A citation-based method for searching scientific literature

Ehsan Sedaghat-Nejad, Mohammad Amin Fakharian, Jay Pi, Paul Hage, Yoshiko Kojima, Robi Soetedjo, Shogo Ohmae, Javier F Medina, Reza Shadmehr. J Neurophysiol 2021
Times Cited: 5







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



Times Cited
  Times     Co-cited
Similarity


Using deep neural networks to detect complex spikes of cerebellar Purkinje cells.
Akshay Markanday, Joachim Bellet, Marie E Bellet, Junya Inoue, Ziad M Hafed, Peter Thier. J Neurophysiol 2020
5
40

Automated spike sorting algorithm based on Laplacian eigenmaps and k-means clustering.
E Chah, V Hok, A Della-Chiesa, J J H Miller, S M O'Mara, R B Reilly. J Neural Eng 2011
26
40

Accurate Estimation of Neural Population Dynamics without Spike Sorting.
Eric M Trautmann, Sergey D Stavisky, Subhaneil Lahiri, Katherine C Ames, Matthew T Kaufman, Daniel J O'Shea, Saurabh Vyas, Xulu Sun, Stephen I Ryu, Surya Ganguli,[...]. Neuron 2019
72
40

Analysis of extracellular spike waveforms and associated receptive fields of neurons in cat primary visual cortex.
Shi H Sun, Ali Almasi, Molis Yunzab, Syeda Zehra, Damien G Hicks, Tatiana Kameneva, Michael R Ibbotson, Hamish Meffin. J Physiol 2021
9
40

t-SNE Visualization of Large-Scale Neural Recordings.
George Dimitriadis, Joana P Neto, Adam R Kampff. Neural Comput 2018
16
40

Cluster tendency assessment in neuronal spike data.
Sara Mahallati, James C Bezdek, Milos R Popovic, Taufik A Valiante. PLoS One 2019
6
40

Application of spike sorting algorithm to neuronal signals originated from boron doped diamond micro-electrode arrays.
O Klempíř, R Krupička, J Krůšek, I Dittert, V Petráková, V Petrák, A Taylor. Physiol Res 2020
3
66

Computational Principles of Supervised Learning in the Cerebellum.
Jennifer L Raymond, Javier F Medina. Annu Rev Neurosci 2018
76
40

Cerebellar Control of Reach Kinematics for Endpoint Precision.
Matthew I Becker, Abigail L Person. Neuron 2019
39
40


Encoding of action by the Purkinje cells of the cerebellum.
David J Herzfeld, Yoshiko Kojima, Robijanto Soetedjo, Reza Shadmehr. Nature 2015
143
40

CellExplorer: A framework for visualizing and characterizing single neurons.
Peter C Petersen, Joshua H Siegle, Nicholas A Steinmetz, Sara Mahallati, György Buzsáki. Neuron 2021
8
40

Automatic spike sorting for high-density microelectrode arrays.
Roland Diggelmann, Michele Fiscella, Andreas Hierlemann, Felix Franke. J Neurophysiol 2018
14
40

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
49
40

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
92
40

SpikeInterface, a unified framework for spike sorting.
Alessio P Buccino, Cole L Hurwitz, Samuel Garcia, Jeremy Magland, Joshua H Siegle, Roger Hurwitz, Matthias H Hennig. Elife 2020
28
40

Neuronal population coding of movement direction.
A P Georgopoulos, A B Schwartz, R E Kettner. Science 1986
20


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
491
20

A Tutorial for Information Theory in Neuroscience.
Nicholas M Timme, Christopher Lapish. eNeuro 2018
60
20

Tracking axonal action potential propagation on a high-density microelectrode array across hundreds of sites.
Douglas J Bakkum, Urs Frey, Milos Radivojevic, Thomas L Russell, Jan Müller, Michele Fiscella, Hirokazu Takahashi, Andreas Hierlemann. Nat Commun 2013
109
20


Electrophysiological heterogeneity of fast-spiking interneurons: chandelier versus basket cells.
Nadezhda V Povysheva, Aleksey V Zaitsev, Guillermo Gonzalez-Burgos, David A Lewis. PLoS One 2013
36
20

Quantitative analysis of neurons with Kv3 potassium channel subunits, Kv3.1b and Kv3.2, in macaque primary visual cortex.
Christine M Constantinople, Anita A Disney, Jonathan Maffie, Bernardo Rudy, Michael J Hawken. J Comp Neurol 2009
21
20

