A citation-based method for searching scientific literature

Joana P Neto, Gonçalo Lopes, João Frazão, Joana Nogueira, Pedro Lacerda, Pedro Baião, Arno Aarts, Alexandru Andrei, Silke Musa, Elvira Fortunato, Pedro Barquinha, Adam R Kampff. J Neurophysiol 2016
Times Cited: 36







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



Times Cited
  Times     Co-cited
Similarity


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
276
58


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
492
50

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
685
44

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
113
44

Large-scale recording of neuronal ensembles.
György Buzsáki. Nat Neurosci 2004
855
33

Past, present and future of spike sorting techniques.
Hernan Gonzalo Rey, Carlos Pedreira, Rodrigo Quian Quiroga. Brain Res Bull 2015
133
33

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
105
33


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
491
30

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
74
30

On the origin of the extracellular action potential waveform: A modeling study.
Carl Gold, Darrell A Henze, Christof Koch, György Buzsáki. J Neurophysiol 2006
279
25

ViSAPy: a Python tool for biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithms.
Espen Hagen, Torbjørn V Ness, Amir Khosrowshahi, Christina Sørensen, Marianne Fyhn, Torkel Hafting, Felix Franke, Gaute T Einevoll. J Neurosci Methods 2015
22
40

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
162
22

Quality metrics to accompany spike sorting of extracellular signals.
Daniel N Hill, Samar B Mehta, David Kleinfeld. J Neurosci 2011
192
22

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
88
22

High-dimensional cluster analysis with the masked EM algorithm.
Shabnam N Kadir, Dan F M Goodman, Kenneth D Harris. Neural Comput 2014
147
22

Characterization of neocortical principal cells and interneurons by network interactions and extracellular features.
Peter Barthó, Hajime Hirase, Lenaïc Monconduit, Michael Zugaro, Kenneth D Harris, György Buzsáki. J Neurophysiol 2004
460
22

LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons.
Henrik Lindén, Espen Hagen, Szymon Lęski, Eivind S Norheim, Klas H Pettersen, Gaute T Einevoll. Front Neuroinform 2014
67
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
60
19

Quantitative measures of cluster quality for use in extracellular recordings.
N Schmitzer-Torbert, J Jackson, D Henze, K Harris, A D Redish. Neuroscience 2005
400
19

Cell type- and activity-dependent extracellular correlates of intracellular spiking.
Costas A Anastassiou, Rodrigo Perin, György Buzsáki, Henry Markram, Christof Koch. J Neurophysiol 2015
36
19


Unsupervised Spike Sorting for Large-Scale, High-Density Multielectrode Arrays.
Gerrit Hilgen, Martino Sorbaro, Sahar Pirmoradian, Jens-Oliver Muthmann, Ibolya Edit Kepiro, Simona Ullo, Cesar Juarez Ramirez, Albert Puente Encinas, Alessandro Maccione, Luca Berdondini,[...]. Cell Rep 2017
30
23

Nanofabricated Neural Probes for Dense 3-D Recordings of Brain Activity.
Gustavo Rios, Evgueniy V Lubenov, Derrick Chi, Michael L Roukes, Athanassios G Siapas. Nano Lett 2016
56
19

Using noise signature to optimize spike-sorting and to assess neuronal classification quality.
Christophe Pouzat, Ofer Mazor, Gilles Laurent. J Neurosci Methods 2002
149
16


A unified framework and method for automatic neural spike identification.
Chaitanya Ekanadham, Daniel Tranchina, Eero P Simoncelli. J Neurosci Methods 2014
31
19

Spike sorting for polytrodes: a divide and conquer approach.
Nicholas V Swindale, Martin A Spacek. Front Syst Neurosci 2014
29
20

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
16

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
16

Automated long-term recording and analysis of neural activity in behaving animals.
Ashesh K Dhawale, Rajesh Poddar, Steffen Be Wolff, Valentin A Normand, Evi Kopelowitz, Bence P Ölveczky. Elife 2017
51
16

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
44
16

Validation of neural spike sorting algorithms without ground-truth information.
Alex H Barnett, Jeremy F Magland, Leslie F Greengard. J Neurosci Methods 2016
20
25



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
47
13


High-density electrode array for imaging in vitro electrophysiological activity.
L Berdondini, P D van der Wal, O Guenat, N F de Rooij, M Koudelka-Hep, P Seitz, R Kaufmann, P Metzler, N Blanc, S Rohr. Biosens Bioelectron 2005
54
13

Robust, automatic spike sorting using mixtures of multivariate t-distributions.
Shy Shoham, Matthew R Fellows, Richard A Normann. J Neurosci Methods 2003
183
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
69
13

Multiplexed, high density electrophysiology with nanofabricated neural probes.
Jiangang Du, Timothy J Blanche, Reid R Harrison, Henry A Lester, Sotiris C Masmanidis. PLoS One 2011
103
13

Brain activity mapping at multiple scales with silicon microprobes containing 1,024 electrodes.
Justin L Shobe, Leslie D Claar, Sepideh Parhami, Konstantin I Bakhurin, Sotiris C Masmanidis. J Neurophysiol 2015
67
13

A Neural Probe With Up to 966 Electrodes and Up to 384 Configurable Channels in 0.13 $\mu$m SOI CMOS.
Carolina Mora Lopez, Jan Putzeys, Bogdan Cristian Raducanu, Marco Ballini, Shiwei Wang, Alexandru Andrei, Veronique Rochus, Roeland Vandebriel, Simone Severi, Chris Van Hoof,[...]. IEEE Trans Biomed Circuits Syst 2017
39
13

Close-Packed Silicon Microelectrodes for Scalable Spatially Oversampled Neural Recording.
Jorg Scholvin, Justin P Kinney, Jacob G Bernstein, Caroline Moore-Kochlacs, Nancy Kopell, Clifton G Fonstad, Edward S Boyden. IEEE Trans Biomed Eng 2016
86
13

Time Multiplexed Active Neural Probe with 1356 Parallel Recording Sites.
Bogdan C Raducanu, Refet F Yazicioglu, Carolina M Lopez, Marco Ballini, Jan Putzeys, Shiwei Wang, Alexandru Andrei, Veronique Rochus, Marleen Welkenhuysen, Nick van Helleputte,[...]. Sensors (Basel) 2017
43
13

New approaches for CMOS-based devices for large-scale neural recording.
Patrick Ruther, Oliver Paul. Curr Opin Neurobiol 2015
24
20

Localising and classifying neurons from high density MEA recordings.
Isabel Delgado Ruz, Simon R Schultz. J Neurosci Methods 2014
22
22

The log-dynamic brain: how skewed distributions affect network operations.
György Buzsáki, Kenji Mizuseki. Nat Rev Neurosci 2014
341
11

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
227
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.