A citation-based method for searching scientific literature

Tiziano Zito, Niko Wilbert, Laurenz Wiskott, Pietro Berkes. Front Neuroinform 2009
Times Cited: 29







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



Times Cited
  Times     Co-cited
Similarity


Slow feature analysis: unsupervised learning of invariances.
Laurenz Wiskott, Terrence J Sejnowski. Neural Comput 2002
208
34


Slowness and sparseness lead to place, head-direction, and spatial-view cells.
Mathias Franzius, Henning Sprekeler, Laurenz Wiskott. PLoS Comput Biol 2007
68
24

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
61
20

Slowness: an objective for spike-timing-dependent plasticity?
Henning Sprekeler, Christian Michaelis, Laurenz Wiskott. PLoS Comput Biol 2007
35
17

Learning Invariance from Transformation Sequences.
Peter Földiák. Neural Comput 1991
242
17

Invariant object recognition and pose estimation with slow feature analysis.
Mathias Franzius, Niko Wilbert, Laurenz Wiskott. Neural Comput 2011
16
25




Quadratic forms in natural images.
Wakako Hashimoto. Network 2003
14
21

Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering.
R Quian Quiroga, Z Nadasdy, Y Ben-Shaul. Neural Comput 2004
934
10

PyMVPA: A Unifying Approach to the Analysis of Neuroscientific Data.
Michael Hanke, Yaroslav O Halchenko, Per B Sederberg, Emanuele Olivetti, Ingo Fründ, Jochem W Rieger, Christoph S Herrmann, James V Haxby, Stephen José Hanson, Stefan Pollmann. Front Neuroinform 2009
65
10

Python for information theoretic analysis of neural data.
Robin A A Ince, Rasmus S Petersen, Daniel C Swan, Stefano Panzeri. Front Neuroinform 2009
31
10


OpenElectrophy: An Electrophysiological Data- and Analysis-Sharing Framework.
Samuel Garcia, Nicolas Fourcaud-Trocmé. Front Neuroinform 2009
57
10


Invariant face and object recognition in the visual system.
G Wallis, E T Rolls. Prog Neurobiol 1997
302
10


Dissociating memory traces and scenario construction in mental time travel.
Sen Cheng, Markus Werning, Thomas Suddendorf. Neurosci Biobehav Rev 2016
24
12


Interactions between location and task affect the spatial and directional firing of hippocampal neurons.
E J Markus, Y L Qin, B Leonard, W E Skaggs, B L McNaughton, C A Barnes. J Neurosci 1995
355
6


A schematic eye for the rat.
A Hughes. Vision Res 1979
240
6

From grids to places.
M Franzius, R Vollgraf, L Wiskott. J Comput Neurosci 2007
36
6

Place cells, head direction cells, and the learning of landmark stability.
J J Knierim, H S Kudrimoti, B L McNaughton. J Neurosci 1995
343
6



Generating Stimuli for Neuroscience Using PsychoPy.
Jonathan W Peirce. Front Neuroinform 2009
640
6



Signal processing in magnetoencephalography.
J Vrba, S E Robinson. Methods 2001
445
6

Commonalities and differences among vectorized beamformers in electromagnetic source imaging.
M X Huang, J J Shih, R R Lee, D L Harrington, R J Thoma, M P Weisend, F Hanlon, K M Paulson, T Li, K Martin,[...]. Brain Topogr 2004
87
6

Determination of activation areas in the human auditory cortex by means of synthetic aperture magnetometry.
Anthony T Herdman, Andreas Wollbrink, Wilkin Chau, Ryouhei Ishii, Bernhard Ross, Christo Pantev. Neuroimage 2003
79
6


DataViewer3D: An Open-Source, Cross-Platform Multi-Modal Neuroimaging Data Visualization Tool.
André Gouws, Will Woods, Rebecca Millman, Antony Morland, Gary Green. Front Neuroinform 2009
21
9

Localization of brain electrical activity via linearly constrained minimum variance spatial filtering.
B D Van Veen, W van Drongelen, M Yuchtman, A Suzuki. IEEE Trans Biomed Eng 1997
6

Localization of event-related activity by SAM(erf).
S E Robinson. Neurol Clin Neurophysiol 2004
73
6


How not to study spontaneous activity.
Nikos K Logothetis, Yusuke Murayama, Mark Augath, Theodor Steffen, Joachim Werner, Axel Oeltermann. Neuroimage 2009
92
6


Statistical flattening of MEG beamformer images.
Gareth R Barnes, Arjan Hillebrand. Hum Brain Mapp 2003
137
6

Brian: a simulator for spiking neural networks in python.
Dan Goodman, Romain Brette. Front Neuroinform 2008
185
6

Python for large-scale electrophysiology.
Martin Spacek, Tim Blanche, Nicholas Swindale. Front Neuroinform 2009
20
10

Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning.
Jean-Pascal Pfister, Taro Toyoizumi, David Barber, Wulfram Gerstner. Neural Comput 2006
105
6



A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback.
Robert Legenstein, Dejan Pecevski, Wolfgang Maass. PLoS Comput Biol 2008
96
6

Learning viewpoint invariant object representations using a temporal coherence principle.
Wolfgang Einhäuser, Jörg Hipp, Julian Eggert, Edgar Körner, Peter König. Biol Cybern 2005
23
8

Untangling invariant object recognition.
James J DiCarlo, David D Cox. Trends Cogn Sci 2007
357
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.