A citation-based method for searching scientific literature

Etay Hay, Sean Hill, Felix Schürmann, Henry Markram, Idan Segev. PLoS Comput Biol 2011
Times Cited: 141







List of co-cited articles
1125 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity



The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex.
Srikanth Ramaswamy, Jean-Denis Courcol, Marwan Abdellah, Stanislaw R Adaszewski, Nicolas Antille, Selim Arsever, Guy Atenekeng, Ahmet Bilgili, Yury Brukau, Athanassia Chalimourda,[...]. Front Neural Circuits 2015
61
16

Modeling single-neuron dynamics and computations: a balance of detail and abstraction.
Andreas V M Herz, Tim Gollisch, Christian K Machens, Dieter Jaeger. Science 2006
176
10

Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0.
Espen Hagen, Solveig Næss, Torbjørn V Ness, Gaute T Einevoll. Front Neuroinform 2018
29
34

Dendritic action potentials and computation in human layer 2/3 cortical neurons.
Albert Gidon, Timothy Adam Zolnik, Pawel Fidzinski, Felix Bolduan, Athanasia Papoutsi, Panayiota Poirazi, Martin Holtkamp, Imre Vida, Matthew Evan Larkum. Science 2020
78
12



Intrinsic dendritic filtering gives low-pass power spectra of local field potentials.
Henrik Lindén, Klas H Pettersen, Gaute T Einevoll. J Comput Neurosci 2010
107
9


Distinct contributions of Na(v)1.6 and Na(v)1.2 in action potential initiation and backpropagation.
Wenqin Hu, Cuiping Tian, Tun Li, Mingpo Yang, Han Hou, Yousheng Shu. Nat Neurosci 2009
412
9

ModelDB: A Database to Support Computational Neuroscience.
Michael L Hines, Thomas Morse, Michele Migliore, Nicholas T Carnevale, Gordon M Shepherd. J Comput Neurosci 2004
218
9

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
75
12

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
231
9


Effective stimuli for constructing reliable neuron models.
Shaul Druckmann, Thomas K Berger, Felix Schürmann, Sean Hill, Henry Markram, Idan Segev. PLoS Comput Biol 2011
29
31


Failure of averaging in the construction of a conductance-based neuron model.
Jorge Golowasch, Mark S Goldman, L F Abbott, Eve Marder. J Neurophysiol 2002
174
9

Dendritic discrimination of temporal input sequences in cortical neurons.
Tiago Branco, Beverley A Clark, Michael Häusser. Science 2010
234
9


Dendritic integration: 60 years of progress.
Greg J Stuart, Nelson Spruston. Nat Neurosci 2015
196
9

Timed Synaptic Inhibition Shapes NMDA Spikes, Influencing Local Dendritic Processing and Global I/O Properties of Cortical Neurons.
Michael Doron, Giuseppe Chindemi, Eilif Muller, Henry Markram, Idan Segev. Cell Rep 2017
25
36

Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs.
H Markram, J Lübke, M Frotscher, B Sakmann. Science 1997
8

Dendritic spikes as a mechanism for cooperative long-term potentiation.
Nace L Golding, Nathan P Staff, Nelson Spruston. Nature 2002
431
8


Complex parameter landscape for a complex neuron model.
Pablo Achard, Erik De Schutter. PLoS Comput Biol 2006
138
8


One rule to grow them all: a general theory of neuronal branching and its practical application.
Hermann Cuntz, Friedrich Forstner, Alexander Borst, Michael Häusser. PLoS Comput Biol 2010
184
8


Generation of dense statistical connectomes from sparse morphological data.
Robert Egger, Vincent J Dercksen, Daniel Udvary, Hans-Christian Hege, Marcel Oberlaender. Front Neuroanat 2014
34
23

Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models.
Christian Pozzorini, Skander Mensi, Olivier Hagens, Richard Naud, Christof Koch, Wulfram Gerstner. PLoS Comput Biol 2015
34
23


Compartmentalized dendritic plasticity and input feature storage in neurons.
Attila Losonczy, Judit K Makara, Jeffrey C Magee. Nature 2008
387
8

Is realistic neuronal modeling realistic?
Mara Almog, Alon Korngreen. J Neurophysiol 2016
35
22

Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience.
Robert A McDougal, Thomas M Morse, Ted Carnevale, Luis Marenco, Rixin Wang, Michele Migliore, Perry L Miller, Gordon M Shepherd, Michael L Hines. J Comput Neurosci 2017
85
9

Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.
Espen Hagen, David Dahmen, Maria L Stavrinou, Henrik Lindén, Tom Tetzlaff, Sacha J van Albada, Sonja Grün, Markus Diesmann, Gaute T Einevoll. Cereb Cortex 2016
39
20

Learning by the dendritic prediction of somatic spiking.
Robert Urbanczik, Walter Senn. Neuron 2014
73
10

Visual physiology of the layer 4 cortical circuit in silico.
Anton Arkhipov, Nathan W Gouwens, Yazan N Billeh, Sergey Gratiy, Ramakrishnan Iyer, Ziqiang Wei, Zihao Xu, Reza Abbasi-Asl, Jim Berg, Michael Buice,[...]. PLoS Comput Biol 2018
26
30

The Scientific Case for Brain Simulations.
Gaute T Einevoll, Alain Destexhe, Markus Diesmann, Sonja Grün, Viktor Jirsa, Marc de Kamps, Michele Migliore, Torbjørn V Ness, Hans E Plesser, Felix Schürmann. Neuron 2019
43
18




Polarized and compartment-dependent distribution of HCN1 in pyramidal cell dendrites.
Andrea Lörincz, Takuya Notomi, Gábor Tamás, Ryuichi Shigemoto, Zoltan Nusser. Nat Neurosci 2002
328
7

Automated neuron model optimization techniques: a review.
W Van Geit, E De Schutter, P Achard. Biol Cybern 2008
62
11



LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2.
Robert C Cannon, Padraig Gleeson, Sharon Crook, Gautham Ganapathy, Boris Marin, Eugenio Piasini, R Angus Silver. Front Neuroinform 2014
45
15


Channelpedia: an integrative and interactive database for ion channels.
Rajnish Ranjan, Georges Khazen, Luca Gambazzi, Srikanth Ramaswamy, Sean L Hill, Felix Schürmann, Henry Markram. Front Neuroinform 2011
30
23




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.