A citation-based method for searching scientific literature

Zoran Nenadic, Joel W Burdick. IEEE Trans Biomed Eng 2005
Times Cited: 134







List of co-cited articles
355 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
680
21





Using noise signature to optimize spike-sorting and to assess neuronal classification quality.
Christophe Pouzat, Ofer Mazor, Gilles Laurent. J Neurosci Methods 2002
148
16

Spike sorting based on discrete wavelet transform coefficients.
J C Letelier, P P Weber. J Neurosci Methods 2000
79
16


Robust, automatic spike sorting using mixtures of multivariate t-distributions.
Shy Shoham, Matthew R Fellows, Richard A Normann. J Neurosci Methods 2003
182
13


Large-scale recording of neuronal ensembles.
György Buzsáki. Nat Neurosci 2004
845
11



Accurate spike sorting for multi-unit recordings.
Takashi Takekawa, Yoshikazu Isomura, Tomoki Fukai. Eur J Neurosci 2010
63
17

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
10

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
14

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
487
9


A control algorithm for autonomous optimization of extracellular recordings.
Zoran Nenadic, Joel W Burdick. IEEE Trans Biomed Eng 2006
17
52

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

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
68
13

What is the real shape of extracellular spikes?
R Quian Quiroga. J Neurosci Methods 2009
44
20

Past, present and future of spike sorting techniques.
Hernan Gonzalo Rey, Carlos Pedreira, Rodrigo Quian Quiroga. Brain Res Bull 2015
131
9

Optimal detection, classification, and superposition resolution in neural waveform recordings.
I N Bankman, K O Johnson, W Schneider. IEEE Trans Biomed Eng 1993
56
14

Wavelet methods for spike detection in mouse renal sympathetic nerve activity.
Robert J Brychta, Sunti Tuntrakool, Martin Appalsamy, Nancy R Keller, David Robertson, Richard G Shiavi, André Diedrich. IEEE Trans Biomed Eng 2007
30
26

On the use of wavelet denoising and spike sorting techniques to process electroneurographic signals recorded using intraneural electrodes.
Luca Citi, Jacopo Carpaneto, Ken Yoshida, Klaus-Peter Hoffmann, Klaus Peter Koch, Paolo Dario, Silvestro Micera. J Neurosci Methods 2008
53
15

Detection and sorting of neural spikes using wavelet packets.
E Hulata, R Segev, Y Shapira, M Benveniste, E Ben-Jacob. Phys Rev Lett 2000
41
19

A new spike detection algorithm for extracellular neural recordings.
Shahjahan Shahid, Jacqueline Walker, Leslie S Smith. IEEE Trans Biomed Eng 2010
18
44

On the origin of the extracellular action potential waveform: A modeling study.
Carl Gold, Darrell A Henze, Christof Koch, György Buzsáki. J Neurophysiol 2006
278
8

Quality metrics to accompany spike sorting of extracellular signals.
Daniel N Hill, Samar B Mehta, David Kleinfeld. J Neurosci 2011
190
8

Technology-aware algorithm design for neural spike detection, feature extraction, and dimensionality reduction.
Sarah Gibson, Jack W Judy, Dejan Marković. IEEE Trans Neural Syst Rehabil Eng 2010
36
22

Spike detection and clustering with unsupervised wavelet optimization in extracellular neural recordings.
Vahid Shalchyan, Winnie Jensen, Dario Farina. IEEE Trans Biomed Eng 2012
20
40


Analysis of raw microneurographic recordings based on wavelet de-noising technique and classification algorithm: wavelet analysis in microneurography.
André Diedrich, Warakorn Charoensuk, Robert J Brychta, Andrew C Ertl, Richard Shiavi. IEEE Trans Biomed Eng 2003
62
11

Robust unsupervised detection of action potentials with probabilistic models.
Raul Benitez, Zoran Nenadic. IEEE Trans Biomed Eng 2008
9
77

An ultra low-power CMOS automatic action potential detector.
Benoit Gosselin, Mohamad Sawan. IEEE Trans Neural Syst Rehabil Eng 2009
32
21

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


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
267
7

A tool for synthesizing spike trains with realistic interference.
Leslie S Smith, Nhamoinesu Mtetwa. J Neurosci Methods 2007
27
22

A criterion for signal-based selection of wavelets for denoising intrafascicular nerve recordings.
Ernest Nlandu Kamavuako, Winnie Jensen, Ken Yoshida, Mathijs Kurstjens, Dario Farina. J Neurosci Methods 2010
11
54

Variability of extracellular spike waveforms of cortical neurons.
M S Fee, P P Mitra, D Kleinfeld. J Neurophysiol 1996
122
6

Learning to control a brain-machine interface for reaching and grasping by primates.
Jose M Carmena, Mikhail A Lebedev, Roy E Crist, Joseph E O'Doherty, David M Santucci, Dragan F Dimitrov, Parag G Patil, Craig S Henriquez, Miguel A L Nicolelis. PLoS Biol 2003
775
6



High-density microelectrode array recordings and real-time spike sorting for closed-loop experiments: an emerging technology to study neural plasticity.
Felix Franke, David Jäckel, Jelena Dragas, Jan Müller, Milos Radivojevic, Douglas Bakkum, Andreas Hierlemann. Front Neural Circuits 2012
53
11


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.