A citation-based method for searching scientific literature

Computer simulation of cerebellar information processing.
J F Medina, M D Mauk. Nat Neurosci 2000
Times Cited: 213






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List of co-cited articles
1208 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


A theory of cerebellar cortex.
D Marr. J Physiol 1969
1784
55
55

Distributed synergistic plasticity and cerebellar learning.
Zhenyu Gao, Boeke J van Beugen, Chris I De Zeeuw. Nat Rev Neurosci 2012
284
29
29

Internal models in the cerebellum.
D M Wolpert, R C Miall, M Kawato. Trends Cogn Sci 1998
1042
23
23

Acquisition, extinction, and reacquisition of a cerebellar cortical memory trace.
Dan-Anders Jirenhed, Fredrik Bengtsson, Germund Hesslow. J Neurosci 2007
192
23
23

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
131
22
22

Timing mechanisms in the cerebellum: testing predictions of a large-scale computer simulation.
J F Medina, K S Garcia, W L Nores, N M Taylor, M D Mauk. J Neurosci 2000
195
20
20

Timing and plasticity in the cerebellum: focus on the granular layer.
Egidio D'Angelo, Chris I De Zeeuw. Trends Neurosci 2009
199
20
20

The cerebellar microcircuit as an adaptive filter: experimental and computational evidence.
Paul Dean, John Porrill, Carl-Fredrik Ekerot, Henrik Jörntell. Nat Rev Neurosci 2010
207
19
19

Adaptive filter model of the cerebellum.
M Fujita. Biol Cybern 1982
227
19
19

Beyond parallel fiber LTD: the diversity of synaptic and non-synaptic plasticity in the cerebellum.
C Hansel, D J Linden, E D'Angelo. Nat Neurosci 2001
428
19
19

Control of mental activities by internal models in the cerebellum.
Masao Ito. Nat Rev Neurosci 2008
605
16
16

Mechanisms of cerebellar learning suggested by eyelid conditioning.
J F Medina, W L Nores, T Ohyama, M D Mauk. Curr Opin Neurobiol 2000
134
16
16

Network structure within the cerebellar input layer enables lossless sparse encoding.
Guy Billings, Eugenio Piasini, Andrea Lőrincz, Zoltan Nusser, R Angus Silver. Neuron 2014
65
16
24

Properties of somatosensory synaptic integration in cerebellar granule cells in vivo.
Henrik Jörntell, Carl-Fredrik Ekerot. J Neurosci 2006
210
15
15

Simulations of cerebellar motor learning: computational analysis of plasticity at the mossy fiber to deep nucleus synapse.
J F Medina, M D Mauk. J Neurosci 1999
83
15
18

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
39
15
38

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
102
15
15

A realistic large-scale model of the cerebellum granular layer predicts circuit spatio-temporal filtering properties.
Sergio Solinas, Thierry Nieus, Egidio D'Angelo. Front Cell Neurosci 2010
76
14
18

High-fidelity transmission of sensory information by single cerebellar mossy fibre boutons.
Ede A Rancz, Taro Ishikawa, Ian Duguid, Paul Chadderton, Séverine Mahon, Michael Häusser. Nature 2007
197
14
14

Reciprocal bidirectional plasticity of parallel fiber receptive fields in cerebellar Purkinje cells and their afferent interneurons.
Henrik Jörntell, Carl-Fredrik Ekerot. Neuron 2002
196
14
14

Computational models of timing mechanisms in the cerebellar granular layer.
Tadashi Yamazaki, Shigeru Tanaka. Cerebellum 2009
38
14
36

A model of Pavlovian eyelid conditioning based on the synaptic organization of the cerebellum.
M D Mauk, N H Donegan. Learn Mem 1997
178
14
14

Memory trace and timing mechanism localized to cerebellar Purkinje cells.
Fredrik Johansson, Dan-Anders Jirenhed, Anders Rasmussen, Riccardo Zucca, Germund Hesslow. Proc Natl Acad Sci U S A 2014
77
14
18

The contribution of single synapses to sensory representation in vivo.
Alexander Arenz, R Angus Silver, Andreas T Schaefer, Troy W Margrie. Science 2008
137
13
13

Cerebellar cortex lesions disrupt learning-dependent timing of conditioned eyelid responses.
S P Perrett, B P Ruiz, M D Mauk. J Neurosci 1993
347
13
13

