A citation-based method for searching scientific literature

M Fujita. Biol Cybern 1982
Times Cited: 183







List of co-cited articles
1121 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


A theory of cerebellar cortex.
D Marr. J. Physiol. (Lond.) 1969
72

The cerebellar microcircuit as an adaptive filter: experimental and computational evidence.
Paul Dean, John Porrill, Carl-Fredrik Ekerot, Henrik Jörntell. Nat. Rev. Neurosci. 2010
185
49

Internal models in the cerebellum.
D M Wolpert, R C Miall, M Kawato. Trends Cogn. Sci. (Regul. Ed.) 1998
876
38

Computer simulation of cerebellar information processing.
J F Medina, M D Mauk. Nat. Neurosci. 2000
195
30

Integration of quanta in cerebellar granule cells during sensory processing.
Paul Chadderton, Troy W Margrie, Michael Häusser. Nature 2004
448
27

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
173
26

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
177
26

Timing and plasticity in the cerebellum: focus on the granular layer.
Egidio D'Angelo, Chris I De Zeeuw. Trends Neurosci. 2009
173
26

Cerebellar circuitry as a neuronal machine.
Masao Ito. Prog. Neurobiol. 2006
394
24


Distributed synergistic plasticity and cerebellar learning.
Zhenyu Gao, Boeke J van Beugen, Chris I De Zeeuw. Nat. Rev. Neurosci. 2012
246
23


Cerebellum-dependent learning: the role of multiple plasticity mechanisms.
Edward S Boyden, Akira Katoh, Jennifer L Raymond. Annu. Rev. Neurosci. 2004
249
19


The contribution of single synapses to sensory representation in vivo.
Alexander Arenz, R Angus Silver, Andreas T Schaefer, Troy W Margrie. Science 2008
121
19

Recurrent cerebellar architecture solves the motor-error problem.
John Porrill, Paul Dean, James V Stone. Proc. Biol. Sci. 2004
46
39


Functions of interneurons in mouse cerebellum.
Neal H Barmack, Vadim Yakhnitsa. J. Neurosci. 2008
137
18


Is the cerebellum a smith predictor?
R C Miall, D J Weir, D M Wolpert, J F Stein. J Mot Behav 1993
419
17




Forward Models for Physiological Motor Control.
D M. Wolpert, R C. Miall. Neural Netw 1996
895
16

Bidirectional parallel fiber plasticity in the cerebellum under climbing fiber control.
Michiel Coesmans, John T Weber, Chris I De Zeeuw, Christian Hansel. Neuron 2004
231
16

The cerebellum as a liquid state machine.
Tadashi Yamazaki, Shigeru Tanaka. Neural Netw 2007
58
27

LTP regulates burst initiation and frequency at mossy fiber-granule cell synapses of rat cerebellum: experimental observations and theoretical predictions.
Thierry Nieus, Elisabetta Sola, Jonathan Mapelli, Elena Saftenku, Paola Rossi, Egidio D'Angelo. J. Neurophysiol. 2006
74
21

Cerebellum-like structures and their implications for cerebellar function.
Curtis C Bell, Victor Han, Nathaniel B Sawtell. Annu. Rev. Neurosci. 2008
151
16




Anatomical and physiological foundations of cerebellar information processing.
Richard Apps, Martin Garwicz. Nat. Rev. Neurosci. 2005
267
13

Acquisition, extinction, and reacquisition of a cerebellar cortical memory trace.
Dan-Anders Jirenhed, Fredrik Bengtsson, Germund Hesslow. J. Neurosci. 2007
162
13

Optimal information storage and the distribution of synaptic weights: perceptron versus Purkinje cell.
Nicolas Brunel, Vincent Hakim, Philippe Isope, Jean-Pierre Nadal, Boris Barbour. Neuron 2004
138
13






Theta-frequency bursting and resonance in cerebellar granule cells: experimental evidence and modeling of a slow k+-dependent mechanism.
E D'Angelo, T Nieus, A Maffei, S Armano, P Rossi, V Taglietti, A Fontana, G Naldi. J. Neurosci. 2001
150
13



The cerebellum: a neuronal learning machine?
J L Raymond, S G Lisberger, M D Mauk. Science 1996
382
12


Role of the cerebellum in reaching movements in humans. II. A neural model of the intermediate cerebellum.
N Schweighofer, J Spoelstra, M A Arbib, M Kawato. Eur. J. Neurosci. 1998
72
16

A spiking network model for passage-of-time representation in the cerebellum.
Tadashi Yamazaki, Shigeru Tanaka. Eur. J. Neurosci. 2007
35
34



A real-time spiking cerebellum model for learning robot control.
Richard R Carrillo, Eduardo Ros, Christian Boucheny, Olivier J-M D Coenen. BioSystems 2008
34
35

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
72
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.