A citation-based method for searching scientific literature

Jeffrey D Fitzgerald, Ryan J Rowekamp, Lawrence C Sincich, Tatyana O Sharpee. PLoS Comput Biol 2011
Times Cited: 37







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



Times Cited
  Times     Co-cited
Similarity


Inferring input nonlinearities in neural encoding models.
Misha B Ahrens, Liam Paninski, Maneesh Sahani. Network 2008
49
13

Bayesian inference for generalized linear models for spiking neurons.
Sebastian Gerwinn, Jakob H Macke, Matthias Bethge. Front Comput Neurosci 2010
32
15


Adaptive rescaling maximizes information transmission.
N Brenner, W Bialek, R de Ruyter van Steveninck. Neuron 2000
385
13

System identification of Drosophila olfactory sensory neurons.
Anmo J Kim, Aurel A Lazar, Yevgeniy B Slutskiy. J Comput Neurosci 2011
47
13

Encoding properties of haltere neurons enable motion feature detection in a biological gyroscope.
Jessica L Fox, Adrienne L Fairhall, Thomas L Daniel. Proc Natl Acad Sci U S A 2010
45
13

Characterizing responses of translation-invariant neurons to natural stimuli: maximally informative invariant dimensions.
Michael Eickenberg, Ryan J Rowekamp, Minjoon Kouh, Tatyana O Sharpee. Neural Comput 2012
13
38

On the importance of static nonlinearity in estimating spatiotemporal neural filters with natural stimuli.
Tatyana O Sharpee, Kenneth D Miller, Michael P Stryker. J Neurophysiol 2008
33
15

Estimating sparse spectro-temporal receptive fields with natural stimuli.
Stephen V David, Nima Mesgarani, Shihab A Shamma. Network 2007
71
13

Linearity of cortical receptive fields measured with natural sounds.
Christian K Machens, Michael S Wehr, Anthony M Zador. J Neurosci 2004
192
13

Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
751
13

Preserving information in neural transmission.
Lawrence C Sincich, Jonathan C Horton, Tatyana O Sharpee. J Neurosci 2009
46
10

Sensory adaptation.
Barry Wark, Brian Nils Lundstrom, Adrienne Fairhall. Curr Opin Neurobiol 2007
265
10

The nonlinear pathway of Y ganglion cells in the cat retina.
J D Victor, R M Shapley. J Gen Physiol 1979
130
10

Computation in a single neuron: Hodgkin and Huxley revisited.
Blaise Agüera y Arcas, Adrienne L Fairhall, William Bialek. Neural Comput 2003
89
10

Refractoriness and neural precision.
M J Berry, M Meister. J Neurosci 1998
243
10

Predicting every spike: a model for the responses of visual neurons.
J Keat, P Reinagel, R C Reid, M Meister. Neuron 2001
201
10

ePPR: a new strategy for the characterization of sensory cells from input/output data.
Joaquín Rapela, Gidon Felsen, Jon Touryan, Jerry M Mendel, Norberto M Grzywacz. Network 2010
9
44

What causes a neuron to spike?
Blaise Agüera y Arcas, Adrienne L Fairhall. Neural Comput 2003
83
10

The spatial structure of a nonlinear receptive field.
Gregory W Schwartz, Haruhisa Okawa, Felice A Dunn, Josh L Morgan, Daniel Kerschensteiner, Rachel O Wong, Fred Rieke. Nat Neurosci 2012
118
10


The information content of receptive fields.
Thomas L Adelman, William Bialek, Robert M Olberg. Neuron 2003
39
10

Statistics of natural images: Scaling in the woods.
Ruderman, Bialek. Phys Rev Lett 1994
335
10

Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model.
Jonathan W Pillow, Liam Paninski, Valerie J Uzzell, Eero P Simoncelli, E J Chichilnisky. J Neurosci 2005
190
10


Nonlinear spectrotemporal sound analysis by neurons in the auditory midbrain.
Monty A Escabi, Christoph E Schreiner. J Neurosci 2002
142
10

Spectrotemporal contrast kernels for neurons in primary auditory cortex.
Neil C Rabinowitz, Ben D B Willmore, Jan W H Schnupp, Andrew J King. J Neurosci 2012
42
10

Hidden complexity of synaptic receptive fields in cat V1.
Julien Fournier, Cyril Monier, Manuel Levy, Olivier Marre, Katalin Sári, Zoltán F Kisvárday, Yves Frégnac. J Neurosci 2014
20
20

Two-dimensional time coding in the auditory brainstem.
Sean J Slee, Matthew H Higgs, Adrienne L Fairhall, William J Spain. J Neurosci 2005
64
10

Spectrotemporal structure of receptive fields in areas AI and AAF of mouse auditory cortex.
Jennifer F Linden, Robert C Liu, Maneesh Sahani, Christoph E Schreiner, Michael M Merzenich. J Neurophysiol 2003
153
10

The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reduction.
Ross S Williamson, Maneesh Sahani, Jonathan W Pillow. PLoS Comput Biol 2015
16
25

Input-Specific Gain Modulation by Local Sensory Context Shapes Cortical and Thalamic Responses to Complex Sounds.
Ross S Williamson, Misha B Ahrens, Jennifer F Linden, Maneesh Sahani. Neuron 2016
29
13

Central auditory neurons have composite receptive fields.
Andrei S Kozlov, Timothy Q Gentner. Proc Natl Acad Sci U S A 2016
27
14

On the classification of simple and complex cells.
Ferenc Mechler, Dario L Ringach. Vision Res 2002
146
8


Complex cells as cortically amplified simple cells.
F S Chance, S B Nelson, L F Abbott. Nat Neurosci 1999
138
8

Responses to natural scenes in cat V1.
Christoph Kayser, Rodrigo F Salazar, Peter Konig. J Neurophysiol 2003
80
8


Computational subunits of visual cortical neurons revealed by artificial neural networks.
Brian Lau, Garrett B Stanley, Yang Dan. Proc Natl Acad Sci U S A 2002
39
8


Estimating receptive fields from responses to natural stimuli with asymmetric intensity distributions.
Nicholas A Lesica, Toshiyuki Ishii, Garrett B Stanley, Toshihiko Hosoya. PLoS One 2008
8
37

Natural signal statistics and sensory gain control.
O Schwartz, E P Simoncelli. Nat Neurosci 2001
412
8


Stimulus-dependent maximum entropy models of neural population codes.
Einat Granot-Atedgi, Gašper Tkačik, Ronen Segev, Elad Schneidman. PLoS Comput Biol 2013
32
9

Fast and slow contrast adaptation in retinal circuitry.
Stephen A Baccus, Markus Meister. Neuron 2002
318
8


The neural code of the retina.
M Meister, M J Berry. Neuron 1999
249
8


Cortical sensitivity to visual features in natural scenes.
Gidon Felsen, Jon Touryan, Feng Han, Yang Dan. PLoS Biol 2005
109
8

Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
8


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.