A citation-based method for searching scientific literature


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



Times Cited
  Times     Co-cited
Similarity


scikit-image: image processing in Python.
Stéfan van der Walt, Johannes L Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu. PeerJ 2014
554
2

Primary visual cortex shows laminar-specific and balanced circuit organization of excitatory and inhibitory synaptic connectivity.
Xiangmin Xu, Nicholas D Olivas, Taruna Ikrar, Tao Peng, Todd C Holmes, Qing Nie, Yulin Shi. J Physiol 2016
26
3

A theory of maximizing sensory information.
J H van Hateren. Biol Cybern 1992
130
2

A deep learning framework for neuroscience.
Blake A Richards, Timothy P Lillicrap, Philippe Beaudoin, Yoshua Bengio, Rafal Bogacz, Amelia Christensen, Claudia Clopath, Rui Ponte Costa, Archy de Berker, Surya Ganguli,[...]. Nat Neurosci 2019
73
2

Selectivity, hyperselectivity, and the tuning of V1 neurons.
Kedarnath P Vilankar, David J Field. J Vis 2017
3
33

A feedforward architecture accounts for rapid categorization.
Thomas Serre, Aude Oliva, Tomaso Poggio. Proc Natl Acad Sci U S A 2007
405
2

Sparse coding of sensory inputs.
Bruno A Olshausen, David J Field. Curr Opin Neurobiol 2004
544
2

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
2


Sparse coding via thresholding and local competition in neural circuits.
Christopher J Rozell, Don H Johnson, Richard G Baraniuk, Bruno A Olshausen. Neural Comput 2008
70
2


Conjectures regarding the nonlinear geometry of visual neurons.
James R Golden, Kedarnath P Vilankar, Michael C K Wu, David J Field. Vision Res 2016
9
11

Natural image coding in V1: how much use is orientation selectivity?
Jan Eichhorn, Fabian Sinz, Matthias Bethge. PLoS Comput Biol 2009
27
3


Single-neuron perturbations reveal feature-specific competition in V1.
Selmaan N Chettih, Christopher D Harvey. Nature 2019
37
2

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
296
2

A simple model of optimal population coding for sensory systems.
Eizaburo Doi, Michael S Lewicki. PLoS Comput Biol 2014
17
5

Obtaining Well Calibrated Probabilities Using Bayesian Binning.
Mahdi Pakdaman Naeini, Gregory F Cooper, Milos Hauskrecht. Proc Conf AAAI Artif Intell 2015
25
4

Four alpha ganglion cell types in mouse retina: Function, structure, and molecular signatures.
Brenna Krieger, Mu Qiao, David L Rousso, Joshua R Sanes, Markus Meister. PLoS One 2017
71
2

Dependence of the retinal Ganglion cell's responses on local textures of natural scenes.
Xiwu Cao, David K Merwine, Norberto M Grzywacz. J Vis 2011
4
25

Unusual Physiological Properties of Smooth Monostratified Ganglion Cell Types in Primate Retina.
Colleen E Rhoades, Nishal P Shah, Michael B Manookin, Nora Brackbill, Alexandra Kling, Georges Goetz, Alexander Sher, Alan M Litke, E J Chichilnisky. Neuron 2019
13
7

Pathway-Specific Asymmetries between ON and OFF Visual Signals.
Sneha Ravi, Daniel Ahn, Martin Greschner, E J Chichilnisky, Greg D Field. J Neurosci 2018
13
7

Color and spatial structure in natural scenes.
G J Burton, I R Moorhead. Appl Opt 1987
220
2

Inferring synaptic inputs from spikes with a conductance-based neural encoding model.
Kenneth W Latimer, Fred Rieke, Jonathan W Pillow. Elife 2019
6
16

An examination of physiological mechanisms underlying the frequency-doubling illusion.
Andrew J R White, Hao Sun, William H Swanson, Barry B Lee. Invest Ophthalmol Vis Sci 2002
127
2

Contour detection and hierarchical image segmentation.
Pablo Arbeláez, Michael Maire, Charless Fowlkes, Jitendra Malik. IEEE Trans Pattern Anal Mach Intell 2011
278
2

Multiplicative auditory spatial receptive fields created by a hierarchy of population codes.
Brian J Fischer, Charles H Anderson, José Luis Peña. PLoS One 2009
13
7

Measuring the Performance of Neural Models.
Oliver Schoppe, Nicol S Harper, Ben D B Willmore, Andrew J King, Jan W H Schnupp. Front Comput Neurosci 2016
32
3

The dynamic receptive fields of retinal ganglion cells.
Sophia Wienbar, Gregory W Schwartz. Prog Retin Eye Res 2018
11
9

A natural approach to studying vision.
Gidon Felsen, Yang Dan. Nat Neurosci 2005
155
2


Typology and Circuitry of Suppressed-by-Contrast Retinal Ganglion Cells.
Jason Jacoby, Gregory William Schwartz. Front Cell Neurosci 2018
8
12

Dynamics of gaze control during prey capture in freely moving mice.
Angie M Michaiel, Elliott Tt Abe, Cristopher M Niell. Elife 2020
9
11

A virtual retina for studying population coding.
Illya Bomash, Yasser Roudi, Sheila Nirenberg. PLoS One 2013
8
12

Unique Spatial Integration in Mouse Primary Visual Cortex and Higher Visual Areas.
Kevin A Murgas, Ashley M Wilson, Valerie Michael, Lindsey L Glickfeld. J Neurosci 2020
4
25

Non-parametric Physiological Classification of Retinal Ganglion Cells in the Mouse Retina.
Jonathan Jouty, Gerrit Hilgen, Evelyne Sernagor, Matthias H Hennig. Front Cell Neurosci 2018
5
20


Mouse rods signal through gap junctions with cones.
Sabrina Asteriti, Claudia Gargini, Lorenzo Cangiano. Elife 2014
33
3


The "silent substitution" method in visual research.
O Estévez, H Spekreijse. Vision Res 1982
191
2

The M5 Cell: A Color-Opponent Intrinsically Photosensitive Retinal Ganglion Cell.
Maureen E Stabio, Shai Sabbah, Lauren E Quattrochi, Marissa C Ilardi, P Michelle Fogerson, Megan L Leyrer, Min Tae Kim, Inkyu Kim, Matthew Schiel, Jordan M Renna,[...]. Neuron 2018
30
3

Visual homing: an insect perspective.
Jochen Zeil. Curr Opin Neurobiol 2012
110
2



Neural circuits in the mouse retina support color vision in the upper visual field.
Klaudia P Szatko, Maria M Korympidou, Yanli Ran, Philipp Berens, Deniz Dalkara, Timm Schubert, Thomas Euler, Katrin Franke. Nat Commun 2020
8
12




Circuitry for color coding in the primate retina.
D M Dacey. Proc Natl Acad Sci U S A 1996
120
2



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.