A citation-based method for searching scientific literature


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



Times Cited
  Times     Co-cited
Similarity


Neural correlations, population coding and computation.
Bruno B Averbeck, Peter E Latham, Alexandre Pouget. Nat Rev Neurosci 2006
834
53



Decorrelated neuronal firing in cortical microcircuits.
Alexander S Ecker, Philipp Berens, Georgios A Keliris, Matthias Bethge, Nikos K Logothetis, Andreas S Tolias. Science 2010
365
33


Measuring and interpreting neuronal correlations.
Marlene R Cohen, Adam Kohn. Nat Neurosci 2011
515
31


Correlations and the encoding of information in the nervous system.
S Panzeri, S R Schultz, A Treves, E T Rolls. Proc Biol Sci 1999
174
26



The asynchronous state in cortical circuits.
Alfonso Renart, Jaime de la Rocha, Peter Bartho, Liad Hollender, Néstor Parga, Alex Reyes, Kenneth D Harris. Science 2010
561
24

Population coding in neuronal systems with correlated noise.
H Sompolinsky, H Yoon, K Kang, M Shamir. Phys Rev E Stat Nonlin Soft Matter Phys 2001
205
23

Synergy, redundancy, and independence in population codes.
Elad Schneidman, William Bialek, Michael J Berry. J Neurosci 2003
227
23

Independent and redundant information in nearby cortical neurons.
D S Reich, F Mechler, J D Victor. Science 2001
181
22

Weak pairwise correlations imply strongly correlated network states in a neural population.
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
729
22


Correlation between neural spike trains increases with firing rate.
Jaime de la Rocha, Brent Doiron, Eric Shea-Brown, Kresimir Josić, Alex Reyes. Nature 2007
388
20

The effect of noise correlations in populations of diversely tuned neurons.
Alexander S Ecker, Philipp Berens, Andreas S Tolias, Matthias Bethge. J Neurosci 2011
141
18


Effects of noise correlations on information encoding and decoding.
Bruno B Averbeck, Daeyeol Lee. J Neurophysiol 2006
114
17

Retinal ganglion cells act largely as independent encoders.
S Nirenberg, S M Carcieri, A L Jacobs, P E Latham. Nature 2001
182
16

The 'Ideal Homunculus': decoding neural population signals.
M W Oram, P Földiák, D I Perrett, F Sengpiel. Trends Neurosci 1998
160
15


Synergy, redundancy, and independence in population codes, revisited.
Peter E Latham, Sheila Nirenberg. J Neurosci 2005
112
14

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
596
14

Correlated neuronal discharges that increase coding efficiency during perceptual discrimination.
Ranulfo Romo, Adrián Hernández, Antonio Zainos, Emilio Salinas. Neuron 2003
150
14

State dependence of noise correlations in macaque primary visual cortex.
Alexander S Ecker, Philipp Berens, R James Cotton, Manivannan Subramaniyan, George H Denfield, Cathryn R Cadwell, Stelios M Smirnakis, Matthias Bethge, Andreas S Tolias. Neuron 2014
182
14

Adaptive coding of visual information in neural populations.
Diego A Gutnisky, Valentin Dragoi. Nature 2008
189
13

Spatial attention decorrelates intrinsic activity fluctuations in macaque area V4.
Jude F Mitchell, Kristy A Sundberg, John H Reynolds. Neuron 2009
428
13

Information theory and neural coding.
A Borst, F E Theunissen. Nat Neurosci 1999
570
12


Correcting for the sampling bias problem in spike train information measures.
Stefano Panzeri, Riccardo Senatore, Marcelo A Montemurro, Rasmus S Petersen. J Neurophysiol 2007
227
12

Adjacent visual cortical complex cells share about 20% of their stimulus-related information.
T J Gawne, T W Kjaer, J A Hertz, B J Richmond. Cereb Cortex 1996
87
12

Synergy in a neural code.
N Brenner, S P Strong, R Koberle, W Bialek, R R de Ruyter van Steveninck. Neural Comput 2000
187
11



Decoding neuronal spike trains: how important are correlations?
Sheila Nirenberg, Peter E Latham. Proc Natl Acad Sci U S A 2003
122
10

Neuronal interactions improve cortical population coding of movement direction.
E M Maynard, N G Hatsopoulos, C L Ojakangas, B D Acuna, J N Sanes, R A Normann, J P Donoghue. J Neurosci 1999
182
10

A toolbox for the fast information analysis of multiple-site LFP, EEG and spike train recordings.
Cesare Magri, Kevin Whittingstall, Vanessa Singh, Nikos K Logothetis, Stefano Panzeri. BMC Neurosci 2009
135
10

Stimulus onset quenches neural variability: a widespread cortical phenomenon.
Mark M Churchland, Byron M Yu, John P Cunningham, Leo P Sugrue, Marlene R Cohen, Greg S Corrado, William T Newsome, Andrew M Clark, Paymon Hosseini, Benjamin B Scott,[...]. Nat Neurosci 2010
528
10

Perceptual learning reduces interneuronal correlations in macaque visual cortex.
Yong Gu, Sheng Liu, Christopher R Fetsch, Yun Yang, Sam Fok, Adhira Sunkara, Gregory C DeAngelis, Dora E Angelaki. Neuron 2011
132
10


Population coding of stimulus location in rat somatosensory cortex.
R S Petersen, S Panzeri, M E Diamond. Neuron 2001
162
9

The structure of multi-neuron firing patterns in primate retina.
Jonathon Shlens, Greg D Field, Jeffrey L Gauthier, Matthew I Grivich, Dumitru Petrusca, Alexander Sher, Alan M Litke, E J Chichilnisky. J Neurosci 2006
249
9

The role of correlations in direction and contrast coding in the primary visual cortex.
Fernando Montani, Adam Kohn, Matthew A Smith, Simon R Schultz. J Neurosci 2007
58
15

Context-dependent changes in functional circuitry in visual area MT.
Marlene R Cohen, William T Newsome. Neuron 2008
158
9

Associative learning enhances population coding by inverting interneuronal correlation patterns.
James M Jeanne, Tatyana O Sharpee, Timothy Q Gentner. Neuron 2013
79
11

Correlated variability in laminar cortical circuits.
Bryan J Hansen, Mircea I Chelaru, Valentin Dragoi. Neuron 2012
85
10

Stimulus-dependent correlations and population codes.
Kresimir Josić, Eric Shea-Brown, Brent Doiron, Jaime de la Rocha. Neural Comput 2009
47
17



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.