A citation-based method for searching scientific literature

Pascal Warnaar, Joao Couto, Mario Negrello, Marc Junker, Aleksandra Smilgin, Alla Ignashchenkova, Michele Giugliano, Peter Thier, Erik De Schutter. Front Cell Neurosci 2015
Times Cited: 15







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



Times Cited
  Times     Co-cited
Similarity



A theory of cerebellar cortex.
D Marr. J Physiol 1969
66

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
146
60


The origin of the complex spike in cerebellar Purkinje cells.
Jenny T Davie, Beverley A Clark, Michael Häusser. J Neurosci 2008
118
53

The dynamic relationship between cerebellar Purkinje cell simple spikes and the spikelet number of complex spikes.
Amelia Burroughs, Andrew K Wise, Jianqiang Xiao, Conor Houghton, Tianyu Tang, Colleen Y Suh, Eric J Lang, Richard Apps, Nadia L Cerminara. J Physiol 2017
18
46

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
38
40

Dynamic organization of motor control within the olivocerebellar system.
J P Welsh, E J Lang, I Suglhara, R Llinás. Nature 1995
459
40

Distributed synergistic plasticity and cerebellar learning.
Zhenyu Gao, Boeke J van Beugen, Chris I De Zeeuw. Nat Rev Neurosci 2012
311
40


Effect of simple spike firing mode on complex spike firing rate and waveform in cerebellar Purkinje cells in non-anesthetized mice.
Laurent Servais, Bertrand Bearzatto, Raphaël Hourez, Bernard Dan, Serge N Schiffmann, Guy Cheron. Neurosci Lett 2004
17
33


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
41
33

Intraburst and interburst signaling by climbing fibers.
Jun Maruta, Robert A Hensbroek, John I Simpson. J Neurosci 2007
52
33


Purkinje cell activity during motor learning.
P F Gilbert, W T Thach. Brain Res 1977
431
33

Evolving Models of Pavlovian Conditioning: Cerebellar Cortical Dynamics in Awake Behaving Mice.
Michiel M ten Brinke, Henk-Jan Boele, Jochen K Spanke, Jan-Willem Potters, Katja Kornysheva, Peer Wulff, Anna C H G IJpelaar, Sebastiaan K E Koekkoek, Chris I De Zeeuw. Cell Rep 2015
119
33




Encoding of error and learning to correct that error by the Purkinje cells of the cerebellum.
David J Herzfeld, Yoshiko Kojima, Robijanto Soetedjo, Reza Shadmehr. Nat Neurosci 2018
84
33


Encoding of action by the Purkinje cells of the cerebellum.
David J Herzfeld, Yoshiko Kojima, Robijanto Soetedjo, Reza Shadmehr. Nature 2015
143
33

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
26






Sensory-driven enhancement of calcium signals in individual Purkinje cell dendrites of awake mice.
Farzaneh Najafi, Andrea Giovannucci, Samuel S-H Wang, Javier F Medina. Cell Rep 2014
36
26

The Errors of Our Ways: Understanding Error Representations in Cerebellar-Dependent Motor Learning.
Laurentiu S Popa, Martha L Streng, Angela L Hewitt, Timothy J Ebner. Cerebellum 2016
43
26

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
104
26

Learning from the past: A reverberation of past errors in the cerebellar climbing fiber signal.
Marc Junker, Dominik Endres, Zong Peng Sun, Peter W Dicke, Martin Giese, Peter Thier. PLoS Biol 2018
11
36



Predictive and reactive reward signals conveyed by climbing fiber inputs to cerebellar Purkinje cells.
Dimitar Kostadinov, Maxime Beau, Marta Blanco-Pozo, Michael Häusser. Nat Neurosci 2019
71
26

Zones of enhanced glutamate release from climbing fibers in the mammalian cerebellum.
Martin Paukert, Yanhua H Huang, Kohichi Tanaka, Jeffrey D Rothstein, Dwight E Bergles. J Neurosci 2010
58
20


Properties of the nucleo-olivary pathway: an in vivo whole-cell patch clamp study.
Paolo Bazzigaluppi, Tom Ruigrok, Payam Saisan, Chris I De Zeeuw, Marcel de Jeu. PLoS One 2012
35
20

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
211
20

Strength and timing of motor responses mediated by rebound firing in the cerebellar nuclei after Purkinje cell activation.
Laurens Witter, Cathrin B Canto, Tycho M Hoogland, Jornt R de Gruijl, Chris I De Zeeuw. Front Neural Circuits 2013
89
20


Modulation of Purkinje cell complex spike waveform by synchrony levels in the olivocerebellar system.
Eric J Lang, Tianyu Tang, Colleen Y Suh, Jianqiang Xiao, Yuriy Kotsurovskyy, Timothy A Blenkinsop, Sarah P Marshall, Izumi Sugihara. Front Syst Neurosci 2014
15
20

The cerebellum linearly encodes whisker position during voluntary movement.
Susu Chen, George J Augustine, Paul Chadderton. Elife 2016
41
20

Clusters of cerebellar Purkinje cells control their afferent climbing fiber discharge.
Joseph Chaumont, Nicolas Guyon, Antoine M Valera, Guillaume P Dugué, Daniela Popa, Paikan Marcaggi, Vanessa Gautheron, Sophie Reibel-Foisset, Stéphane Dieudonné, Aline Stephan,[...]. Proc Natl Acad Sci U S A 2013
79
20

Cerebellar modules operate at different frequencies.
Haibo Zhou, Zhanmin Lin, Kai Voges, Chiheng Ju, Zhenyu Gao, Laurens W J Bosman, Tom J H Ruigrok, Freek E Hoebeek, Chris I De Zeeuw, Martijn Schonewille. Elife 2014
163
20



Changes in complex spike activity during classical conditioning.
Anders Rasmussen, Dan-Anders Jirenhed, Daniel Z Wetmore, Germund Hesslow. Front Neural Circuits 2014
20
20



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.