Orientation-tuned surround suppression in mouse visual cortex.
Matthew W Self, Jeannette A M Lorteije, Joris Vangeneugden, Enny H van Beest, Mihaela E Grigore, Christiaan N Levelt, J Alexander Heimel, Pieter R Roelfsema. J Neurosci 2014
48
22

Hierarchical organization of areas in rat visual cortex.
T A Coogan, A Burkhalter. J Neurosci 1993
188
13

Visual receptive field structure of cortical inhibitory neurons revealed by two-photon imaging guided recording.
Bao-hua Liu, Pingyang Li, Ya-tang Li, Yujiao J Sun, Yuchio Yanagawa, Kunihiko Obata, Li I Zhang, Huizhong W Tao. J Neurosci 2009
112
13

Comparison of spatial summation properties of neurons in macaque V1 and V2.
S Shushruth, Jennifer M Ichida, Jonathan B Levitt, Alessandra Angelucci. J Neurophysiol 2009
82
13

Parvalbumin-expressing interneurons linearly transform cortical responses to visual stimuli.
Bassam V Atallah, William Bruns, Matteo Carandini, Massimo Scanziani. Neuron 2012
349
13

Classifying simple and complex cells on the basis of response modulation.
B C Skottun, R L De Valois, D H Grosof, J A Movshon, D G Albrecht, A B Bonds. Vision Res 1991
499
13


Inhibitory stabilization of the cortical network underlies visual surround suppression.
Hirofumi Ozeki, Ian M Finn, Evan S Schaffer, Kenneth D Miller, David Ferster. Neuron 2009
223
13


Spatial integration in mouse primary visual cortex.
Agne Vaiceliunaite, Sinem Erisken, Florian Franzen, Steffen Katzner, Laura Busse. J Neurophysiol 2013
55
18

Activation of specific interneurons improves V1 feature selectivity and visual perception.
Seung-Hee Lee, Alex C Kwan, Siyu Zhang, Victoria Phoumthipphavong, John G Flannery, Sotiris C Masmanidis, Hiroki Taniguchi, Z Josh Huang, Feng Zhang, Edward S Boyden,[...]. Nature 2012
338
13

Cortico-cortical projections in mouse visual cortex are functionally target specific.
Lindsey L Glickfeld, Mark L Andermann, Vincent Bonin, R Clay Reid. Nat Neurosci 2013
166
13


Parallel processing strategies of the primate visual system.
Jonathan J Nassi, Edward M Callaway. Nat Rev Neurosci 2009
353
12

Response features of parvalbumin-expressing interneurons suggest precise roles for subtypes of inhibition in visual cortex.
Caroline A Runyan, James Schummers, Audra Van Wart, Sandra J Kuhlman, Nathan R Wilson, Z Josh Huang, Mriganka Sur. Neuron 2010
163
12



Imaging large-scale neural activity with cellular resolution in awake, mobile mice.
Daniel A Dombeck, Anton N Khabbaz, Forrest Collman, Thomas L Adelman, David W Tank. Neuron 2007
614
12


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.