A citation-based method for searching scientific literature

Marcel van Gerven. Front Comput Neurosci 2017
Times Cited: 7







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



Times Cited
  Times     Co-cited
Similarity


Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
57

Neuroscience-Inspired Artificial Intelligence.
Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, Matthew Botvinick. Neuron 2017
162
42

Toward an Integration of Deep Learning and Neuroscience.
Adam H Marblestone, Greg Wayne, Konrad P Kording. Front Comput Neurosci 2016
141
42


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
28



Cognitive computational neuroscience.
Nikolaus Kriegeskorte, Pamela K Douglas. Nat Neurosci 2018
53
28

Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence.
Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, Aude Oliva. Sci Rep 2016
164
28

Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
28

Human-level control through deep reinforcement learning.
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski,[...]. Nature 2015
759
28

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
314
28

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
328
28

Seeing it all: Convolutional network layers map the function of the human visual system.
Michael Eickenberg, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Neuroimage 2017
61
28

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
73
14


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
109
14

Cognitive Computational Neuroscience: A New Conference for an Emerging Discipline.
Thomas Naselaris, Danielle S Bassett, Alyson K Fletcher, Konrad Kording, Nikolaus Kriegeskorte, Hendrikje Nienborg, Russell A Poldrack, Daphna Shohamy, Kendrick Kay. Trends Cogn Sci 2018
4
25

Hybrid computing using a neural network with dynamic external memory.
Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwińska, Sergio Gómez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John Agapiou,[...]. Nature 2016
93
14

The morals of model-making.
S G Sterrett. Stud Hist Philos Sci 2014
1
100

Fantastic DNimals and where to find them.
H Steven Scholte. Neuroimage 2018
7
14

The dynamical hypothesis in cognitive science.
T van Gelder. Behav Brain Sci 1998
101
14

Working memory: theories, models, and controversies.
Alan Baddeley. Annu Rev Psychol 2012
14

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
14

Predict, then simplify.
Jonas Kubilius. Neuroimage 2018
3
33

Deep Neural Networks as a Computational Model for Human Shape Sensitivity.
Jonas Kubilius, Stefania Bracci, Hans P Op de Beeck. PLoS Comput Biol 2016
75
14

Recurrent computations for visual pattern completion.
Hanlin Tang, Martin Schrimpf, William Lotter, Charlotte Moerman, Ana Paredes, Josue Ortega Caro, Walter Hardesty, David Cox, Gabriel Kreiman. Proc Natl Acad Sci U S A 2018
42
14


Region-Based Convolutional Networks for Accurate Object Detection and Segmentation.
Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik. IEEE Trans Pattern Anal Mach Intell 2016
102
14

Learning multiple layers of representation.
Geoffrey E Hinton. Trends Cogn Sci 2007
144
14



Can the pharmaceutical industry reduce attrition rates?
Ismail Kola, John Landis. Nat Rev Drug Discov 2004
14


Cell Proliferation and Cytotoxicity Assays.
Aysun Adan, Yağmur Kiraz, Yusuf Baran. Curr Pharm Biotechnol 2016
80
14

Risk assessment of patulin intake through apple-based food by infants and preschool children in Serbia.
Ljilja Torović, Nina Dimitrov, Ricardo Assunção, Paula Alvito. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2017
11
14

Content of aliphatic hydrocarbons in limpets as a new way for classification of species using artificial neural networks.
J Hernández-Borges, R Corbella-Tena, M A Rodríguez-Delgado, F J García-Montelongo, J Havel. Chemosphere 2004
8
14

Prevention and detection of Mycoplasma contamination in cell culture.
Laleh Nikfarjam, Parvaneh Farzaneh. Cell J 2012
57
14

Quercetin inhibits the cytotoxicity and oxidative stress in liver of rats fed aflatoxin-contaminated diet.
Aziza A El-Nekeety, Sekena H Abdel-Azeim, Aziza M Hassan, Nabila S Hassan, Soher E Aly, Mosaad A Abdel-Wahhab. Toxicol Rep 2014
37
14

A unified multitask architecture for predicting local protein properties.
Yanjun Qi, Merja Oja, Jason Weston, William Stafford Noble. PLoS One 2012
18
14

Secondary metabolite and mycotoxin production by the Rhizopus microsporus group.
Jennifer Jennessen, Kristian Fog Nielsen, Jos Houbraken, Ellen Kirstine Lyhne, Johan Schnürer, Jens Christian Frisvad, Robert A Samson. J Agric Food Chem 2005
38
14



Flavonoids protect against T-2 mycotoxins both in vitro and in vivo.
R J Markham, N P Erhardt, V L DiNinno, D Penman, A R Bhatti. J Gen Microbiol 1987
10
14

Evaluation of genotoxic risk and oxidative DNA damage in mammalian cells exposed to mycotoxins, patulin and citrinin.
Biing-Hui Liu, Feng-Yih Yu, Ting-Shuan Wu, Shuan-Yow Li, Mao-Chang Su, Mei-Chine Wang, Shin-Mei Shih. Toxicol Appl Pharmacol 2003
110
14

Assessing the data quality in predictive toxicology using a panel of cell lines and cytotoxicity assays.
Leena Pohjala, Päivi Tammela, Swapan K Samanta, Jari Yli-Kauhaluoma, Pia Vuorela. Anal Biochem 2007
40
14


Mycotoxin Contamination in the EU Feed Supply Chain: A Focus on Cereal Byproducts.
Luciano Pinotti, Matteo Ottoboni, Carlotta Giromini, Vittorio Dell'Orto, Federica Cheli. Toxins (Basel) 2016
100
14

The rise of deep learning in drug discovery.
Hongming Chen, Ola Engkvist, Yinhai Wang, Marcus Olivecrona, Thomas Blaschke. Drug Discov Today 2018
332
14

Thrips (Thysanoptera) identification using artificial neural networks.
P Fedor, I Malenovský, J Vanhara, W Sierka, J Havel. Bull Entomol Res 2008
10
14


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.