A citation-based method for searching scientific literature


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



Times Cited
  Times     Co-cited
Similarity


Precision of spike trains in primate retinal ganglion cells.
V J Uzzell, E J Chichilnisky. J Neurophysiol 2004
105
12

A Convolutional Subunit Model for Neuronal Responses in Macaque V1.
Brett Vintch, J Anthony Movshon, Eero P Simoncelli. J Neurosci 2015
35
12



The nonlinear pathway of Y ganglion cells in the cat retina.
J D Victor, R M Shapley. J Gen Physiol 1979
130
9

Cell types, circuits, computation.
Rava Azeredo da Silveira, Botond Roska. Curr Opin Neurobiol 2011
22
13

Information processing in the primate retina: circuitry and coding.
G D Field, E J Chichilnisky. Annu Rev Neurosci 2007
162
9

Retinal prosthetic strategy with the capacity to restore normal vision.
Sheila Nirenberg, Chethan Pandarinath. Proc Natl Acad Sci U S A 2012
105
9







Effects of stimulus transformations on estimates of sensory neuron selectivity.
Alexander G Dimitrov, Tomás Gedeon. J Comput Neurosci 2006
14
21





Neural population coding of sound level adapts to stimulus statistics.
Isabel Dean, Nicol S Harper, David McAlpine. Nat Neurosci 2005
307
9

Shifting and scaling adaptation to dynamic stimuli in somatosensory cortex.
J A Garcia-Lazaro, S S M Ho, A Nair, J W H Schnupp. Eur J Neurosci 2007
27
11




Contrast gain control in auditory cortex.
Neil C Rabinowitz, Ben D B Willmore, Jan W H Schnupp, Andrew J King. Neuron 2011
131
9

Short-term adaptation of auditory receptive fields to dynamic stimuli.
Mark N Kvale, Christoph E Schreiner. J Neurophysiol 2004
95
9

Profound contrast adaptation early in the visual pathway.
Samuel G Solomon, Jonathan W Peirce, Neel T Dhruv, Peter Lennie. Neuron 2004
205
9

Timescales of inference in visual adaptation.
Barry Wark, Adrienne Fairhall, Fred Rieke. Neuron 2009
117
9



Cone inputs to simple and complex cells in V1 of awake macaque.
Gregory D Horwitz, E J Chichilnisky, Thomas D Albright. J Neurophysiol 2007
47
9

The information content of receptive fields.
Thomas L Adelman, William Bialek, Robert M Olberg. Neuron 2003
39
9

Estimating linear-nonlinear models using Renyi divergences.
Minjoon Kouh, Tatyana O Sharpee. Network 2009
21
14


Statistical models for neural encoding, decoding, and optimal stimulus design.
Liam Paninski, Jonathan Pillow, Jeremy Lewi. Prog Brain Res 2007
123
9



Hierarchical computation in the canonical auditory cortical circuit.
Craig A Atencio, Tatyana O Sharpee, Christoph E Schreiner. Proc Natl Acad Sci U S A 2009
72
9

Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
767
9


Natural signal statistics and sensory gain control.
O Schwartz, E P Simoncelli. Nat Neurosci 2001
416
9

Receptive field characterization by spike-triggered independent component analysis.
Aman B Saleem, Holger G Krapp, Simon R Schultz. J Vis 2008
10
30

The role of delayed suppression in slow and fast contrast adaptation in V1 simple cells.
Manuel Levy, Julien Fournier, Yves Frégnac. J Neurosci 2013
12
25


Spike triggered covariance in strongly correlated gaussian stimuli.
Johnatan Aljadeff, Ronen Segev, Michael J Berry, Tatyana O Sharpee. PLoS Comput Biol 2013
7
42

Decoding neuronal spike trains: how important are correlations?
Sheila Nirenberg, Peter E Latham. Proc Natl Acad Sci U S A 2003
121
9

Correcting for the sampling bias problem in spike train information measures.
Stefano Panzeri, Riccardo Senatore, Marcelo A Montemurro, Rasmus S Petersen. J Neurophysiol 2007
226
9


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
273
9

The episodic nature of spike trains in the early visual pathway.
Daniel A Butts, Gaëlle Desbordes, Chong Weng, Jianzhong Jin, Jose-Manuel Alonso, Garrett B Stanley. J Neurophysiol 2010
21
14


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.