A citation-based method for searching scientific literature

Laurenz Wiskott, Terrence J Sejnowski. Neural Comput 2002
Times Cited: 213







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



Times Cited
  Times     Co-cited
Similarity


Learning Invariance from Transformation Sequences.
Peter Földiák. Neural Comput 1991
244
38


How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
580
23


Slowness and sparseness lead to place, head-direction, and spatial-view cells.
Mathias Franzius, Henning Sprekeler, Laurenz Wiskott. PLoS Comput Biol 2007
69
28


Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
18

A model of the ventral visual system based on temporal stability and local memory.
Reto Wyss, Peter König, Paul F M J Verschure. PLoS Biol 2006
62
27




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
14

'Breaking' position-invariant object recognition.
David D Cox, Philip Meier, Nadja Oertelt, James J DiCarlo. Nat Neurosci 2005
93
13

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
13



Effects of temporal association on recognition memory.
G Wallis, H H Bülthoff. Proc Natl Acad Sci U S A 2001
121
12

Untangling invariant object recognition.
James J DiCarlo, David D Cox. Trends Cogn Sci 2007
374
11

Invariant object recognition and pose estimation with slow feature analysis.
Mathias Franzius, Niko Wilbert, Laurenz Wiskott. Neural Comput 2011
16
62

Robust object recognition with cortex-like mechanisms.
Thomas Serre, Lior Wolf, Stanley Bileschi, Maximilian Riesenhuber, Tomaso Poggio. IEEE Trans Pattern Anal Mach Intell 2007
318
10


A feedforward architecture accounts for rapid categorization.
Thomas Serre, Aude Oliva, Tomaso Poggio. Proc Natl Acad Sci U S A 2007
426
10

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
388
10

Spatiotemporal energy models for the perception of motion.
E H Adelson, J R Bergen. J Opt Soc Am A 1985
10



Learning invariant object recognition in the visual system with continuous transformations.
S M Stringer, G Perry, E T Rolls, J H Proske. Biol Cybern 2006
51
15

The neuronal encoding of information in the brain.
Edmund T Rolls, Alessandro Treves. Prog Neurobiol 2011
121
8

Learning and disrupting invariance in visual recognition with a temporal association rule.
Leyla Isik, Joel Z Leibo, Tomaso Poggio. Front Comput Neurosci 2012
20
40





Hierarchical Bayesian inference in the visual cortex.
Tai Sing Lee, David Mumford. J Opt Soc Am A Opt Image Sci Vis 2003
542
7

Learning the invariance properties of complex cells from their responses to natural stimuli.
Wolfgang Einhäuser, Christoph Kayser, Peter König, Konrad P Körding. Eur J Neurosci 2002
43
16


How are complex cell properties adapted to the statistics of natural stimuli?
Konrad P Körding, Christoph Kayser, Wolfgang Einhäuser, Peter König. J Neurophysiol 2004
50
14




Fast readout of object identity from macaque inferior temporal cortex.
Chou P Hung, Gabriel Kreiman, Tomaso Poggio, James J DiCarlo. Science 2005
452
7

Deep neural networks rival the representation of primate IT cortex for core visual object recognition.
Charles F Cadieu, Ha Hong, Daniel L K Yamins, Nicolas Pinto, Diego Ardila, Ethan A Solomon, Najib J Majaj, James J DiCarlo. PLoS Comput Biol 2014
199
7

A chicken model for studying the emergence of invariant object recognition.
Samantha M W Wood, Justin N Wood. Front Neural Circuits 2015
15
46

Enhanced learning of natural visual sequences in newborn chicks.
Justin N Wood, Aditya Prasad, Jason G Goldman, Samantha M W Wood. Anim Cogn 2016
9
77

The development of newborn object recognition in fast and slow visual worlds.
Justin N Wood, Samantha M W Wood. Proc Biol Sci 2016
10
70


A theory of cortical responses.
Karl Friston. Philos Trans R Soc Lond B Biol Sci 2005
6

Spatiotemporal elements of macaque v1 receptive fields.
Nicole C Rust, Odelia Schwartz, J Anthony Movshon, Eero P Simoncelli. Neuron 2005
272
6




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.