A citation-based method for searching scientific literature

Ruben S van Bergen, Nikolaus Kriegeskorte. Curr Opin Neurobiol 2020
Times Cited: 10







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



Times Cited
  Times     Co-cited
Similarity


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
587
50

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
50

Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision.
Courtney J Spoerer, Tim C Kietzmann, Johannes Mehrer, Ian Charest, Nikolaus Kriegeskorte. PLoS Comput Biol 2020
17
40

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
424
40


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
182
30

Evidence that recurrent circuits are critical to the ventral stream's execution of core object recognition behavior.
Kohitij Kar, Jonas Kubilius, Kailyn Schmidt, Elias B Issa, James J DiCarlo. Nat Neurosci 2019
110
30

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
97
30

Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
30

Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition.
Courtney J Spoerer, Patrick McClure, Nikolaus Kriegeskorte. Front Psychol 2017
56
30

Representational similarity analysis - connecting the branches of systems neuroscience.
Nikolaus Kriegeskorte, Marieke Mur, Peter Bandettini. Front Syst Neurosci 2008
20

A multi-modal parcellation of human cerebral cortex.
Matthew F Glasser, Timothy S Coalson, Emma C Robinson, Carl D Hacker, John Harwell, Essa Yacoub, Kamil Ugurbil, Jesper Andersson, Christian F Beckmann, Mark Jenkinson,[...]. Nature 2016
20


Deep Neural Networks as Scientific Models.
Radoslaw M Cichy, Daniel Kaiser. Trends Cogn Sci 2019
87
20

How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
627
20

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
16
20


Hierarchical Bayesian inference in the visual cortex.
Tai Sing Lee, David Mumford. J Opt Soc Am A Opt Image Sci Vis 2003
561
20

Learning to link visual contours.
Wu Li, Valentin Piëch, Charles D Gilbert. Neuron 2008
147
20


Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
430
20


Deep learning in neural networks: an overview.
Jürgen Schmidhuber. Neural Netw 2015
20


Object-based attention in the primary visual cortex of the macaque monkey.
P R Roelfsema, V A Lamme, H Spekreijse. Nature 1998
517
20


Interactions between frontal cortex and basal ganglia in working memory: a computational model.
M J Frank, B Loughry, R C O'Reilly. Cogn Affect Behav Neurosci 2001
502
20


Neural coding: The bureaucratic model of the brain.
Romain Brette. Behav Brain Sci 2019
9
22

Neural population control via deep image synthesis.
Pouya Bashivan, Kohitij Kar, James J DiCarlo. Science 2019
97
20


Comparing face patch systems in macaques and humans.
Doris Y Tsao, Sebastian Moeller, Winrich A Freiwald. Proc Natl Acad Sci U S A 2008
390
10

Computational neuroimaging and population receptive fields.
Brian A Wandell, Jonathan Winawer. Trends Cogn Sci 2015
96
10

Robust correlation analyses: false positive and power validation using a new open source matlab toolbox.
Cyril R Pernet, Rand Wilcox, Guillaume A Rousselet. Front Psychol 2013
325
10

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
106
10



An anterior temporal face patch in human cortex, predicted by macaque maps.
Reza Rajimehr, Jeremy C Young, Roger B H Tootell. Proc Natl Acad Sci U S A 2009
186
10

Revealing the multidimensional mental representations of natural objects underlying human similarity judgements.
Martin N Hebart, Charles Y Zheng, Francisco Pereira, Chris I Baker. Nat Hum Behav 2020
27
10


Coherent concepts are computed in the anterior temporal lobes.
Matthew A Lambon Ralph, Karen Sage, Roy W Jones, Emily J Mayberry. Proc Natl Acad Sci U S A 2010
261
10

Matching categorical object representations in inferior temporal cortex of man and monkey.
Nikolaus Kriegeskorte, Marieke Mur, Douglas A Ruff, Roozbeh Kiani, Jerzy Bodurka, Hossein Esteky, Keiji Tanaka, Peter A Bandettini. Neuron 2008
700
10

Individual differences among deep neural network models.
Johannes Mehrer, Courtney J Spoerer, Nikolaus Kriegeskorte, Tim C Kietzmann. Nat Commun 2020
16
10

The Functional Neuroanatomy of Human Face Perception.
Kalanit Grill-Spector, Kevin S Weiner, Kendrick Kay, Jesse Gomez. Annu Rev Vis Sci 2017
110
10

Human Object-Similarity Judgments Reflect and Transcend the Primate-IT Object Representation.
Marieke Mur, Mirjam Meys, Jerzy Bodurka, Rainer Goebel, Peter A Bandettini, Nikolaus Kriegeskorte. Front Psychol 2013
64
10

Concreteness ratings for 40 thousand generally known English word lemmas.
Marc Brysbaert, Amy Beth Warriner, Victor Kuperman. Behav Res Methods 2014
390
10



Inverse MDS: Inferring Dissimilarity Structure from Multiple Item Arrangements.
Nikolaus Kriegeskorte, Marieke Mur. Front Psychol 2012
81
10

Peeling the Onion of Brain Representations.
Nikolaus Kriegeskorte, Jörn Diedrichsen. Annu Rev Neurosci 2019
21
10


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.