A citation-based method for searching scientific literature

Shy Shoham, Matthew R Fellows, Richard A Normann. J Neurosci Methods 2003
Times Cited: 179







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



Times Cited
  Times     Co-cited
Similarity




Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements.
K D Harris, D A Henze, J Csicsvari, H Hirase, G Buzsáki. J Neurophysiol 2000
666
27



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
373
15

Large-scale recording of neuronal ensembles.
György Buzsáki. Nat Neurosci 2004
829
15


Comparison of recordings from microelectrode arrays and single electrodes in the visual cortex.
Ryan C Kelly, Matthew A Smith, Jason M Samonds, Adam Kohn, A B Bonds, J Anthony Movshon, Tai Sing Lee. J Neurosci 2007
112
15

Accurate spike sorting for multi-unit recordings.
Takashi Takekawa, Yoshikazu Isomura, Tomoki Fukai. Eur J Neurosci 2010
61
24

An online spike detection and spike classification algorithm capable of instantaneous resolution of overlapping spikes.
Felix Franke, Michal Natora, Clemens Boucsein, Matthias H J Munk, Klaus Obermayer. J Comput Neurosci 2010
67
20

Using noise signature to optimize spike-sorting and to assess neuronal classification quality.
Christophe Pouzat, Ofer Mazor, Gilles Laurent. J Neurosci Methods 2002
146
13


Measuring and interpreting neuronal correlations.
Marlene R Cohen, Adam Kohn. Nat Neurosci 2011
492
13

Spike sorting for large, dense electrode arrays.
Cyrille Rossant, Shabnam N Kadir, Dan F M Goodman, John Schulman, Maximilian L D Hunter, Aman B Saleem, Andres Grosmark, Mariano Belluscio, George H Denfield, Alexander S Ecker,[...]. Nat Neurosci 2016
241
13


Performance evaluation of PCA-based spike sorting algorithms.
Dimitrios A Adamos, Efstratios K Kosmidis, George Theophilidis. Comput Methods Programs Biomed 2008
41
29


Spike sorting based on automatic template reconstruction with a partial solution to the overlapping problem.
Pu-Ming Zhang, Jin-Yong Wu, Yi Zhou, Pei-Ji Liang, Jing-Qi Yuan. J Neurosci Methods 2004
67
17

Past, present and future of spike sorting techniques.
Hernan Gonzalo Rey, Carlos Pedreira, Rodrigo Quian Quiroga. Brain Res Bull 2015
119
12

Spike detection using the continuous wavelet transform.
Zoran Nenadic, Joel W Burdick. IEEE Trans Biomed Eng 2005
130
11


Towards reliable spike-train recordings from thousands of neurons with multielectrodes.
Gaute T Einevoll, Felix Franke, Espen Hagen, Christophe Pouzat, Kenneth D Harris. Curr Opin Neurobiol 2012
101
11

Fast, scalable, Bayesian spike identification for multi-electrode arrays.
Jason S Prentice, Jan Homann, Kristina D Simmons, Gašper Tkačik, Vijay Balasubramanian, Philip C Nelson. PLoS One 2011
37
29

On the origin of the extracellular action potential waveform: A modeling study.
Carl Gold, Darrell A Henze, Christof Koch, György Buzsáki. J Neurophysiol 2006
271
10

Recording spikes from a large fraction of the ganglion cells in a retinal patch.
Ronen Segev, Joe Goodhouse, Jason Puchalla, Michael J Berry. Nat Neurosci 2004
140
10

Variability of extracellular spike waveforms of cortical neurons.
M S Fee, P P Mitra, D Kleinfeld. J Neurophysiol 1996
122
10

Efficient spike-sorting of multi-state neurons using inter-spike intervals information.
Matthieu Delescluse, Christophe Pouzat. J Neurosci Methods 2006
28
35

Spike sorting based on discrete wavelet transform coefficients.
J C Letelier, P P Weber. J Neurosci Methods 2000
78
12

Quality metrics to accompany spike sorting of extracellular signals.
Daniel N Hill, Samar B Mehta, David Kleinfeld. J Neurosci 2011
181
10


A model-based spike sorting algorithm for removing correlation artifacts in multi-neuron recordings.
Jonathan W Pillow, Jonathon Shlens, E J Chichilnisky, Eero P Simoncelli. PLoS One 2013
57
17

A Fully Automated Approach to Spike Sorting.
Jason E Chung, Jeremy F Magland, Alex H Barnett, Vanessa M Tolosa, Angela C Tooker, Kye Y Lee, Kedar G Shah, Sarah H Felix, Loren M Frank, Leslie F Greengard. Neuron 2017
94
10

Quantitative measures of cluster quality for use in extracellular recordings.
N Schmitzer-Torbert, J Jackson, D Henze, K Harris, A D Redish. Neuroscience 2005
376
9


Neural correlations, population coding and computation.
Bruno B Averbeck, Peter E Latham, Alexandre Pouget. Nat Rev Neurosci 2006
808
9

Spatial attention decorrelates intrinsic activity fluctuations in macaque area V4.
Jude F Mitchell, Kristy A Sundberg, John H Reynolds. Neuron 2009
421
9

Mapping a complete neural population in the retina.
Olivier Marre, Dario Amodei, Nikhil Deshmukh, Kolia Sadeghi, Frederick Soo, Timothy E Holy, Michael J Berry. J Neurosci 2012
87
10

High-dimensional cluster analysis with the masked EM algorithm.
Shabnam N Kadir, Dan F M Goodman, Kenneth D Harris. Neural Comput 2014
142
9


A nonparametric Bayesian alternative to spike sorting.
Frank Wood, Michael J Black. J Neurosci Methods 2008
27
29


On the variability of manual spike sorting.
Frank Wood, Michael J Black, Carlos Vargas-Irwin, Matthew Fellows, John P Donoghue. IEEE Trans Biomed Eng 2004
65
12


Spike sorting based upon machine learning algorithms (SOMA).
P M Horton, A U Nicol, K M Kendrick, J F Feng. J Neurosci Methods 2007
22
36


A novel automated spike sorting algorithm with adaptable feature extraction.
Robert Bestel, Andreas W Daus, Christiane Thielemann. J Neurosci Methods 2012
19
42

Spatial and temporal scales of neuronal correlation in visual area V4.
Matthew A Smith, Marc A Sommer. J Neurosci 2013
52
15

How many neurons can we see with current spike sorting algorithms?
Carlos Pedreira, Juan Martinez, Matias J Ison, Rodrigo Quian Quiroga. J Neurosci Methods 2012
45
17

Intracellular features predicted by extracellular recordings in the hippocampus in vivo.
D A Henze, Z Borhegyi, J Csicsvari, A Mamiya, K D Harris, G Buzsáki. J Neurophysiol 2000
477
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.