Potentiation of mossy fiber EPSCs in the cerebellar nuclei by NMDA receptor activation followed by postinhibitory rebound current.
Jason R Pugh, Indira M Raman. Neuron 2006
164
13
13

The neural basis of temporal processing.
Michael D Mauk, Dean V Buonomano. Annu Rev Neurosci 2004
514
13
13

Identification of an inhibitory circuit that regulates cerebellar Golgi cell activity.
Court Hull, Wade G Regehr. Neuron 2012
67
13
19

The cerebellum as a liquid state machine.
Tadashi Yamazaki, Shigeru Tanaka. Neural Netw 2007
65
12
18

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
202
12
12

Learning stimulus intervals--adaptive timing of conditioned purkinje cell responses.
Dan-Anders Jirenhed, Germund Hesslow. Cerebellum 2011
45
12
26

Cerebellum-dependent learning: the role of multiple plasticity mechanisms.
Edward S Boyden, Akira Katoh, Jennifer L Raymond. Annu Rev Neurosci 2004
284
12
12

Links from complex spikes to local plasticity and motor learning in the cerebellum of awake-behaving monkeys.
Javier F Medina, Stephen G Lisberger. Nat Neurosci 2008
168
12
12

Convergence of pontine and proprioceptive streams onto multimodal cerebellar granule cells.
Cheng-Chiu Huang, Ken Sugino, Yasuyuki Shima, Caiying Guo, Suxia Bai, Brett D Mensh, Sacha B Nelson, Adam W Hantman. Elife 2013
126
12
12

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
11
11

Sensory prediction or motor control? Application of marr-albus type models of cerebellar function to classical conditioning.
Nathan F Lepora, John Porrill, Christopher H Yeo, Paul Dean. Front Comput Neurosci 2010
36
11
30

A temporal basis for predicting the sensory consequences of motor commands in an electric fish.
Ann Kennedy, Greg Wayne, Patrick Kaifosh, Karina Alviña, L F Abbott, Nathaniel B Sawtell. Nat Neurosci 2014
81
11
13

Long-term depression at the mossy fiber-deep cerebellar nucleus synapse.
Wei Zhang, David J Linden. J Neurosci 2006
78
11
14

Tonic inhibition enhances fidelity of sensory information transmission in the cerebellar cortex.
Ian Duguid, Tiago Branco, Michael London, Paul Chadderton, Michael Häusser. J Neurosci 2012
96
11
11

Granule cell ascending axon excitatory synapses onto Golgi cells implement a potent feedback circuit in the cerebellar granular layer.
Elisabetta Cesana, Katarzyna Pietrajtis, Céline Bidoret, Philippe Isope, Egidio D'Angelo, Stéphane Dieudonné, Lia Forti. J Neurosci 2013
39
11
28

Integration of quanta in cerebellar granule cells during sensory processing.
Paul Chadderton, Troy W Margrie, Michael Häusser. Nature 2004
492
11
11

Excitatory Cerebellar Nucleocortical Circuit Provides Internal Amplification during Associative Conditioning.
Zhenyu Gao, Martina Proietti-Onori, Zhanmin Lin, Michiel M Ten Brinke, Henk-Jan Boele, Jan-Willem Potters, Tom J H Ruigrok, Freek E Hoebeek, Chris I De Zeeuw. Neuron 2016
72
11
15

Encoding of action by the Purkinje cells of the cerebellum.
David J Herzfeld, Yoshiko Kojima, Robijanto Soetedjo, Reza Shadmehr. Nature 2015
125
11
11

Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue.
Egidio D'Angelo, Alberto Antonietti, Stefano Casali, Claudia Casellato, Jesus A Garrido, Niceto Rafael Luque, Lisa Mapelli, Stefano Masoli, Alessandra Pedrocchi, Francesca Prestori,[...]. Front Cell Neurosci 2016
29
11
37

Long-lasting depression of parallel fiber-Purkinje cell transmission induced by conjunctive stimulation of parallel fibers and climbing fibers in the cerebellar cortex.
M Ito, M Kano. Neurosci Lett 1982
304
10
10

The cerebellum: a neuronal learning machine?
J L Raymond, S G Lisberger, M D Mauk. Science 1996
446
10
10

A mechanism for savings in the cerebellum.
J F Medina, K S Garcia, M D Mauk. J Neurosci 2001
143
10
10

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
228
10
10

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
10
10

Cerebellar circuitry as a neuronal machine.
Masao Ito. Prog Neurobiol 2006
474
10
10


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.

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