A citation-based method for searching scientific literature

Linda B Smith, Lauren K Slone. Front Psychol 2017
Times Cited: 15







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



Times Cited
  Times     Co-cited
Similarity


The Developing Infant Creates a Curriculum for Statistical Learning.
Linda B Smith, Swapnaa Jayaraman, Elizabeth Clerkin, Chen Yu. Trends Cogn Sci 2018
43
40

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
40

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
351
26

Statistical learning: a powerful mechanism that operates by mere exposure.
Richard N Aslin. Wiley Interdiscip Rev Cogn Sci 2017
45
26

Untangling invariant object recognition.
James J DiCarlo, David D Cox. Trends Cogn Sci 2007
365
26

Real-world visual statistics and infants' first-learned object names.
Elizabeth M Clerkin, Elizabeth Hart, James M Rehg, Chen Yu, Linda B Smith. Philos Trans R Soc Lond B Biol Sci 2017
52
26

From faces to hands: Changing visual input in the first two years.
Caitlin M Fausey, Swapnaa Jayaraman, Linda B Smith. Cognition 2016
70
26

Predicting the birth of a spoken word.
Brandon C Roy, Michael C Frank, Philip DeCamp, Matthew Miller, Deb Roy. Proc Natl Acad Sci U S A 2015
44
20


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
197
20


A case for environmental statistics of early-life effects.
Willem E Frankenhuis, Daniel Nettle, Sasha R X Dall. Philos Trans R Soc Lond B Biol Sci 2019
22
20

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
480
20

Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks.
Rishi Rajalingham, Elias B Issa, Pouya Bashivan, Kohitij Kar, Kailyn Schmidt, James J DiCarlo. J Neurosci 2018
82
20


Explicit information for category-orthogonal object properties increases along the ventral stream.
Ha Hong, Daniel L K Yamins, Najib J Majaj, James J DiCarlo. Nat Neurosci 2016
120
20

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
123
20

Nature and origins of the lexicon in 6-mo-olds.
Elika Bergelson, Richard N Aslin. Proc Natl Acad Sci U S A 2017
37
20

The Faces in Infant-Perspective Scenes Change over the First Year of Life.
Swapnaa Jayaraman, Caitlin M Fausey, Linda B Smith. PLoS One 2015
56
20


Contributions of head-mounted cameras to studying the visual environments of infants and young children.
Linda Smith, Chen Yu, Hanako Yoshida, Caitlin M Fausey. J Cogn Dev 2015
42
13


The development of newborn object recognition in fast and slow visual worlds.
Justin N Wood, Samantha M W Wood. Proc Biol Sci 2016
10
20

Neuroscience-Inspired Artificial Intelligence.
Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, Matthew Botvinick. Neuron 2017
182
13



A chicken model for studying the emergence of invariant object recognition.
Samantha M W Wood, Justin N Wood. Front Neural Circuits 2015
15
13


Avian brains and a new understanding of vertebrate brain evolution.
Erich D Jarvis, Onur Güntürkün, Laura Bruce, András Csillag, Harvey Karten, Wayne Kuenzel, Loreta Medina, George Paxinos, David J Perkel, Toru Shimizu,[...]. Nat Rev Neurosci 2005
550
13

Visual perception of materials and surfaces.
Barton L Anderson. Curr Biol 2011
42
13

Object perception as Bayesian inference.
Daniel Kersten, Pascal Mamassian, Alan Yuille. Annu Rev Psychol 2004
576
13

Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
13

Representation learning: a review and new perspectives.
Yoshua Bengio, Aaron Courville, Pascal Vincent. IEEE Trans Pattern Anal Mach Intell 2013
867
13

Visual motion and the perception of surface material.
Katja Doerschner, Roland W Fleming, Ozgur Yilmaz, Paul R Schrater, Bruce Hartung, Daniel Kersten. Curr Biol 2011
57
13



Material Perception.
Roland W Fleming. Annu Rev Vis Sci 2017
21
13


Reducing the dimensionality of data with neural networks.
G E Hinton, R R Salakhutdinov. Science 2006
13

Neural scene representation and rendering.
S M Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, Fabio Viola, Ari S Morcos, Marta Garnelo, Avraham Ruderman, Andrei A Rusu, Ivo Danihelka, Karol Gregor,[...]. Science 2018
35
13

Can computational goals inform theories of vision?
Barton L Anderson. Top Cogn Sci 2015
6
33


The perception and misperception of specular surface reflectance.
Phillip J Marlow, Juno Kim, Barton L Anderson. Curr Biol 2012
95
13

Natural image statistics and neural representation.
E P Simoncelli, B A Olshausen. Annu Rev Neurosci 2001
954
13

Human-level concept learning through probabilistic program induction.
Brenden M Lake, Ruslan Salakhutdinov, Joshua B Tenenbaum. Science 2015
175
13

Word learning as Bayesian inference.
Fei Xu, Joshua B Tenenbaum. Psychol Rev 2007
241
13

How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
548
13

Slow feature analysis: unsupervised learning of invariances.
Laurenz Wiskott, Terrence J Sejnowski. Neural Comput 2002
210
13

Controversial stimuli: Pitting neural networks against each other as models of human cognition.
Tal Golan, Prashant C Raju, Nikolaus Kriegeskorte. Proc Natl Acad Sci U S A 2020
7
28

At 6-9 months, human infants know the meanings of many common nouns.
Elika Bergelson, Daniel Swingley. Proc Natl Acad Sci U S A 2012
283
13


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.