A citation-based method for searching scientific literature

Tatyana O Sharpee. Annu Rev Neurosci 2013
Times Cited: 43







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



Times Cited
  Times     Co-cited
Similarity


Deep neural networks rival the representation of primate IT cortex for core visual object recognition.
Charles F Cadieu, Ha Hong, Daniel L K Yamins, Nicolas Pinto, Diego Ardila, Ethan A Solomon, Najib J Majaj, James J DiCarlo. PLoS Comput Biol 2014
173
6

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
39
7

Sparse codes for speech predict spectrotemporal receptive fields in the inferior colliculus.
Nicole L Carlson, Vivienne L Ming, Michael Robert Deweese. PLoS Comput Biol 2012
33
9

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

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
18

Analysis of Neuronal Spike Trains, Deconstructed.
Johnatan Aljadeff, Benjamin J Lansdell, Adrienne L Fairhall, David Kleinfeld. Neuron 2016
31
9

Correlations and Neuronal Population Information.
Adam Kohn, Ruben Coen-Cagli, Ingmar Kanitscheider, Alexandre Pouget. Annu Rev Neurosci 2016
114
6

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
7

Models of Neuronal Stimulus-Response Functions: Elaboration, Estimation, and Evaluation.
Arne F Meyer, Ross S Williamson, Jennifer F Linden, Maneesh Sahani. Front Syst Neurosci 2017
23
13

Flexible gating of contextual influences in natural vision.
Ruben Coen-Cagli, Adam Kohn, Odelia Schwartz. Nat Neurosci 2015
62
6

How Do Efficient Coding Strategies Depend on Origins of Noise in Neural Circuits?
Braden A W Brinkman, Alison I Weber, Fred Rieke, Eric Shea-Brown. PLoS Comput Biol 2016
16
18

Optimal population coding by noisy spiking neurons.
Gasper Tkacik, Jason S Prentice, Vijay Balasubramanian, Elad Schneidman. Proc Natl Acad Sci U S A 2010
90
6

A theory of maximizing sensory information.
J H van Hateren. Biol Cybern 1992
130
6


A simple model of optimal population coding for sensory systems.
Eizaburo Doi, Michael S Lewicki. PLoS Comput Biol 2014
17
17


Inhibition decorrelates visual feature representations in the inner retina.
Katrin Franke, Philipp Berens, Timm Schubert, Matthias Bethge, Thomas Euler, Tom Baden. Nature 2017
74
6

Estimating nonlinear receptive fields from natural images.
Joaquín Rapela, Jerry M Mendel, Norberto M Grzywacz. J Vis 2006
14
14



In praise of artifice.
Nicole C Rust, J Anthony Movshon. Nat Neurosci 2005
120
4


Parallel input channels to mouse primary visual cortex.
Enquan Gao, Gregory C DeAngelis, Andreas Burkhalter. J Neurosci 2010
83
4

Dynamics of spatial frequency tuning in macaque V1.
C E Bredfeldt, D L Ringach. J Neurosci 2002
123
4

Complex cells increase their phase sensitivity at low contrasts and following adaptation.
N A Crowder, J van Kleef, B Dreher, M R Ibbotson. J Neurophysiol 2007
32
6

Temporal precision in the neural code and the timescales of natural vision.
Daniel A Butts, Chong Weng, Jianzhong Jin, Chun-I Yeh, Nicholas A Lesica, Jose-Manuel Alonso, Garrett B Stanley. Nature 2007
193
4

Functional organization of owl monkey lateral geniculate nucleus and visual cortex.
L P O'Keefe, J B Levitt, D C Kiper, R M Shapley, J A Movshon. J Neurophysiol 1998
69
4


Cortical-like receptive fields in the lateral geniculate nucleus of marmoset monkeys.
Soon Keen Cheong, Chris Tailby, Samuel G Solomon, Paul R Martin. J Neurosci 2013
70
4



The brain activity map project and the challenge of functional connectomics.
A Paul Alivisatos, Miyoung Chun, George M Church, Ralph J Greenspan, Michael L Roukes, Rafael Yuste. Neuron 2012
246
4



A generalized linear model of the impact of direct and indirect inputs to the lateral geniculate nucleus.
Baktash Babadi, Alexander Casti, Youping Xiao, Ehud Kaplan, Liam Paninski. J Vis 2010
19
10



Active sensation: insights from the rodent vibrissa sensorimotor system.
David Kleinfeld, Ehud Ahissar, Mathew E Diamond. Curr Opin Neurobiol 2006
236
4

Vibrissa-based object localization in head-fixed mice.
Daniel H O'Connor, Nathan G Clack, Daniel Huber, Takaki Komiyama, Eugene W Myers, Karel Svoboda. J Neurosci 2010
180
4

Encoding of vibrissal active touch.
Marcin Szwed, Knarik Bagdasarian, Ehud Ahissar. Neuron 2003
191
4

The mechanical variables underlying object localization along the axis of the whisker.
Lorenz Pammer, Daniel H O'Connor, S Andrew Hires, Nathan G Clack, Daniel Huber, Eugene W Myers, Karel Svoboda. J Neurosci 2013
71
4


Cross-whisker adaptation of neurons in the rat barrel cortex.
Yonatan Katz, Jaime E Heiss, Ilan Lampl. J Neurosci 2006
74
4

An embedded subnetwork of highly active neurons in the neocortex.
Lina Yassin, Brett L Benedetti, Jean-Sébastien Jouhanneau, Jing A Wen, James F A Poulet, Alison L Barth. Neuron 2010
131
4

Whisking and whisker kinematics during a texture classification task.
Yanfang Zuo, Igor Perkon, Mathew E Diamond. Philos Trans R Soc Lond B Biol Sci 2011
40
5


'Where' and 'what' in the whisker sensorimotor system.
Mathew E Diamond, Moritz von Heimendahl, Per Magne Knutsen, David Kleinfeld, Ehud Ahissar. Nat Rev Neurosci 2008
319
4


Neural coding and contextual influences in the whisker system.
Rasmus S Petersen, Stefano Panzeri, Miguel Maravall. Biol Cybern 2009
28
7

Reorganization of cortical population activity imaged throughout long-term sensory deprivation.
David J Margolis, Henry Lütcke, Kristina Schulz, Florent Haiss, Bruno Weber, Sebastian Kügler, Mazahir T Hasan, Fritjof Helmchen. Nat Neurosci 2012
112
4


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.