A citation-based method for searching scientific literature

Klas H Pettersen, Gaute T Einevoll. Biophys J 2008
Times Cited: 126







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



Times Cited
  Times     Co-cited
Similarity


On the origin of the extracellular action potential waveform: A modeling study.
Carl Gold, Darrell A Henze, Christof Koch, György Buzsáki. J Neurophysiol 2006
290
42


The origin of extracellular fields and currents--EEG, ECoG, LFP and spikes.
György Buzsáki, Costas A Anastassiou, Christof Koch. Nat Rev Neurosci 2012
42

Modeling the spatial reach of the LFP.
Henrik Lindén, Tom Tetzlaff, Tobias C Potjans, Klas H Pettersen, Sonja Grün, Markus Diesmann, Gaute T Einevoll. Neuron 2011
229
38

Intrinsic dendritic filtering gives low-pass power spectra of local field potentials.
Henrik Lindén, Klas H Pettersen, Gaute T Einevoll. J Comput Neurosci 2010
106
34


Large-scale recording of neuronal ensembles.
György Buzsáki. Nat Neurosci 2004
889
31

Using extracellular action potential recordings to constrain compartmental models.
Carl Gold, Darrell A Henze, Christof Koch. J Comput Neurosci 2007
71
42

Modelling and analysis of local field potentials for studying the function of cortical circuits.
Gaute T Einevoll, Christoph Kayser, Nikos K Logothetis, Stefano Panzeri. Nat Rev Neurosci 2013
362
29


A biophysically detailed model of neocortical local field potentials predicts the critical role of active membrane currents.
Michael W Reimann, Costas A Anastassiou, Rodrigo Perin, Sean L Hill, Henry Markram, Christof Koch. Neuron 2013
144
24

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
503
22


The NEURON simulation environment.
M L Hines, N T Carnevale. Neural Comput 1997
21

Estimation of population firing rates and current source densities from laminar electrode recordings.
Klas H Pettersen, Espen Hagen, Gaute T Einevoll. J Comput Neurosci 2008
60
33

Frequency dependence of signal power and spatial reach of the local field potential.
Szymon Łęski, Henrik Lindén, Tom Tetzlaff, Klas H Pettersen, Gaute T Einevoll. PLoS Comput Biol 2013
73
27

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
71
28

Laminar population analysis: estimating firing rates and evoked synaptic activity from multielectrode recordings in rat barrel cortex.
Gaute T Einevoll, Klas H Pettersen, Anna Devor, Istvan Ulbert, Eric Halgren, Anders M Dale. J Neurophysiol 2007
99
19

Local origin of field potentials in visual cortex.
Steffen Katzner, Ian Nauhaus, Andrea Benucci, Vincent Bonin, Dario L Ringach, Matteo Carandini. Neuron 2009
344
18


An evaluation of the conductivity profile in the somatosensory barrel cortex of Wistar rats.
Takakuni Goto, Rieko Hatanaka, Takeshi Ogawa, Akira Sumiyoshi, Jorge Riera, Ryuta Kawashima. J Neurophysiol 2010
52
34


The spiking component of oscillatory extracellular potentials in the rat hippocampus.
Erik W Schomburg, Costas A Anastassiou, György Buzsáki, Christof Koch. J Neurosci 2012
110
17


Ephaptic coupling of cortical neurons.
Costas A Anastassiou, Rodrigo Perin, Henry Markram, Christof Koch. Nat Neurosci 2011
236
15


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
107
15

Models of neocortical layer 5b pyramidal cells capturing a wide range of dendritic and perisomatic active properties.
Etay Hay, Sean Hill, Felix Schürmann, Henry Markram, Idan Segev. PLoS Comput Biol 2011
139
15

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
697
14


NEURON and Python.
Michael L Hines, Andrew P Davison, Eilif Muller. Front Neuroinform 2009
174
14

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
159
13





Modelling and Analysis of Electrical Potentials Recorded in Microelectrode Arrays (MEAs).
Torbjørn V Ness, Chaitanya Chintaluri, Jan Potworowski, Szymon Łęski, Helena Głąbska, Daniel K Wójcik, Gaute T Einevoll. Neuroinformatics 2015
44
29

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
479
12



Reconstruction and Simulation of Neocortical Microcircuitry.
Henry Markram, Eilif Muller, Srikanth Ramaswamy, Michael W Reimann, Marwan Abdellah, Carlos Aguado Sanchez, Anastasia Ailamaki, Lidia Alonso-Nanclares, Nicolas Antille, Selim Arsever,[...]. Cell 2015
523
12




Microelectronic system for high-resolution mapping of extracellular electric fields applied to brain slices.
U Frey, U Egert, F Heer, S Hafizovic, A Hierlemann. Biosens Bioelectron 2009
113
11

Object selectivity of local field potentials and spikes in the macaque inferior temporal cortex.
Gabriel Kreiman, Chou P Hung, Alexander Kraskov, Rodrigo Quian Quiroga, Tomaso Poggio, James J DiCarlo. Neuron 2006
198
10

Neuronal shot noise and Brownian 1/f2 behavior in the local field potential.
Joshua Milstein, Florian Mormann, Itzhak Fried, Christof Koch. PLoS One 2009
81
12


Dipole characterization of single neurons from their extracellular action potentials.
Ferenc Mechler, Jonathan D Victor. J Comput Neurosci 2012
24
41

Inverse current source density method in two dimensions: inferring neural activation from multielectrode recordings.
Szymon Łęski, Klas H Pettersen, Beth Tunstall, Gaute T Einevoll, John Gigg, Daniel K Wójcik. Neuroinformatics 2011
32
31


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.