A citation-based method for searching scientific literature

Tadashi Yamazaki, William Lennon. Neurosci Res 2019
Times Cited: 6







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



Times Cited
  Times     Co-cited
Similarity


A theory of cerebellar cortex.
D Marr. J Physiol 1969
83


Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks.
Claudia Casellato, Alberto Antonietti, Jesus A Garrido, Giancarlo Ferrigno, Egidio D'Angelo, Alessandra Pedrocchi. Front Comput Neurosci 2015
22
50



A spiking network model for passage-of-time representation in the cerebellum.
Tadashi Yamazaki, Shigeru Tanaka. Eur J Neurosci 2007
41
50




The Human Brain Project: Creating a European Research Infrastructure to Decode the Human Brain.
Katrin Amunts, Christoph Ebell, Jeff Muller, Martin Telefont, Alois Knoll, Thomas Lippert. Neuron 2016
66
50



Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.
Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel. Front Neuroinform 2018
22
50

Modeling memory consolidation during posttraining periods in cerebellovestibular learning.
Tadashi Yamazaki, Soichi Nagao, William Lennon, Shigeru Tanaka. Proc Natl Acad Sci U S A 2015
32
50

Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation.
Jesús A Garrido, Niceto R Luque, Egidio D'Angelo, Eduardo Ros. Front Neural Circuits 2013
38
50

3
100

Cerebellar cortex: its simulation and the relevance of Marr's theory.
T Tyrrell, D Willshaw. Philos Trans R Soc Lond B Biol Sci 1992
68
50

Cerebellar circuitry as a neuronal machine.
Masao Ito. Prog Neurobiol 2006
440
33

Cerebellum and nonmotor function.
Peter L Strick, Richard P Dum, Julie A Fiez. Annu Rev Neurosci 2009
851
33

Graded Control of Climbing-Fiber-Mediated Plasticity and Learning by Inhibition in the Cerebellum.
Matthew J M Rowan, Audrey Bonnan, Ke Zhang, Samantha B Amat, Chikako Kikuchi, Hiroki Taniguchi, George J Augustine, Jason M Christie. Neuron 2018
27
33


The human brain in numbers: a linearly scaled-up primate brain.
Suzana Herculano-Houzel. Front Hum Neurosci 2009
438
33

A cortico-cerebellar loop for motor planning.
Zhenyu Gao, Courtney Davis, Alyse M Thomas, Michael N Economo, Amada M Abrego, Karel Svoboda, Chris I De Zeeuw, Nuo Li. Nature 2018
82
33




Reconstruction and Simulation of a Scaffold Model of the Cerebellar Network.
Stefano Casali, Elisa Marenzi, Chaitanya Medini, Claudia Casellato, Egidio D'Angelo. Front Neuroinform 2019
13
33

Spiking network simulation code for petascale computers.
Susanne Kunkel, Maximilian Schmidt, Jochen M Eppler, Hans E Plesser, Gen Masumoto, Jun Igarashi, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann,[...]. Front Neuroinform 2014
28
33

Functions of interneurons in mouse cerebellum.
Neal H Barmack, Vadim Yakhnitsa. J Neurosci 2008
147
33


Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer.
Shyam Kumar Sudhakar, Sungho Hong, Ivan Raikov, Rodrigo Publio, Claus Lang, Thomas Close, Daqing Guo, Mario Negrello, Erik De Schutter. PLoS Comput Biol 2017
19
33


Cerebellar LTD and pattern recognition by Purkinje cells.
Volker Steuber, Wolfgang Mittmann, Freek E Hoebeek, R Angus Silver, Chris I De Zeeuw, Michael Häusser, Erik De Schutter. Neuron 2007
102
33

Large-scale model of mammalian thalamocortical systems.
Eugene M Izhikevich, Gerald M Edelman. Proc Natl Acad Sci U S A 2008
369
33

Long-term depression as a model of cerebellar plasticity.
Masao Ito, Kazuhiko Yamaguchi, Soichi Nagao, Tadashi Yamazaki. Prog Brain Res 2014
57
33

Mosaic model for sensorimotor learning and control.
M Haruno, D M Wolpert, M Kawato. Neural Comput 2001
242
33



Reevaluating the role of LTD in cerebellar motor learning.
Martijn Schonewille, Zhenyu Gao, Henk-Jan Boele, Maria F Vinueza Veloz, Wardell E Amerika, Antonia A M Simek, Marcel T De Jeu, Jordan P Steinberg, Kogo Takamiya, Freek E Hoebeek,[...]. Neuron 2011
198
33


Cerebellar cortical organization: a one-map hypothesis.
Richard Apps, Richard Hawkes. Nat Rev Neurosci 2009
251
33

The NIH BRAIN Initiative: Integrating Neuroethics and Neuroscience.
Khara M Ramos, Christine Grady, Henry T Greely, Winston Chiong, James Eberwine, Nita A Farahany, L Syd M Johnson, Bradley T Hyman, Steven E Hyman, Karen S Rommelfanger,[...]. Neuron 2019
9
33

A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study.
Francisco Naveros, Niceto R Luque, Jesús A Garrido, Richard R Carrillo, Mancia Anguita, Eduardo Ros. IEEE Trans Neural Netw Learn Syst 2015
10
33

Fast-reset of pacemaking and theta-frequency resonance patterns in cerebellar golgi cells: simulations of their impact in vivo.
Sergio Solinas, Lia Forti, Elisabetta Cesana, Jonathan Mapelli, Erik De Schutter, Egidio D'Angelo. Front Cell Neurosci 2007
67
33


Using a million cell simulation of the cerebellum: network scaling and task generality.
Wen-Ke Li, Matthew J Hausknecht, Peter Stone, Michael D Mauk. Neural Netw 2013
19
33

Axonal Na+ channels ensure fast spike activation and back-propagation in cerebellar granule cells.
Shyam Diwakar, Jacopo Magistretti, Mitchell Goldfarb, Giovanni Naldi, Egidio D'Angelo. J Neurophysiol 2009
67
33


FHF-independent conduction of action potentials along the leak-resistant cerebellar granule cell axon.
Katarzyna Dover, Christopher Marra, Sergio Solinas, Marko Popovic, Sathyaa Subramaniyam, Dejan Zecevic, Egidio D'Angelo, Mitchell Goldfarb. Nat Commun 2016
16
33

Climbing fiber burst size and olivary sub-threshold oscillations in a network setting.
Jornt R De Gruijl, Paolo Bazzigaluppi, Marcel T G de Jeu, Chris I De Zeeuw. PLoS Comput Biol 2012
42
33


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.