A citation-based method for searching scientific literature

Jian K Liu, Helene M Schreyer, Arno Onken, Fernando Rozenblit, Mohammad H Khani, Vidhyasankar Krishnamoorthy, Stefano Panzeri, Tim Gollisch. Nat Commun 2017
Times Cited: 19







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



Times Cited
  Times     Co-cited
Similarity


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
109
63


Mapping nonlinear receptive field structure in primate retina at single cone resolution.
Jeremy Freeman, Greg D Field, Peter H Li, Martin Greschner, Deborah E Gunning, Keith Mathieson, Alexander Sher, Alan M Litke, Liam Paninski, Eero P Simoncelli,[...]. Elife 2015
35
57

Spatio-temporal correlations and visual signalling in a complete neuronal population.
Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, E J Chichilnisky, Eero P Simoncelli. Nature 2008
560
52


Inferring hidden structure in multilayered neural circuits.
Niru Maheswaranathan, David B Kastner, Stephen A Baccus, Surya Ganguli. PLoS Comput Biol 2018
21
47

Selectivity for multiple stimulus features in retinal ganglion cells.
Adrienne L Fairhall, C Andrew Burlingame, Ramesh Narasimhan, Robert A Harris, Jason L Puchalla, Michael J Berry. J Neurophysiol 2006
108
42

Receptive fields in primate retina are coordinated to sample visual space more uniformly.
Jeffrey L Gauthier, Greg D Field, Alexander Sher, Martin Greschner, Jonathon Shlens, Alan M Litke, E J Chichilnisky. PLoS Biol 2009
47
42




The functional diversity of retinal ganglion cells in the mouse.
Tom Baden, Philipp Berens, Katrin Franke, Miroslav Román Rosón, Matthias Bethge, Thomas Euler. Nature 2016
327
36

Neural Circuit Inference from Function to Structure.
Esteban Real, Hiroki Asari, Tim Gollisch, Markus Meister. Curr Biol 2017
14
50

Spike-triggered neural characterization.
Odelia Schwartz, Jonathan W Pillow, Nicole C Rust, Eero P Simoncelli. J Vis 2006
228
36

Fast and slow contrast adaptation in retinal circuitry.
Stephen A Baccus, Markus Meister. Neuron 2002
306
36

Inferring nonlinear neuronal computation based on physiologically plausible inputs.
James M McFarland, Yuwei Cui, Daniel A Butts. PLoS Comput Biol 2013
65
36

Approach sensitivity in the retina processed by a multifunctional neural circuit.
Thomas A Münch, Rava Azeredo da Silveira, Sandra Siegert, Tim James Viney, Gautam B Awatramani, Botond Roska. Nat Neurosci 2009
174
36



Deep Learning Models of the Retinal Response to Natural Scenes.
Lane T McIntosh, Niru Maheswaranathan, Aran Nayebi, Surya Ganguli, Stephen A Baccus. Adv Neural Inf Process Syst 2016
33
31


The most numerous ganglion cell type of the mouse retina is a selective feature detector.
Yifeng Zhang, In-Jung Kim, Joshua R Sanes, Markus Meister. Proc Natl Acad Sci U S A 2012
145
31

Segregation of object and background motion in the retina.
Bence P Olveczky, Stephen A Baccus, Markus Meister. Nature 2003
214
31



Do we know what the early visual system does?
Matteo Carandini, Jonathan B Demb, Valerio Mante, David J Tolhurst, Yang Dan, Bruno A Olshausen, Jack L Gallant, Nicole C Rust. J Neurosci 2005
253
26


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
184
26





Retinal ganglion cells can rapidly change polarity from Off to On.
Maria Neimark Geffen, Saskia E J de Vries, Markus Meister. PLoS Biol 2007
67
26

The contrast sensitivity of retinal ganglion cells of the cat.
C Enroth-Cugell, J G Robson. J Physiol 1966
26

Functional circuitry of the retinal ganglion cell's nonlinear receptive field.
J B Demb, L Haarsma, M A Freed, P Sterling. J Neurosci 1999
107
26

Modeling convergent ON and OFF pathways in the early visual system.
Tim Gollisch, Markus Meister. Biol Cybern 2008
37
26

Analyzing neural responses to natural signals: maximally informative dimensions.
Tatyana Sharpee, Nicole C Rust, William Bialek. Neural Comput 2004
172
26


The challenges natural images pose for visual adaptation.
Fred Rieke, Michael E Rudd. Neuron 2009
102
21

The neural circuit mechanisms underlying the retinal response to motion reversal.
Eric Y Chen, Janice Chou, Jeongsook Park, Greg Schwartz, Michael J Berry. J Neurosci 2014
15
26

Divisive suppression explains high-precision firing and contrast adaptation in retinal ganglion cells.
Yuwei Cui, Yanbin V Wang, Silvia J H Park, Jonathan B Demb, Daniel A Butts. Elife 2016
14
28


Predicting every spike: a model for the responses of visual neurons.
J Keat, P Reinagel, R C Reid, M Meister. Neuron 2001
196
21





Anticipation of moving stimuli by the retina.
M J Berry, I H Brivanlou, T A Jordan, M Meister. Nature 1999
214
21

Natural image statistics and neural representation.
E P Simoncelli, B A Olshausen. Annu Rev Neurosci 2001
836
21

Analysis of receptive fields of cat retinal ganglion cells.
R W Rodieck, J Stone. J Neurophysiol 1965
288
21


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.