A citation-based method for searching scientific literature

Surya Tokdar, Peiyi Xi, Ryan C Kelly, Robert E Kass. J Comput Neurosci 2010
Times Cited: 26







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



Times Cited
  Times     Co-cited
Similarity


Discrete- and continuous-time probabilistic models and algorithms for inferring neuronal UP and DOWN states.
Zhe Chen, Sujith Vijayan, Riccardo Barbieri, Matthew A Wilson, Emery N Brown. Neural Comput 2009
21
42


A nonparametric approach for detection of bursts in spike trains.
Boris Gourévitch, Jos J Eggermont. J Neurosci Methods 2007
46
30

Identification of bursts in spike trains.
J H Cocatre-Zilgien, F Delcomyn. J Neurosci Methods 1992
71
26

Cortical activity flips among quasi-stationary states.
M Abeles, H Bergman, I Gat, I Meilijson, E Seidemann, N Tishby, E Vaadia. Proc Natl Acad Sci U S A 1995
153
23

A self-adapting approach for the detection of bursts and network bursts in neuronal cultures.
Valentina Pasquale, Sergio Martinoia, Michela Chiappalone. J Comput Neurosci 2010
48
23

Detection of bursts and pauses in spike trains.
D Ko, C J Wilson, C J Lobb, C A Paladini. J Neurosci Methods 2012
29
23

A spike-train probability model.
R E Kass, V Ventura. Neural Comput 2001
118
19

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
495
19

Burst and oscillation as disparate neuronal properties.
Y Kaneoke, J L Vitek. J Neurosci Methods 1996
215
19

Methods for characterizing interspike intervals and identifying bursts in neuronal activity.
Jonathan V Selinger, Nadezhda V Kulagina, Thomas J O'Shaughnessy, Wu Ma, Joseph J Pancrazio. J Neurosci Methods 2007
30
19

Burst analysis tool for developing neuronal networks exhibiting highly varying action potential dynamics.
Fikret E Kapucu, Jarno M A Tanskanen, Jarno E Mikkonen, Laura Ylä-Outinen, Susanna Narkilahti, Jari A K Hyttinen. Front Comput Neurosci 2012
40
19

An extremely rich repertoire of bursting patterns during the development of cortical cultures.
Daniel A Wagenaar, Jerome Pine, Steve M Potter. BMC Neurosci 2006
364
19



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

Spiking signatures of spontaneous activity bursts in hippocampal cultures.
Alexey Pimashkin, Innokentiy Kastalskiy, Alexander Simonov, Ekaterina Koryagina, Irina Mukhina, Victor Kazantsev. Front Comput Neurosci 2011
23
17

Parameters for burst detection.
Douglas J Bakkum, Milos Radivojevic, Urs Frey, Felix Franke, Andreas Hierlemann, Hirokazu Takahashi. Front Comput Neurosci 2014
35
15

Enhancement of visual responsiveness by spontaneous local network activity in vivo.
Bilal Haider, Alvaro Duque, Andrea R Hasenstaub, Yuguo Yu, David A McCormick. J Neurophysiol 2007
94
11

Estimating a state-space model from point process observations.
Anne C Smith, Emery N Brown. Neural Comput 2003
158
11

Stimulus dependence of two-state fluctuations of membrane potential in cat visual cortex.
J Anderson, I Lampl, I Reichova, M Carandini, D Ferster. Nat Neurosci 2000
147
11

Statistical smoothing of neuronal data.
Robert E Kass, Valérie Ventura, Can Cai. Network 2003
65
11

Cellular and network mechanisms of rhythmic recurrent activity in neocortex.
M V Sanchez-Vives, D A McCormick. Nat Neurosci 2000
935
11

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
148
11

Chronux: a platform for analyzing neural signals.
Hemant Bokil, Peter Andrews, Jayant E Kulkarni, Samar Mehta, Partha P Mitra. J Neurosci Methods 2010
415
11

Hippocampal sharp wave bursts coincide with neocortical "up-state" transitions.
Francesco P Battaglia, Gary R Sutherland, Bruce L McNaughton. Learn Mem 2004
175
11


Explicit-duration hidden Markov model inference of UP-DOWN states from continuous signals.
James M McFarland, Thomas T G Hahn, Mayank R Mehta. PLoS One 2011
9
33

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
601
11

Trial-to-trial variability and its effect on time-varying dependency between two neurons.
Valérie Ventura, Can Cai, Robert E Kass. J Neurophysiol 2005
40
11

Statistical properties of pauses of the high-frequency discharge neurons in the external segment of the globus pallidus.
Shlomo Elias, Mati Joshua, Joshua A Goldberg, Gali Heimer, David Arkadir, Genela Morris, Hagai Bergman. J Neurosci 2007
66
11


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
257
11

The string method of burst identification in neuronal spike trains.
Lon Turnbull, Emese Dian, Guenter Gross. J Neurosci Methods 2005
22
13

On the dynamics of the spontaneous activity in neuronal networks.
Alberto Mazzoni, Frédéric D Broccard, Elizabeth Garcia-Perez, Paolo Bonifazi, Maria Elisabetta Ruaro, Vincent Torre. PLoS One 2007
132
11

Age-dependent homeostatic plasticity of GABAergic signaling in developing retinal networks.
Matthias H Hennig, John Grady, James van Coppenhagen, Evelyne Sernagor. J Neurosci 2011
17
17

Quantitative differences in developmental profiles of spontaneous activity in cortical and hippocampal cultures.
Paul Charlesworth, Ellese Cotterill, Andrew Morton, Seth G N Grant, Stephen J Eglen. Neural Dev 2015
32
11

A comparison of computational methods for detecting bursts in neuronal spike trains and their application to human stem cell-derived neuronal networks.
Ellese Cotterill, Paul Charlesworth, Christopher W Thomas, Ole Paulsen, Stephen J Eglen. J Neurophysiol 2016
37
11

Statistical models for neural encoding, decoding, and optimal stimulus design.
Liam Paninski, Jonathan Pillow, Jeremy Lewi. Prog Brain Res 2007
125
7

Neural decoding of hand motion using a linear state-space model with hidden states.
Wei Wu, Jayant E Kulkarni, Nicholas G Hatsopoulos, Liam Paninski. IEEE Trans Neural Syst Rehabil Eng 2009
34
7

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
7





A simple model of cortical dynamics explains variability and state dependence of sensory responses in urethane-anesthetized auditory cortex.
Carina Curto, Shuzo Sakata, Stephan Marguet, Vladimir Itskov, Kenneth D Harris. J Neurosci 2009
102
7

Phase-locking of hippocampal interneurons' membrane potential to neocortical up-down states.
Thomas T G Hahn, Bert Sakmann, Mayank R Mehta. Nat Neurosci 2006
88
7

Interaction of sensory responses with spontaneous depolarization in layer 2/3 barrel cortex.
Carl C H Petersen, Thomas T G Hahn, Mayank Mehta, Amiram Grinvald, Bert Sakmann. Proc Natl Acad Sci U S A 2003
474
7

Differential responses of hippocampal subfields to cortical up-down states.
Thomas T G Hahn, Bert Sakmann, Mayank R Mehta. Proc Natl Acad Sci U S A 2007
72
7

Inhibitory modulation of cortical up states.
Maria V Sanchez-Vives, Maurizio Mattia, Albert Compte, Maria Perez-Zabalza, Milena Winograd, Vanessa F Descalzo, Ramon Reig. J Neurophysiol 2010
108
7


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.