A citation-based method for searching scientific literature

B A Olshausen, D J Field. Vision Res 1997
Times Cited: 559







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



Times Cited
  Times     Co-cited
Similarity




Natural image statistics and neural representation.
E P Simoncelli, B A Olshausen. Annu Rev Neurosci 2001
930
15

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
14

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
71
18





Sparse coding of sensory inputs.
Bruno A Olshausen, David J Field. Curr Opin Neurobiol 2004
557
11



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
436
9

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
314
9


Reducing the dimensionality of data with neural networks.
G E Hinton, R R Salakhutdinov. Science 2006
8

Efficient coding of natural sounds.
Michael S Lewicki. Nat Neurosci 2002
255
8


Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
767
8


Predictive coding: a fresh view of inhibition in the retina.
M V Srinivasan, S B Laughlin, A Dubs. Proc R Soc Lond B Biol Sci 1982
504
7




Efficient auditory coding.
Evan C Smith, Michael S Lewicki. Nature 2006
201
6




Flexible gating of contextual influences in natural vision.
Ruben Coen-Cagli, Adam Kohn, Odelia Schwartz. Nat Neurosci 2015
67
8


Natural signal statistics and sensory gain control.
O Schwartz, E P Simoncelli. Nat Neurosci 2001
416
6



How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
523
5

Sparse codes for speech predict spectrotemporal receptive fields in the inferior colliculus.
Nicole L Carlson, Vivienne L Ming, Michael Robert Deweese. PLoS Comput Biol 2012
35
14







Edge co-occurrence in natural images predicts contour grouping performance.
W S Geisler, J S Perry, B J Super, D P Gallogly. Vision Res 2001
363
5

Deep learning in neural networks: an overview.
Jürgen Schmidhuber. Neural Netw 2015
5



Computational modelling of visual attention.
L Itti, C Koch. Nat Rev Neurosci 2001
4

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
328
4

Cortical Surround Interactions and Perceptual Salience via Natural Scene Statistics.
Ruben Coen-Cagli, Peter Dayan, Odelia Schwartz. PLoS Comput Biol 2012
45
8

Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field Formation.
Carlos S N Brito, Wulfram Gerstner. PLoS Comput Biol 2016
20
20

Mastering the game of Go with deep neural networks and tree search.
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot,[...]. Nature 2016
864
4


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.