A citation-based method for searching scientific literature

Gabriela Czanner, Uri T Eden, Sylvia Wirth, Marianna Yanike, Wendy A Suzuki, Emery N Brown. J Neurophysiol 2008
Times Cited: 64







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



Times Cited
  Times     Co-cited
Similarity


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
493
76

The time-rescaling theorem and its application to neural spike train data analysis.
Emery N Brown, Riccardo Barbieri, Valérie Ventura, Robert E Kass, Loren M Frank. Neural Comput 2002
254
35


Multiple neural spike train data analysis: state-of-the-art and future challenges.
Emery N Brown, Robert E Kass, Partha P Mitra. Nat Neurosci 2004
375
32

Estimating a state-space model from point process observations.
Anne C Smith, Emery N Brown. Neural Comput 2003
158
28

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
23

An analysis of neural receptive field plasticity by point process adaptive filtering.
E N Brown, D P Nguyen, L M Frank, M A Wilson, V Solo. Proc Natl Acad Sci U S A 2001
68
23

Dynamic analysis of neural encoding by point process adaptive filtering.
Uri T Eden, Loren M Frank, Riccardo Barbieri, Victor Solo, Emery N Brown. Neural Comput 2004
170
21

A spike-train probability model.
R E Kass, V Ventura. Neural Comput 2001
118
21

Construction and analysis of non-Poisson stimulus-response models of neural spiking activity.
R Barbieri, M C Quirk, L M Frank, M A Wilson, E N Brown. J Neurosci Methods 2001
113
18

Contrasting patterns of receptive field plasticity in the hippocampus and the entorhinal cortex: an adaptive filtering approach.
Loren M Frank, Uri T Eden, Victor Solo, Matthew A Wilson, Emery N Brown. J Neurosci 2002
42
28


Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes.
Wilson Truccolo, Leigh R Hochberg, John P Donoghue. Nat Neurosci 2010
127
17

Statistical issues in the analysis of neuronal data.
Robert E Kass, Valérie Ventura, Emery N Brown. J Neurophysiol 2005
162
15

Common-input models for multiple neural spike-train data.
Jayant E Kulkarni, Liam Paninski. Network 2007
59
15


Dynamic analysis of learning in behavioral experiments.
Anne C Smith, Loren M Frank, Sylvia Wirth, Marianna Yanike, Dan Hu, Yasuo Kubota, Ann M Graybiel, Wendy A Suzuki, Emery N Brown. J Neurosci 2004
161
14

A new look at state-space models for neural data.
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreira, Shinsuke Koyama, Kamiar Rahnama Rad, Michael Vidne, Joshua Vogelstein, Wei Wu. J Comput Neurosci 2010
84
12

Using point process models to compare neural spiking activity in the subthalamic nucleus of Parkinson's patients and a healthy primate.
Sridevi V Sarma, Uri T Eden, Ming L Cheng, Ziv M Williams, Rollin Hu, Emad Eskandar, Emery N Brown. IEEE Trans Biomed Eng 2010
40
20

Maximum likelihood identification of neural point process systems.
E S Chornoboy, L P Schramm, A F Karr. Biol Cybern 1988
68
10

Statistical smoothing of neuronal data.
Robert E Kass, Valérie Ventura, Can Cai. Network 2003
65
10

Detecting neural-state transitions using hidden Markov models for motor cortical prostheses.
Caleb Kemere, Gopal Santhanam, Byron M Yu, Afsheen Afshar, Stephen I Ryu, Teresa H Meng, Krishna V Shenoy. J Neurophysiol 2008
80
10

Dynamic analyses of information encoding in neural ensembles.
Riccardo Barbieri, Loren M Frank, David P Nguyen, Michael C Quirk, Victor Solo, Matthew A Wilson, Emery N Brown. Neural Comput 2004
71
10

Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model.
Liam Paninski, Jonathan W Pillow, Eero P Simoncelli. Neural Comput 2004
153
9


Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity.
Byron M Yu, John P Cunningham, Gopal Santhanam, Stephen I Ryu, Krishna V Shenoy, Maneesh Sahani. J Neurophysiol 2009
214
9

Construction of point process adaptive filter algorithms for neural systems using sequential Monte Carlo methods.
Ayla Ergün, Riccardo Barbieri, Uri T Eden, Matthew A Wilson, Emery N Brown. IEEE Trans Biomed Eng 2007
42
14

Analysis and design of behavioral experiments to characterize population learning.
Anne C Smith, Mark R Stefani, Bita Moghaddam, Emery N Brown. J Neurophysiol 2005
25
24

Organization of cell assemblies in the hippocampus.
Kenneth D Harris, Jozsef Csicsvari, Hajime Hirase, George Dragoi, György Buzsáki. Nature 2003
470
9

Weak pairwise correlations imply strongly correlated network states in a neural population.
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
729
7

Correlations without synchrony
Brody. Neural Comput 1999
216
7


Dynamics of neuronal firing correlation: modulation of "effective connectivity".
A M Aertsen, G L Gerstein, M K Habib, G Palm. J Neurophysiol 1989
701
7

Bayesian population decoding of motor cortical activity using a Kalman filter.
Wei Wu, Yun Gao, Elie Bienenstock, John P Donoghue, Michael J Black. Neural Comput 2006
216
7

Recursive bayesian decoding of motor cortical signals by particle filtering.
A E Brockwell, A L Rojas, R E Kass. J Neurophysiol 2004
119
7

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
7


Natural stimuli evoke dynamic sequences of states in sensory cortical ensembles.
Lauren M Jones, Alfredo Fontanini, Brian F Sadacca, Paul Miller, Donald B Katz. Proc Natl Acad Sci U S A 2007
146
7

Inferring input nonlinearities in neural encoding models.
Misha B Ahrens, Liam Paninski, Maneesh Sahani. Network 2008
50
10

Single neurons in the monkey hippocampus and learning of new associations.
Sylvia Wirth, Marianna Yanike, Loren M Frank, Anne C Smith, Emery N Brown, Wendy A Suzuki. Science 2003
235
7


Statistical models for neural encoding, decoding, and optimal stimulus design.
Liam Paninski, Jonathan Pillow, Jeremy Lewi. Prog Brain Res 2007
124
7


Inferring functional connections between neurons.
Ian H Stevenson, James M Rebesco, Lee E Miller, Konrad P Körding. Curr Opin Neurobiol 2008
74
7


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
7




Neural coding: higher-order temporal patterns in the neurostatistics of cell assemblies.
L Martignon, G Deco, K Laskey, M Diamond, W Freiwald, E Vaadia. Neural Comput 2000
86
6


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.