A citation-based method for searching scientific literature

Michael Teichmann, Jan Wiltschut, Fred Hamker. Neural Comput 2012
Times Cited: 3







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



Times Cited
  Times     Co-cited
Similarity


A simple Hebbian/anti-Hebbian network learns the sparse, independent components of natural images.
Michael S Falconbridge, Robert L Stamps, David R Badcock. Neural Comput 2006
26
100




A large-scale model of the functioning brain.
Chris Eliasmith, Terrence C Stewart, Xuan Choo, Trevor Bekolay, Travis DeWolf, Yichuan Tang, Daniel Rasmussen. Science 2012
233
66


Recurrent Processing during Object Recognition.
Randall C O'Reilly, Dean Wyatte, Seth Herd, Brian Mingus, David J Jilk. Front Psychol 2013
49
66

Event-driven contrastive divergence for spiking neuromorphic systems.
Emre Neftci, Srinjoy Das, Bruno Pedroni, Kenneth Kreutz-Delgado, Gert Cauwenberghs. Front Neurosci 2014
50
66





Untangling invariant object recognition.
James J DiCarlo, David D Cox. Trends Cogn Sci 2007
365
66


Evolving mobile robots in simulated and real environments.
O Miglino, H H Lund, S Nolfi. Artif Life 1995
22
33

Reinforcement learning on slow features of high-dimensional input streams.
Robert Legenstein, Niko Wilbert, Laurenz Wiskott. PLoS Comput Biol 2010
14
33

Reinforcement learning of motor skills with policy gradients.
Jan Peters, Stefan Schaal. Neural Netw 2008
48
33


Discrete recurrent neural networks for grammatical inference.
Z Zeng, R M Goodman, P Smyth. IEEE Trans Neural Netw 1994
10
33




Probabilistic incremental program evolution
Salustowicz, Schmidhuber. Evol Comput 1997
6
33

Multi-column deep neural network for traffic sign classification.
Dan Cireşan, Ueli Meier, Jonathan Masci, Jürgen Schmidhuber. Neural Netw 2012
87
33

Mitosis detection in breast cancer histology images with deep neural networks.
Dan C Cireşan, Alessandro Giusti, Luca M Gambardella, Jürgen Schmidhuber. Med Image Comput Comput Assist Interv 2013
303
33

Exploiting the past and the future in protein secondary structure prediction.
P Baldi, S Brunak, P Frasconi, G Soda, G Pollastri. Bioinformatics 1999
198
33

Evolving neural networks through augmenting topologies.
Kenneth O Stanley, Risto Miikkulainen. Evol Comput 2002
135
33

The human brain project.
Henry Markram. Sci Am 2012
87
33

Training a single sigmoidal neuron is hard.
Jirí Síma. Neural Comput 2002
4
33


Evolving spiking neural networks for audiovisual information processing.
Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov. Neural Netw 2010
24
33

Multiple model-based reinforcement learning.
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, Mitsuo Kawato. Neural Comput 2002
136
33

Matching recall and storage in sequence learning with spiking neural networks.
Johanni Brea, Walter Senn, Jean-Pascal Pfister. J Neurosci 2013
51
33


The Helmholtz machine.
P Dayan, G E Hinton, R M Neal, R S Zemel. Neural Comput 1995
391
33



Reducing the dimensionality of data with neural networks.
G E Hinton, R R Salakhutdinov. Science 2006
33




NNcon: improved protein contact map prediction using 2D-recursive neural networks.
Allison N Tegge, Zheng Wang, Jesse Eickholt, Jianlin Cheng. Nucleic Acids Res 2009
80
33

Learning hierarchical features for scene labeling.
Clément Farabet, Camille Couprie, Laurent Najman, Yann Lecun. IEEE Trans Pattern Anal Mach Intell 2013
208
33



Adaptive critic designs.
D V Prokhorov, D C Wunsch. IEEE Trans Neural Netw 1997
114
33

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
649
33

Learning to forget: continual prediction with LSTM.
F A Gers, J Schmidhuber, F Cummins. Neural Comput 2000
258
33


The "wake-sleep" algorithm for unsupervised neural networks.
G E Hinton, P Dayan, B J Frey, R M Neal. Science 1995
200
33


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.