A citation-based method for searching scientific literature

E P Simoncelli, B A Olshausen. Annu Rev Neurosci 2001
Times Cited: 976







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



Times Cited
  Times     Co-cited
Similarity






Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
379
13



Performance-optimized hierarchical models predict neural responses in higher visual cortex.
Daniel L K Yamins, Ha Hong, Charles F Cadieu, Ethan A Solomon, Darren Seibert, James J DiCarlo. Proc Natl Acad Sci U S A 2014
515
10


Sparse coding of sensory inputs.
Bruno A Olshausen, David J Field. Curr Opin Neurobiol 2004
576
10



Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
388
9

Efficient coding of natural sounds.
Michael S Lewicki. Nat Neurosci 2002
264
9

Vision and the statistics of the visual environment.
Eero P Simoncelli. Curr Opin Neurobiol 2003
146
9



Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
825
8


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
149
8

Visual discomfort and natural image statistics.
Igor Juricevic, Leah Land, Arnold Wilkins, Michael A Webster. Perception 2010
69
11


The functional diversity of retinal ganglion cells in the mouse.
Tom Baden, Philipp Berens, Katrin Franke, Miroslav Román Rosón, Matthias Bethge, Thomas Euler. Nature 2016
418
7


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

Redundancy reduction revisited.
H Barlow. Network 2001
261
7




Benefits of pathway splitting in sensory coding.
Julijana Gjorgjieva, Haim Sompolinsky, Markus Meister. J Neurosci 2014
62
9

Stimulus- and goal-oriented frameworks for understanding natural vision.
Maxwell H Turner, Luis Gonzalo Sanchez Giraldo, Odelia Schwartz, Fred Rieke. Nat Neurosci 2019
16
37


Efficient auditory coding.
Evan C Smith, Michael S Lewicki. Nature 2006
209
6

How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
580
6

Untangling invariant object recognition.
James J DiCarlo, David D Cox. Trends Cogn Sci 2007
374
6

Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition.
Courtney J Spoerer, Patrick McClure, Nikolaus Kriegeskorte. Front Psychol 2017
51
11

Deep convolutional models improve predictions of macaque V1 responses to natural images.
Santiago A Cadena, George H Denfield, Edgar Y Walker, Leon A Gatys, Andreas S Tolias, Matthias Bethge, Alexander S Ecker. PLoS Comput Biol 2019
56
10

Spatio-temporal correlations and visual signalling in a complete neuronal population.
Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, E J Chichilnisky, Eero P Simoncelli. Nature 2008
617
6


Statistics of natural images: Scaling in the woods.
Ruderman, Bialek. Phys Rev Lett 1994
345
6

Visual discomfort and the spatial distribution of Fourier energy.
Olivier Penacchio, Arnold J Wilkins. Vision Res 2015
36
16

The importance of mixed selectivity in complex cognitive tasks.
Mattia Rigotti, Omri Barak, Melissa R Warden, Xiao-Jing Wang, Nathaniel D Daw, Earl K Miller, Stefano Fusi. Nature 2013
590
6

Recurrence is required to capture the representational dynamics of the human visual system.
Tim C Kietzmann, Courtney J Spoerer, Lynn K A Sörensen, Radoslaw M Cichy, Olaf Hauk, Nikolaus Kriegeskorte. Proc Natl Acad Sci U S A 2019
77
7

Image quality assessment: from error visibility to structural similarity.
Zhou Wang, Alan Conrad Bovik, Hamid Rahim Sheikh, Eero P Simoncelli. IEEE Trans Image Process 2004
6

Color and spatial structure in natural scenes.
G J Burton, I R Moorhead. Appl Opt 1987
231
6

Zebrafish Differentially Process Color across Visual Space to Match Natural Scenes.
Maxime J Y Zimmermann, Noora E Nevala, Takeshi Yoshimatsu, Daniel Osorio, Dan-Eric Nilsson, Philipp Berens, Tom Baden. Curr Biol 2018
67
7

Photoreception and vision in the ultraviolet.
Thomas W Cronin, Michael J Bok. J Exp Biol 2016
40
12


Deep Learning Models of the Retinal Response to Natural Scenes.
Lane T McIntosh, Niru Maheswaranathan, Aran Nayebi, Surya Ganguli, Stephen A Baccus. Adv Neural Inf Process Syst 2016
49
10

A tale of two retinal domains: near-optimal sampling of achromatic contrasts in natural scenes through asymmetric photoreceptor distribution.
Tom Baden, Timm Schubert, Le Chang, Tao Wei, Mariana Zaichuk, Bernd Wissinger, Thomas Euler. Neuron 2013
86
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.