UMAP reveals cryptic population structure and phenotype heterogeneity in large genomic cohorts.
Alex Diaz-Papkovich, Luke Anderson-Trocmé, Chief Ben-Eghan, Simon Gravel. PLoS Genet 2019
67
20

Laminar Organization of Attentional Modulation in Macaque Visual Area V4.
Anirvan S Nandy, Jonathan J Nassi, John H Reynolds. Neuron 2017
68
20


Electrophysiological properties of neocortical neurons in vitro.
B W Connors, M J Gutnick, D A Prince. J Neurophysiol 1982
775
20

Automated markerless pose estimation in freely moving macaques with OpenMonkeyStudio.
Praneet C Bala, Benjamin R Eisenreich, Seng Bum Michael Yoo, Benjamin Y Hayden, Hyun Soo Park, Jan Zimmermann. Nat Commun 2020
32
20


Classification of extracellularly recorded neurons by their discharge patterns and their correlates with intracellularly identified neuronal types in the frontal cortex of behaving monkeys.
Satoshi Katai, Keichiro Kato, Shunpei Unno, Youngnam Kang, Masanori Saruwatari, Naoki Ishikawa, Masato Inoue, Akichika Mikami. Eur J Neurosci 2010
12
20

Parvalbumin-Expressing GABAergic Neurons in Primary Motor Cortex Signal Reaching.
Luc Estebanez, Diana Hoffmann, Birgit C Voigt, James F A Poulet. Cell Rep 2017
31
20

Intrinsic firing patterns of diverse neocortical neurons.
B W Connors, M J Gutnick. Trends Neurosci 1990
20

Flexible timing by temporal scaling of cortical responses.
Jing Wang, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Nat Neurosci 2018
135
20

Current automated 3D cell detection methods are not a suitable replacement for manual stereologic cell counting.
Christoph Schmitz, Brian S Eastwood, Susan J Tappan, Jack R Glaser, Daniel A Peterson, Patrick R Hof. Front Neuroanat 2014
40
20

Frequency Shifts and Depth Dependence of Premotor Beta Band Activity during Perceptual Decision-Making.
Chandramouli Chandrasekaran, Iliana E Bray, Krishna V Shenoy. J Neurosci 2019
9
20

Physiological properties of inhibitory interneurons in cat striate cortex.
R Azouz, C M Gray, L G Nowak, D A McCormick. Cereb Cortex 1997
122
20


Characterizing interneuron and pyramidal cells in the human medial temporal lobe in vivo using extracellular recordings.
Indre V Viskontas, Arne D Ekstrom, Charles L Wilson, Itzhak Fried. Hippocampus 2007
46
20

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
617
20


High-amplitude positive spikes recorded extracellularly in cat visual cortex.
Carl Gold, Cyrille C Girardin, Kevan A C Martin, Christof Koch. J Neurophysiol 2009
24
20


The roles of monkey M1 neuron classes in movement preparation and execution.
Matthew T Kaufman, Mark M Churchland, Krishna V Shenoy. J Neurophysiol 2013
47
20

Cortical control of arm movements: a dynamical systems perspective.
Krishna V Shenoy, Maneesh Sahani, Mark M Churchland. Annu Rev Neurosci 2013
330
20


Distinct behavioural and network correlates of two interneuron types in prefrontal cortex.
D Kvitsiani, S Ranade, B Hangya, H Taniguchi, J Z Huang, A Kepecs. Nature 2013
265
20

Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq data.
George C Linderman, Manas Rachh, Jeremy G Hoskins, Stefan Steinerberger, Yuval Kluger. Nat Methods 2019
118
20

From Local Explanations to Global Understanding with Explainable AI for Trees.
Scott M Lundberg, Gabriel Erion, Hugh Chen, Alex DeGrave, Jordan M Prutkin, Bala Nair, Ronit Katz, Jonathan Himmelfarb, Nisha Bansal, Su-In Lee. Nat Mach Intell 2020
445
20

Fiji: an open-source platform for biological-image analysis.
Johannes Schindelin, Ignacio Arganda-Carreras, Erwin Frise, Verena Kaynig, Mark Longair, Tobias Pietzsch, Stephan Preibisch, Curtis Rueden, Stephan Saalfeld, Benjamin Schmid,[...]. Nat Methods 2012
20


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.