A citation-based method for searching scientific literature

J C Eccles, R Llinás, K Sasaki. J Physiol 1966
Times Cited: 604







List of co-cited articles
1287 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


A theory of cerebellar cortex.
D Marr. J Physiol 1969
33

Encoding of oscillations by axonal bursts in inferior olive neurons.
Alexandre Mathy, Sara S N Ho, Jenny T Davie, Ian C Duguid, Beverley A Clark, Michael Häusser. Neuron 2009
132
28

Dynamic organization of motor control within the olivocerebellar system.
J P Welsh, E J Lang, I Suglhara, R Llinás. Nature 1995
414
21


The origin of the complex spike in cerebellar Purkinje cells.
Jenny T Davie, Beverley A Clark, Michael Häusser. J Neurosci 2008
104
18

Bidirectional parallel fiber plasticity in the cerebellum under climbing fiber control.
Michiel Coesmans, John T Weber, Chris I De Zeeuw, Christian Hansel. Neuron 2004
257
18

Intraburst and interburst signaling by climbing fibers.
Jun Maruta, Robert A Hensbroek, John I Simpson. J Neurosci 2007
48
37

Purkinje cell activity during motor learning.
P F Gilbert, W T Thach. Brain Res 1977
348
17

Distributed synergistic plasticity and cerebellar learning.
Zhenyu Gao, Boeke J van Beugen, Chris I De Zeeuw. Nat Rev Neurosci 2012
271
17

Effects of climbing fiber driven inhibition on Purkinje neuron spiking.
Paul J Mathews, Ka Hung Lee, Zechun Peng, Carolyn R Houser, Thomas S Otis. J Neurosci 2012
55
30












Synaptic currents in cerebellar Purkinje cells.
A Konnerth, I Llano, C M Armstrong. Proc Natl Acad Sci U S A 1990
299
14


Microcircuitry and function of the inferior olive.
C I De Zeeuw, J I Simpson, C C Hoogenraad, N Galjart, S K Koekkoek, T J Ruigrok. Trends Neurosci 1998
240
14





Bistability of cerebellar Purkinje cells modulated by sensory stimulation.
Yonatan Loewenstein, Séverine Mahon, Paul Chadderton, Kazuo Kitamura, Haim Sompolinsky, Yosef Yarom, Michael Häusser. Nat Neurosci 2005
201
13


The making of a complex spike: ionic composition and plasticity.
Matthew T Schmolesky, John T Weber, Chris I De Zeeuw, Christian Hansel. Ann N Y Acad Sci 2002
110
13



Spatiotemporal firing patterns in the cerebellum.
Chris I De Zeeuw, Freek E Hoebeek, Laurens W J Bosman, Martijn Schonewille, Laurens Witter, Sebastiaan K Koekkoek. Nat Rev Neurosci 2011
216
12

In vivo analysis of inhibitory synaptic inputs and rebounds in deep cerebellar nuclear neurons.
Fredrik Bengtsson, Carl-Fredrik Ekerot, Henrik Jörntell. PLoS One 2011
68
17


Number of spikes in climbing fibers determines the direction of cerebellar learning.
Anders Rasmussen, Dan-Anders Jirenhed, Riccardo Zucca, Fredrik Johansson, Pär Svensson, Germund Hesslow. J Neurosci 2013
39
30

Precise control of movement kinematics by optogenetic inhibition of Purkinje cell activity.
Shane A Heiney, Jinsook Kim, George J Augustine, Javier F Medina. J Neurosci 2014
126
12



Climbing fiber discharge regulates cerebellar functions by controlling the intrinsic characteristics of purkinje cell output.
Bruce E McKay, Jordan D T Engbers, W Hamish Mehaffey, Grant R J Gordon, Michael L Molineux, Jaideep S Bains, Ray W Turner. J Neurophysiol 2007
48
22



Olivary subthreshold oscillations and burst activity revisited.
Paolo Bazzigaluppi, Jornt R De Gruijl, Ruben S van der Giessen, Sara Khosrovani, Chris I De Zeeuw, Marcel T G de Jeu. Front Neural Circuits 2012
36
30




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
168
11

Climbing fiber input shapes reciprocity of Purkinje cell firing.
Aleksandra Badura, Martijn Schonewille, Kai Voges, Elisa Galliano, Nicolas Renier, Zhenyu Gao, Laurens Witter, Freek E Hoebeek, Alain Chédotal, Chris I De Zeeuw. Neuron 2013
75
14



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.