Evan C Smith, Michael S Lewicki. Nature 2006
Times Cited: 209
Times Cited: 209
Times Cited
Times Co-cited
Similarity
Emergence of simple-cell receptive field properties by learning a sparse code for natural images.
B A Olshausen, D J Field. Nature 1996
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Natural image statistics and neural representation.
E P Simoncelli, B A Olshausen. Annu Rev Neurosci 2001
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The "independent components" of natural scenes are edge filters.
A J Bell, T J Sejnowski. Vision Res 1997
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Sparse coding with an overcomplete basis set: a strategy employed by V1?
B A Olshausen, D J Field. Vision Res 1997
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Modulation spectra of natural sounds and ethological theories of auditory processing.
Nandini C Singh, Frédéric E Theunissen. J Acoust Soc Am 2003
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A simple coding procedure enhances a neuron's information capacity.
S Laughlin. Z Naturforsch C Biosci 1981
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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
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Independent component filters of natural images compared with simple cells in primary visual cortex.
J H van Hateren, A van der Schaaf. Proc Biol Sci 1998
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Tuning for spectro-temporal modulations as a mechanism for auditory discrimination of natural sounds.
Sarah M N Woolley, Thane E Fremouw, Anne Hsu, Frédéric E Theunissen. Nat Neurosci 2005
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11
Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.
R P Rao, D H Ballard. Nat Neurosci 1999
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Spectro-temporal response field characterization with dynamic ripples in ferret primary auditory cortex.
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10
Spectral-temporal receptive fields of nonlinear auditory neurons obtained using natural sounds.
F E Theunissen, K Sen, A J Doupe. J Neurosci 2000
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9
Natural signal statistics and sensory gain control.
O Schwartz, E P Simoncelli. Nat Neurosci 2001
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9
Predictive coding: a fresh view of inhibition in the retina.
M V Srinivasan, S B Laughlin, A Dubs. Proc R Soc Lond B Biol Sci 1982
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9
Multiresolution spectrotemporal analysis of complex sounds.
Taishih Chi, Powen Ru, Shihab A Shamma. J Acoust Soc Am 2005
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9
Learning Midlevel Auditory Codes from Natural Sound Statistics.
Wiktor Młynarski, Josh H McDermott. Neural Comput 2018
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39
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex.
D H HUBEL, T N WIESEL. J Physiol 1962
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8
Sparse representation of sounds in the unanesthetized auditory cortex.
Tomás Hromádka, Michael R Deweese, Anthony M Zador. PLoS Biol 2008
Tomás Hromádka, Michael R Deweese, Anthony M Zador. PLoS Biol 2008
8
Sound texture perception via statistics of the auditory periphery: evidence from sound synthesis.
Josh H McDermott, Eero P Simoncelli. Neuron 2011
Josh H McDermott, Eero P Simoncelli. Neuron 2011
8
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Analyzing neural responses to natural signals: maximally informative dimensions.
Tatyana Sharpee, Nicole C Rust, William Bialek. Neural Comput 2004
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7
Naturalistic stimuli increase the rate and efficiency of information transmission by primary auditory afferents.
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7
Efficiency and ambiguity in an adaptive neural code.
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7
Efficient coding of spatial information in the primate retina.
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15
Sparse coding and decorrelation in primary visual cortex during natural vision.
W E Vinje, J L Gallant. Science 2000
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7
Decorrelation and efficient coding by retinal ganglion cells.
Xaq Pitkow, Markus Meister. Nat Neurosci 2012
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7
Could information theory provide an ecological theory of sensory processing?
Joseph J Atick. Network 2011
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6
A sparse coding model with synaptically local plasticity and spiking neurons can account for the diverse shapes of V1 simple cell receptive fields.
Joel Zylberberg, Jason Timothy Murphy, Michael Robert DeWeese. PLoS Comput Biol 2011
Joel Zylberberg, Jason Timothy Murphy, Michael Robert DeWeese. PLoS Comput Biol 2011
10
Efficient coding of natural scenes in the lateral geniculate nucleus: experimental test of a computational theory.
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6
Relations between the statistics of natural images and the response properties of cortical cells.
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6
Benefits of pathway splitting in sensory coding.
Julijana Gjorgjieva, Haim Sompolinsky, Markus Meister. J Neurosci 2014
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9
Performance-optimized hierarchical models predict neural responses in higher visual cortex.
Daniel L K Yamins, Ha Hong, Charles F Cadieu, Ethan A Solomon, Darren Seibert, James J DiCarlo. Proc Natl Acad Sci U S A 2014
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6
Spatial structure and symmetry of simple-cell receptive fields in macaque primary visual cortex.
Dario L Ringach. J Neurophysiol 2002
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6
Sparse coding via thresholding and local competition in neural circuits.
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Christopher J Rozell, Don H Johnson, Richard G Baraniuk, Bruno A Olshausen. Neural Comput 2008
7
Central auditory neurons have composite receptive fields.
Andrei S Kozlov, Timothy Q Gentner. Proc Natl Acad Sci U S A 2016
Andrei S Kozlov, Timothy Q Gentner. Proc Natl Acad Sci U S A 2016
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6
Energy as a constraint on the coding and processing of sensory information.
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6
Testing the efficiency of sensory coding with optimal stimulus ensembles.
Christian K Machens, Tim Gollisch, Olga Kolesnikova, Andreas V M Herz. Neuron 2005
Christian K Machens, Tim Gollisch, Olga Kolesnikova, Andreas V M Herz. Neuron 2005
7
Reduction of information redundancy in the ascending auditory pathway.
Gal Chechik, Michael J Anderson, Omer Bar-Yosef, Eric D Young, Naftali Tishby, Israel Nelken. Neuron 2006
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5
Spectrotemporal receptive fields in the lemniscal auditory thalamus and cortex.
Lee M Miller, Monty A Escabí, Heather L Read, Christoph E Schreiner. J Neurophysiol 2002
Lee M Miller, Monty A Escabí, Heather L Read, Christoph E Schreiner. J Neurophysiol 2002
5
Auditory abstraction from spectro-temporal features to coding auditory entities.
Gal Chechik, Israel Nelken. Proc Natl Acad Sci U S A 2012
Gal Chechik, Israel Nelken. Proc Natl Acad Sci U S A 2012
17
Inhibitory interneurons decorrelate excitatory cells to drive sparse code formation in a spiking model of V1.
Paul D King, Joel Zylberberg, Michael R DeWeese. J Neurosci 2013
Paul D King, Joel Zylberberg, Michael R DeWeese. J Neurosci 2013
9
Adaptive filtering enhances information transmission in visual cortex.
Tatyana O Sharpee, Hiroki Sugihara, Andrei V Kurgansky, Sergei P Rebrik, Michael P Stryker, Kenneth D Miller. Nature 2006
Tatyana O Sharpee, Hiroki Sugihara, Andrei V Kurgansky, Sergei P Rebrik, Michael P Stryker, Kenneth D Miller. Nature 2006
5
Fast and robust fixed-point algorithms for independent component analysis.
A Hyvärinen. IEEE Trans Neural Netw 1999
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5
Receptive fields of single neurones in the cat's striate cortex.
D H HUBEL, T N WIESEL. J Physiol 1959
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5
Optimal population coding by noisy spiking neurons.
Gasper Tkacik, Jason S Prentice, Vijay Balasubramanian, Elad Schneidman. Proc Natl Acad Sci U S A 2010
Gasper Tkacik, Jason S Prentice, Vijay Balasubramanian, Elad Schneidman. Proc Natl Acad Sci U S A 2010
5
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.