A citation-based method for searching scientific literature

Jenny T Davie, Beverley A Clark, Michael Häusser. J Neurosci 2008
Times Cited: 114







List of co-cited articles
1344 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity




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
138
28

A theory of cerebellar cortex.
D Marr. J Physiol 1969
27

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
115
24


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
23




Determinants of action potential propagation in cerebellar Purkinje cell axons.
Pablo Monsivais, Beverley A Clark, Arnd Roth, Michael Häusser. J Neurosci 2005
120
21


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
231
21


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
208
20









Integration of quanta in cerebellar granule cells during sensory processing.
Paul Chadderton, Troy W Margrie, Michael Häusser. Nature 2004
492
17

Dynamic organization of motor control within the olivocerebellar system.
J P Welsh, E J Lang, I Suglhara, R Llinás. Nature 1995
450
17

Initiation of simple and complex spikes in cerebellar Purkinje cells.
Lucy M Palmer, Beverley A Clark, Jan Gründemann, Arnd Roth, Greg J Stuart, Michael Häusser. J Physiol 2010
56
28


Purkinje cells in awake behaving animals operate at the upstate membrane potential.
Martijn Schonewille, Sara Khosrovani, Beerend H J Winkelman, Freek E Hoebeek, Marcel T G De Jeu, Inger M Larsen, J Van der Burg, Matthew T Schmolesky, Maarten A Frens, Chris I De Zeeuw. Nat Neurosci 2006
101
16




Distributed synergistic plasticity and cerebellar learning.
Zhenyu Gao, Boeke J van Beugen, Chris I De Zeeuw. Nat Rev Neurosci 2012
286
15

Decreases in the precision of Purkinje cell pacemaking cause cerebellar dysfunction and ataxia.
Joy T Walter, Karina Alviña, Mary D Womack, Carolyn Chevez, Kamran Khodakhah. Nat Neurosci 2006
270
14



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
50
28


Cerebellar circuitry as a neuronal machine.
Masao Ito. Prog Neurobiol 2006
478
13

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
105
13


Intraburst and interburst signaling by climbing fibers.
Jun Maruta, Robert A Hensbroek, John I Simpson. J Neurosci 2007
50
26

Cerebellar cortical organization: a one-map hypothesis.
Richard Apps, Richard Hawkes. Nat Rev Neurosci 2009
262
13



Coding of stimulus strength via analog calcium signals in Purkinje cell dendrites of awake mice.
Farzaneh Najafi, Andrea Giovannucci, Samuel S-H Wang, Javier F Medina. Elife 2014
35
37

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
203
12


Dendritic spikes mediate negative synaptic gain control in cerebellar Purkinje cells.
Ede A Rancz, Michael Häusser. Proc Natl Acad Sci U S A 2010
24
50

Elimination of climbing fiber instructive signals during motor learning.
Michael C Ke, Cong C Guo, Jennifer L Raymond. Nat Neurosci 2009
73
16



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.