A citation-based method for searching scientific literature

Aya Takemura, Tomoyo Ofuji, Kenichiro Miura, Kenji Kawano. Sci Rep 2017
Times Cited: 1







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



Times Cited
  Times     Co-cited
Similarity



Dichotomous dopaminergic control of striatal synaptic plasticity.
Weixing Shen, Marc Flajolet, Paul Greengard, D James Surmeier. Science 2008
667
100

A unifying computational framework for motor control and social interaction.
Daniel M Wolpert, Kenji Doya, Mitsuo Kawato. Philos Trans R Soc Lond B Biol Sci 2003
450
100


Adaptive Mixtures of Local Experts.
Robert A Jacobs, Michael I Jordan, Steven J Nowlan, Geoffrey E Hinton. Neural Comput 1991
324
100

Modulation of sensory prediction error in Purkinje cells during visual feedback manipulations.
Martha L Streng, Laurentiu S Popa, Timothy J Ebner. Nat Commun 2018
17
100

Modular organization of cerebellar climbing fiber inputs during goal-directed behavior.
Shinichiro Tsutsumi, Naoki Hidaka, Yoshikazu Isomura, Masanori Matsuzaki, Kenji Sakimura, Masanobu Kano, Kazuo Kitamura. Elife 2019
10
100

Mosaic model for sensorimotor learning and control.
M Haruno, D M Wolpert, M Kawato. Neural Comput 2001
237
100

Optimal feedback control as a theory of motor coordination.
Emanuel Todorov, Michael I Jordan. Nat Neurosci 2002
100

Systematic regional variations in Purkinje cell spiking patterns.
Jianqiang Xiao, Nadia L Cerminara, Yuriy Kotsurovskyy, Hanako Aoki, Amelia Burroughs, Andrew K Wise, Yuanjun Luo, Sarah P Marshall, Izumi Sugihara, Richard Apps,[...]. PLoS One 2014
44
100

Parallels between cerebellum- and amygdala-dependent conditioning.
Javier F Medina, J Christopher Repa, Michael D Mauk, Joseph E LeDoux. Nat Rev Neurosci 2002
157
100

Predicting and correcting ataxia using a model of cerebellar function.
Nasir H Bhanpuri, Allison M Okamura, Amy J Bastian. Brain 2014
39
100



The role of chaotic resonance in cerebellar learning.
Isao T Tokuda, Cheol E Han, Kazuyuki Aihara, Mitsuo Kawato, Nicolas Schweighofer. Neural Netw 2010
19
100

Reassessment of long-term depression in cerebellar Purkinje cells in mice carrying mutated GluA2 C terminus.
Kazuhiko Yamaguchi, Shigeyoshi Itohara, Masao Ito. Proc Natl Acad Sci U S A 2016
17
100

Cerebellar circuitry as a neuronal machine.
Masao Ito. Prog Neurobiol 2006
433
100

Multiple model-based reinforcement learning.
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, Mitsuo Kawato. Neural Comput 2002
122
100

Structure-function relationships between aldolase C/zebrin II expression and complex spike synchrony in the cerebellum.
Shinichiro Tsutsumi, Maya Yamazaki, Taisuke Miyazaki, Masahiko Watanabe, Kenji Sakimura, Masanobu Kano, Kazuo Kitamura. J Neurosci 2015
39
100


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
113
100



Computer simulation of cerebellar information processing.
J F Medina, M D Mauk. Nat Neurosci 2000
206
100

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
66
100

Visual inputs to cerebellar ventral paraflocculus during ocular following responses.
K Kawano, A Takemura, Y Inoue, T Kitama, Y Kobayashi, M J Mustari. Prog Brain Res 1996
14
100

The primate cerebellum selectively encodes unexpected self-motion.
Jessica X Brooks, Kathleen E Cullen. Curr Biol 2013
71
100

Spike timing-dependent plasticity: a Hebbian learning rule.
Natalia Caporale, Yang Dan. Annu Rev Neurosci 2008
558
100


The eMOSAIC model for humanoid robot control.
Norikazu Sugimoto, Jun Morimoto, Sang-Ho Hyon, Mitsuo Kawato. Neural Netw 2012
6
100

Cerebellar activity evoked by common tool-use execution and imagery tasks: an fMRI study.
Satomi Higuchi, Hiroshi Imamizu, Mitsuo Kawato. Cortex 2007
67
100


A cortico-cerebellar loop for motor planning.
Zhenyu Gao, Courtney Davis, Alyse M Thomas, Michael N Economo, Amada M Abrego, Karel Svoboda, Chris I De Zeeuw, Nuo Li. Nature 2018
74
100

Cerebellar cortex: its simulation and the relevance of Marr's theory.
T Tyrrell, D Willshaw. Philos Trans R Soc Lond B Biol Sci 1992
66
100



Cerebellar contributions to reach adaptation and learning sensory consequences of action.
Jun Izawa, Sarah E Criscimagna-Hemminger, Reza Shadmehr. J Neurosci 2012
151
100


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
44
100


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
100

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
12
100


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
39
100



Error Signals in Motor Cortices Drive Adaptation in Reaching.
Masato Inoue, Motoaki Uchimura, Shigeru Kitazawa. Neuron 2016
27
100

The Cerebellum: Adaptive Prediction for Movement and Cognition.
Arseny A Sokolov, R Chris Miall, Richard B Ivry. Trends Cogn Sci 2017
160
100

Encoding of action by the Purkinje cells of the cerebellum.
David J Herzfeld, Yoshiko Kojima, Robijanto Soetedjo, Reza Shadmehr. Nature 2015
111
100

Ca2+ requirements for cerebellar long-term synaptic depression: role for a postsynaptic leaky integrator.
Keiko Tanaka, Leonard Khiroug, Fidel Santamaria, Tomokazu Doi, Hideaki Ogasawara, Graham C R Ellis-Davies, Mitsuo Kawato, George J Augustine. Neuron 2007
75
100


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.