A citation-based method for searching scientific literature


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



Times Cited
  Times     Co-cited
Similarity




Cerebellar cortex: its simulation and the relevance of Marr's theory.
T Tyrrell, D Willshaw. Philos Trans R Soc Lond B Biol Sci 1992
77
6


Cerebellar contributions to reach adaptation and learning sensory consequences of action.
Jun Izawa, Sarah E Criscimagna-Hemminger, Reza Shadmehr. J Neurosci 2012
161
6

Role of Synchronous Activation of Cerebellar Purkinje Cell Ensembles in Multi-joint Movement Control.
Tycho M Hoogland, Jornt R De Gruijl, Laurens Witter, Cathrin B Canto, Chris I De Zeeuw. Curr Biol 2015
51
6

Cerebellar Purkinje cells control eye movements with a rapid rate code that is invariant to spike irregularity.
Hannah L Payne, Ranran L French, Christine C Guo, Td Barbara Nguyen-Vu, Tiina Manninen, Jennifer L Raymond. Elife 2019
17
6


Shared Cortex-Cerebellum Dynamics in the Execution and Learning of a Motor Task.
Mark J Wagner, Tony Hyun Kim, Jonathan Kadmon, Nghia D Nguyen, Surya Ganguli, Mark J Schnitzer, Liqun Luo. Cell 2019
46
6



Error Signals in Motor Cortices Drive Adaptation in Reaching.
Masato Inoue, Motoaki Uchimura, Shigeru Kitazawa. Neuron 2016
28
6

The Cerebellum: Adaptive Prediction for Movement and Cognition.
Arseny A Sokolov, R Chris Miall, Richard B Ivry. Trends Cogn Sci 2017
193
6

Encoding of action by the Purkinje cells of the cerebellum.
David J Herzfeld, Yoshiko Kojima, Robijanto Soetedjo, Reza Shadmehr. Nature 2015
125
6

Sensory experience remodels genome architecture in neural circuit to drive motor learning.
Tomoko Yamada, Yue Yang, Pamela Valnegri, Ivan Juric, Armen Abnousi, Kelly H Markwalter, Arden N Guthrie, Abigail Godec, Anna Oldenborg, Ming Hu,[...]. Nature 2019
25
6

Heterogeneity of Purkinje cell simple spike-complex spike interactions: zebrin- and non-zebrin-related variations.
Tianyu Tang, Jianqiang Xiao, Colleen Y Suh, Amelia Burroughs, Nadia L Cerminara, Linjia Jia, Sarah P Marshall, Andrew K Wise, Richard Apps, Izumi Sugihara,[...]. J Physiol 2017
17
6

Cerebrocerebellar communication systems.
G I Allen, N Tsukahara. Physiol Rev 1974
755
6

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
66
6

Expansion coding and computation in the cerebellum: 50 years after the Marr-Albus codon theory.
Terence D Sanger, Okito Yamashita, Mitsuo Kawato. J Physiol 2020
3
33

A kinetic model of dopamine- and calcium-dependent striatal synaptic plasticity.
Takashi Nakano, Tomokazu Doi, Junichiro Yoshimoto, Kenji Doya. PLoS Comput Biol 2010
54
6

The reptilian brain.
Robert K Naumann, Janie M Ondracek, Samuel Reiter, Mark Shein-Idelson, Maria Antonietta Tosches, Tracy M Yamawaki, Gilles Laurent. Curr Biol 2015
34
6

Cerebellar loops: a review of the nucleocortical pathway.
Brenda D Houck, Abigail L Person. Cerebellum 2014
29
6

New insights into olivo-cerebellar circuits for learning from a small training sample.
Isao T Tokuda, Huu Hoang, Mitsuo Kawato. Curr Opin Neurobiol 2017
9
11


Cerebellar Roles in Self-Timing for Sub- and Supra-Second Intervals.
Shogo Ohmae, Jun Kunimatsu, Masaki Tanaka. J Neurosci 2017
27
6

The Theory and Neuroscience of Cerebellar Cognition.
Jeremy D Schmahmann, Xavier Guell, Catherine J Stoodley, Mark A Halko. Annu Rev Neurosci 2019
97
6



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
6

The cerebellum is involved in predicting the sensory consequences of action.
S J Blakemore, C D Frith, D M Wolpert. Neuroreport 2001
325
6

Pathology of the cerebellar dentate and interpositus nuclei in Joseph disease: a morphometric investigation.
Y Fukutani, I Nakamura, K Kobayashi, N Yamaguchi, R Matsubara. J Neurol Sci 1992
7
14

Adaptive coupling of inferior olive neurons in cerebellar learning.
Isao T Tokuda, Huu Hoang, Nicolas Schweighofer, Mitsuo Kawato. Neural Netw 2013
15
6

How do you learn to walk? Thousands of steps and dozens of falls per day.
Karen E Adolph, Whitney G Cole, Meghana Komati, Jessie S Garciaguirre, Daryaneh Badaly, Jesse M Lingeman, Gladys L Y Chan, Rachel B Sotsky. Psychol Sci 2012
124
6


Inositol 1,4,5-trisphosphate-dependent Ca2+ threshold dynamics detect spike timing in cerebellar Purkinje cells.
Tomokazu Doi, Shinya Kuroda, Takayuki Michikawa, Mitsuo Kawato. J Neurosci 2005
73
6

Unravelling cerebellar pathways with high temporal precision targeting motor and extensive sensory and parietal networks.
Fahad Sultan, Mark Augath, Salah Hamodeh, Yusuke Murayama, Axel Oeltermann, Alexander Rauch, Peter Thier. Nat Commun 2012
33
6



Long-term synaptic depression.
D J Linden, J A Connor. Annu Rev Neurosci 1995
330
6

Nitric oxide regulates input specificity of long-term depression and context dependence of cerebellar learning.
Hideaki Ogasawara, Tomokazu Doi, Kenji Doya, Mitsuo Kawato. PLoS Comput Biol 2007
30
6

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
75
6


Evolution of pallium, hippocampus, and cortical cell types revealed by single-cell transcriptomics in reptiles.
Maria Antonietta Tosches, Tracy M Yamawaki, Robert K Naumann, Ariel A Jacobi, Georgi Tushev, Gilles Laurent. Science 2018
113
6

Coordinated cerebellar climbing fiber activity signals learned sensorimotor predictions.
William Heffley, Eun Young Song, Ziye Xu, Benjamin N Taylor, Mary Anne Hughes, Andrew McKinney, Mati Joshua, Court Hull. Nat Neurosci 2018
49
6

Systems biology perspectives on cerebellar long-term depression.
Hideaki Ogasawara, Tomokazu Doi, Mitsuo Kawato. Neurosignals 2008
23
6

Climbing-fibre activation of NMDA receptors in Purkinje cells of adult mice.
Massimiliano Renzi, Mark Farrant, Stuart G Cull-Candy. J Physiol 2007
55
6

Questioning the role of sparse coding in the brain.
Anton Spanne, Henrik Jörntell. Trends Neurosci 2015
36
6





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.