A citation-based method for searching scientific literature


List of co-cited articles
1066 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity






Acquisition, extinction, and reacquisition of a cerebellar cortical memory trace.
Dan-Anders Jirenhed, Fredrik Bengtsson, Germund Hesslow. J Neurosci 2007
193
31


Questioning the role of rebound firing in the cerebellum.
Karina Alviña, Joy T Walter, Adam Kohn, Graham Ellis-Davies, Kamran Khodakhah. Nat Neurosci 2008
83
30

Learning-induced plasticity in deep cerebellar nucleus.
Tatsuya Ohyama, William L Nores, Javier F Medina, Frank A Riusech, Michael D Mauk. J Neurosci 2006
101
29



Specific T-type calcium channel isoforms are associated with distinct burst phenotypes in deep cerebellar nuclear neurons.
Michael L Molineux, John E McRory, Bruce E McKay, Jawed Hamid, W Hamish Mehaffey, Renata Rehak, Terrance P Snutch, Gerald W Zamponi, Ray W Turner. Proc Natl Acad Sci U S A 2006
135
26


A theory of cerebellar cortex.
D Marr. J Physiol 1969
26






Differential olivo-cerebellar cortical control of rebound activity in the cerebellar nuclei.
Freek E Hoebeek, Laurens Witter, Tom J H Ruigrok, Chris I De Zeeuw. Proc Natl Acad Sci U S A 2010
87
25



Plasticity in the vestibulo-ocular reflex: a new hypothesis.
F A Miles, S G Lisberger. Annu Rev Neurosci 1981
367
22




Distributed synergistic plasticity and cerebellar learning.
Zhenyu Gao, Boeke J van Beugen, Chris I De Zeeuw. Nat Rev Neurosci 2012
286
22

Synapse formation is associated with memory storage in the cerebellum.
Jeffrey A Kleim, John H Freeman, Rochelle Bruneau, Brian C Nolan, Natalie R Cooper, Alison Zook, Drew Walters. Proc Natl Acad Sci U S A 2002
121
20





Bidirectional parallel fiber plasticity in the cerebellum under climbing fiber control.
Michiel Coesmans, John T Weber, Chris I De Zeeuw, Christian Hansel. Neuron 2004
269
19


Cerebellar LTD and learning-dependent timing of conditioned eyelid responses.
S K E Koekkoek, H C Hulscher, B R Dortland, R A Hensbroek, Y Elgersma, T J H Ruigrok, C I De Zeeuw. Science 2003
201
18



Classical conditioning using stimulation of the inferior olive as the unconditioned stimulus.
M D Mauk, J E Steinmetz, R F Thompson. Proc Natl Acad Sci U S A 1986
191
16

T-type calcium channels mediate rebound firing in intact deep cerebellar neurons.
K Alviña, G Ellis-Davies, K Khodakhah. Neuroscience 2009
39
30

Determinants of action potential propagation in cerebellar Purkinje cell axons.
Pablo Monsivais, Beverley A Clark, Arnd Roth, Michael Häusser. J Neurosci 2005
120
16

Maintenance of high-frequency transmission at purkinje to cerebellar nuclear synapses by spillover from boutons with multiple release sites.
Petra Telgkamp, Daniel E Padgett, Veronica A Ledoux, Catherine S Woolley, Indira M Raman. Neuron 2004
90
16

Eye-blink conditioning is associated with changes in synaptic ultrastructure in the rabbit interpositus nuclei.
Andrew C W Weeks, Steve Connor, Richard Hinchcliff, Janelle C LeBoutillier, Richard F Thompson, Ted L Petit. Learn Mem 2007
38
31

Synaptic inhibition of Purkinje cells mediates consolidation of vestibulo-cerebellar motor learning.
Peer Wulff, Martijn Schonewille, Massimiliano Renzi, Laura Viltono, Marco Sassoè-Pognetto, Aleksandra Badura, Zhenyu Gao, Freek E Hoebeek, Stijn van Dorp, William Wisden,[...]. Nat Neurosci 2009
178
16

Ionic factors governing rebound burst phenotype in rat deep cerebellar neurons.
Michael L Molineux, W Hamish Mehaffey, Reza Tadayonnejad, Dustin Anderson, Adrien F Tennent, Ray W Turner. J Neurophysiol 2008
37
29

Mechanisms of cerebellar learning suggested by eyelid conditioning.
J F Medina, W L Nores, T Ohyama, M D Mauk. Curr Opin Neurobiol 2000
134
15



Postsynaptic currents in deep cerebellar nuclei.
D Anchisi, B Scelfo, F Tempia. J Neurophysiol 2001
54
20



Computer simulation of cerebellar information processing.
J F Medina, M D Mauk. Nat Neurosci 2000
214
15


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.