A citation-based method for searching scientific literature


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



Times Cited
  Times     Co-cited
Similarity



Past, present and future of spike sorting techniques.
Hernan Gonzalo Rey, Carlos Pedreira, Rodrigo Quian Quiroga. Brain Res Bull 2015
125
30

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
673
27

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
251
27

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
103
20

Large-scale recording of neuronal ensembles.
György Buzsáki. Nat Neurosci 2004
836
20

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
100
19

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
59
30

Quality metrics to accompany spike sorting of extracellular signals.
Daniel N Hill, Samar B Mehta, David Kleinfeld. J Neurosci 2011
188
14

A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo.
Pierre Yger, Giulia Lb Spampinato, Elric Esposito, Baptiste Lefebvre, Stéphane Deny, Christophe Gardella, Marcel Stimberg, Florian Jetter, Guenther Zeck, Serge Picaud,[...]. Elife 2018
65
21

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
69
18

High-dimensional cluster analysis with the masked EM algorithm.
Shabnam N Kadir, Dan F M Goodman, Kenneth D Harris. Neural Comput 2014
143
13

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
480
12

How advances in neural recording affect data analysis.
Ian H Stevenson, Konrad P Kording. Nat Neurosci 2011
201
12

A unified framework and method for automatic neural spike identification.
Chaitanya Ekanadham, Daniel Tranchina, Eero P Simoncelli. J Neurosci Methods 2014
30
40

Fully integrated silicon probes for high-density recording of neural activity.
James J Jun, Nicholas A Steinmetz, Joshua H Siegle, Daniel J Denman, Marius Bauza, Brian Barbarits, Albert K Lee, Costas A Anastassiou, Alexandru Andrei, Çağatay Aydın,[...]. Nature 2017
429
12

Bayes optimal template matching for spike sorting - combining fisher discriminant analysis with optimal filtering.
Felix Franke, Rodrigo Quian Quiroga, Andreas Hierlemann, Klaus Obermayer. J Comput Neurosci 2015
43
25

The origin of extracellular fields and currents--EEG, ECoG, LFP and spikes.
György Buzsáki, Costas A Anastassiou, Christof Koch. Nat Rev Neurosci 2012
11

Robust, automatic spike sorting using mixtures of multivariate t-distributions.
Shy Shoham, Matthew R Fellows, Richard A Normann. J Neurosci Methods 2003
181
11

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
11

Quantitative measures of cluster quality for use in extracellular recordings.
N Schmitzer-Torbert, J Jackson, D Henze, K Harris, A D Redish. Neuroscience 2005
384
10

Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling.
David E Carlson, Joshua T Vogelstein, Qisong Wu, Wenzhao Lian, Mingyuan Zhou, Colin R Stoetzner, Daryl Kipke, Douglas Weber, David B Dunson, Lawrence Carin. IEEE Trans Biomed Eng 2014
22
40


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
68
13

Accurate spike sorting for multi-unit recordings.
Takashi Takekawa, Yoshikazu Isomura, Tomoki Fukai. Eur J Neurosci 2010
62
14

Massively parallel recording of unit and local field potentials with silicon-based electrodes.
Jozsef Csicsvari, Darrell A Henze, Brian Jamieson, Kenneth D Harris, Anton Sirota, Péter Barthó, Kensall D Wise, György Buzsáki. J Neurophysiol 2003
223
9

Recent progress in multi-electrode spike sorting methods.
Baptiste Lefebvre, Pierre Yger, Olivier Marre. J Physiol Paris 2016
20
45

A method for spike sorting and detection based on wavelet packets and Shannon's mutual information.
Eyal Hulata, Ronen Segev, Eshel Ben-Jacob. J Neurosci Methods 2002
82
10

Validating silicon polytrodes with paired juxtacellular recordings: method and dataset.
Joana P Neto, Gonçalo Lopes, João Frazão, Joana Nogueira, Pedro Lacerda, Pedro Baião, Arno Aarts, Alexandru Andrei, Silke Musa, Elvira Fortunato,[...]. J Neurophysiol 2016
34
26

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
374
8

Polytrodes: high-density silicon electrode arrays for large-scale multiunit recording.
Timothy J Blanche, Martin A Spacek, Jamille F Hetke, Nicholas V Swindale. J Neurophysiol 2005
155
8

Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals.
Antal Berényi, Zoltán Somogyvári, Anett J Nagy, Lisa Roux, John D Long, Shigeyoshi Fujisawa, Eran Stark, Anthony Leonardo, Timothy D Harris, György Buzsáki. J Neurophysiol 2014
155
8

Spike detection using the continuous wavelet transform.
Zoran Nenadic, Joel W Burdick. IEEE Trans Biomed Eng 2005
133
8

Improving data quality in neuronal population recordings.
Kenneth D Harris, Rodrigo Quian Quiroga, Jeremy Freeman, Spencer L Smith. Nat Neurosci 2016
83
9

Spike sorting of synchronous spikes from local neuron ensembles.
Felix Franke, Robert Pröpper, Henrik Alle, Philipp Meier, Jörg R P Geiger, Klaus Obermayer, Matthias H J Munk. J Neurophysiol 2015
17
47

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
66
12

Kalman filter mixture model for spike sorting of non-stationary data.
Ana Calabrese, Liam Paninski. J Neurosci Methods 2011
35
20


High-performance neuroprosthetic control by an individual with tetraplegia.
Jennifer L Collinger, Brian Wodlinger, John E Downey, Wei Wang, Elizabeth C Tyler-Kabara, Douglas J Weber, Angus J C McMorland, Meel Velliste, Michael L Boninger, Andrew B Schwartz. Lancet 2013
666
7




On the origin of the extracellular action potential waveform: A modeling study.
Carl Gold, Darrell A Henze, Christof Koch, György Buzsáki. J Neurophysiol 2006
275
7

To sort or not to sort: the impact of spike-sorting on neural decoding performance.
Sonia Todorova, Patrick Sadtler, Aaron Batista, Steven Chase, Valérie Ventura. J Neural Eng 2014
33
21

Performance evaluation of PCA-based spike sorting algorithms.
Dimitrios A Adamos, Efstratios K Kosmidis, George Theophilidis. Comput Methods Programs Biomed 2008
41
17

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
46
15

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
39
17

Validation of neural spike sorting algorithms without ground-truth information.
Alex H Barnett, Jeremy F Magland, Leslie F Greengard. J Neurosci Methods 2016
19
36

Spike sorting for polytrodes: a divide and conquer approach.
Nicholas V Swindale, Martin A Spacek. Front Syst Neurosci 2014
26
26



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.