A citation-based method for searching scientific literature

Qing Shi, Pranjal Gupta, Alexandra K Boukhvalova, Joshua H Singer, Daniel A Butts. Sci Rep 2019
Times Cited: 6







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



Times Cited
  Times     Co-cited
Similarity


Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization.
Jian K Liu, Helene M Schreyer, Arno Onken, Fernando Rozenblit, Mohammad H Khani, Vidhyasankar Krishnamoorthy, Stefano Panzeri, Tim Gollisch. Nat Commun 2017
22
66

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
115
50

Inferring nonlinear neuronal computation based on physiologically plausible inputs.
James M McFarland, Yuwei Cui, Daniel A Butts. PLoS Comput Biol 2013
70
50

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
571
50

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
38
50

Inferring hidden structure in multilayered neural circuits.
Niru Maheswaranathan, David B Kastner, Stephen A Baccus, Surya Ganguli. PLoS Comput Biol 2018
22
50


Spike-triggered neural characterization.
Odelia Schwartz, Jonathan W Pillow, Nicole C Rust, Eero P Simoncelli. J Vis 2006
230
50




Functional asymmetries in ON and OFF ganglion cells of primate retina.
E J Chichilnisky, Rachel S Kalmar. J Neurosci 2002
218
50


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
255
33

Spatiotemporal elements of macaque v1 receptive fields.
Nicole C Rust, Odelia Schwartz, J Anthony Movshon, Eero P Simoncelli. Neuron 2005
248
33

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
33




A synaptic mechanism for retinal adaptation to luminance and contrast.
Tim Jarsky, Mark Cembrowski, Stephen M Logan, William L Kath, Hermann Riecke, Jonathan B Demb, Joshua H Singer. J Neurosci 2011
72
33

Modeling convergent ON and OFF pathways in the early visual system.
Tim Gollisch, Markus Meister. Biol Cybern 2008
37
33

Spatiotemporal energy models for the perception of motion.
E H Adelson, J R Bergen. J Opt Soc Am A 1985
33

Analyzing neural responses to natural signals: maximally informative dimensions.
Tatyana Sharpee, Nicole C Rust, William Bialek. Neural Comput 2004
172
33

Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
703
33


Inhibition decorrelates visual feature representations in the inner retina.
Katrin Franke, Philipp Berens, Timm Schubert, Matthias Bethge, Thomas Euler, Tom Baden. Nature 2017
73
33

Four alpha ganglion cell types in mouse retina: Function, structure, and molecular signatures.
Brenna Krieger, Mu Qiao, David L Rousso, Joshua R Sanes, Markus Meister. PLoS One 2017
63
33

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
51
33

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
343
33


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
150
33



The tasks of amacrine cells.
Richard H Masland. Vis Neurosci 2012
64
33

Non-parametric Physiological Classification of Retinal Ganglion Cells in the Mouse Retina.
Jonathan Jouty, Gerrit Hilgen, Evelyne Sernagor, Matthias H Hennig. Front Cell Neurosci 2018
5
40


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
180
33


Inference of nonlinear receptive field subunits with spike-triggered clustering.
Nishal P Shah, Nora Brackbill, Colleen Rhoades, Alexandra Kling, Georges Goetz, Alan M Litke, Alexander Sher, Eero P Simoncelli, E J Chichilnisky. Elife 2020
5
40

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
38
33

Functional circuitry of the retinal ganglion cell's nonlinear receptive field.
J B Demb, L Haarsma, M A Freed, P Sterling. J Neurosci 1999
110
33

Two-photon imaging of nonlinear glutamate release dynamics at bipolar cell synapses in the mouse retina.
Bart G Borghuis, Jonathan S Marvin, Loren L Looger, Jonathan B Demb. J Neurosci 2013
104
33



A retinal circuit that computes object motion.
Stephen A Baccus, Bence P Olveczky, Mihai Manu, Markus Meister. J Neurosci 2008
92
33


Diverse suppressive influences in area MT and selectivity to complex motion features.
Yuwei Cui, Liu D Liu, Farhan A Khawaja, Christopher C Pack, Daniel A Butts. J Neurosci 2013
25
16

A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects.
Wilson Truccolo, Uri T Eden, Matthew R Fellows, John P Donoghue, Emery N Brown. J Neurophysiol 2005
465
16

Nonlinear V1 responses to natural scenes revealed by neural network analysis.
Ryan Prenger, Michael C-K Wu, Stephen V David, Jack L Gallant. Neural Netw 2004
34
16

Deep learning in neural networks: an overview.
Jürgen Schmidhuber. Neural Netw 2015
16


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.