M Fujita. Biol Cybern 1982
Times Cited: 183
Times Cited: 183
Times Cited
Times Co-cited
Similarity
The cerebellar microcircuit as an adaptive filter: experimental and computational evidence.
Paul Dean, John Porrill, Carl-Fredrik Ekerot, Henrik Jörntell. Nat. Rev. Neurosci. 2010
Paul Dean, John Porrill, Carl-Fredrik Ekerot, Henrik Jörntell. Nat. Rev. Neurosci. 2010
49
Internal models in the cerebellum.
D M Wolpert, R C Miall, M Kawato. Trends Cogn. Sci. (Regul. Ed.) 1998
D M Wolpert, R C Miall, M Kawato. Trends Cogn. Sci. (Regul. Ed.) 1998
38
Computer simulation of cerebellar information processing.
J F Medina, M D Mauk. Nat. Neurosci. 2000
J F Medina, M D Mauk. Nat. Neurosci. 2000
30
Integration of quanta in cerebellar granule cells during sensory processing.
Paul Chadderton, Troy W Margrie, Michael Häusser. Nature 2004
Paul Chadderton, Troy W Margrie, Michael Häusser. Nature 2004
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
J F Medina, K S Garcia, W L Nores, N M Taylor, M D Mauk. J. Neurosci. 2000
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
Ede A Rancz, Taro Ishikawa, Ian Duguid, Paul Chadderton, Séverine Mahon, Michael Häusser. Nature 2007
26
Timing and plasticity in the cerebellum: focus on the granular layer.
Egidio D'Angelo, Chris I De Zeeuw. Trends Neurosci. 2009
Egidio D'Angelo, Chris I De Zeeuw. Trends Neurosci. 2009
26
Properties of somatosensory synaptic integration in cerebellar granule cells in vivo.
Henrik Jörntell, Carl-Fredrik Ekerot. J. Neurosci. 2006
Henrik Jörntell, Carl-Fredrik Ekerot. J. Neurosci. 2006
24
Distributed synergistic plasticity and cerebellar learning.
Zhenyu Gao, Boeke J van Beugen, Chris I De Zeeuw. Nat. Rev. Neurosci. 2012
Zhenyu Gao, Boeke J van Beugen, Chris I De Zeeuw. Nat. Rev. Neurosci. 2012
23
20
Cerebellum-dependent learning: the role of multiple plasticity mechanisms.
Edward S Boyden, Akira Katoh, Jennifer L Raymond. Annu. Rev. Neurosci. 2004
Edward S Boyden, Akira Katoh, Jennifer L Raymond. Annu. Rev. Neurosci. 2004
19
Decorrelation control by the cerebellum achieves oculomotor plant compensation in simulated vestibulo-ocular reflex.
Paul Dean, John Porrill, James V Stone. Proc. Biol. Sci. 2002
Paul Dean, John Porrill, James V Stone. Proc. Biol. Sci. 2002
38
The contribution of single synapses to sensory representation in vivo.
Alexander Arenz, R Angus Silver, Andreas T Schaefer, Troy W Margrie. Science 2008
Alexander Arenz, R Angus Silver, Andreas T Schaefer, Troy W Margrie. Science 2008
19
Recurrent cerebellar architecture solves the motor-error problem.
John Porrill, Paul Dean, James V Stone. Proc. Biol. Sci. 2004
John Porrill, Paul Dean, James V Stone. Proc. Biol. Sci. 2004
39
Synchronization of golgi and granule cell firing in a detailed network model of the cerebellar granule cell layer.
R Maex, E De Schutter. J. Neurophysiol. 1998
R Maex, E De Schutter. J. Neurophysiol. 1998
18
Functions of interneurons in mouse cerebellum.
Neal H Barmack, Vadim Yakhnitsa. J. Neurosci. 2008
Neal H Barmack, Vadim Yakhnitsa. J. Neurosci. 2008
18
Control of mental activities by internal models in the cerebellum.
Masao Ito. Nat. Rev. Neurosci. 2008
Masao Ito. Nat. Rev. Neurosci. 2008
18
Is the cerebellum a smith predictor?
R C Miall, D J Weir, D M Wolpert, J F Stein. J Mot Behav 1993
R C Miall, D J Weir, D M Wolpert, J F Stein. J Mot Behav 1993
17
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
C Hansel, D J Linden, E D'Angelo. Nat. Neurosci. 2001
17
Recurrent cerebellar loops simplify adaptive control of redundant and nonlinear motor systems.
John Porrill, Paul Dean. Neural Comput 2007
John Porrill, Paul Dean. Neural Comput 2007
68
A hierarchical neural-network model for control and learning of voluntary movement.
M Kawato, K Furukawa, R Suzuki. Biol Cybern 1987
M Kawato, K Furukawa, R Suzuki. Biol Cybern 1987
16
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
Michiel Coesmans, John T Weber, Chris I De Zeeuw, Christian Hansel. Neuron 2004
16
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
Thierry Nieus, Elisabetta Sola, Jonathan Mapelli, Elena Saftenku, Paola Rossi, Egidio D'Angelo. J. Neurophysiol. 2006
21
Cerebellum-like structures and their implications for cerebellar function.
Curtis C Bell, Victor Han, Nathaniel B Sawtell. Annu. Rev. Neurosci. 2008
Curtis C Bell, Victor Han, Nathaniel B Sawtell. Annu. Rev. Neurosci. 2008
16
A realistic large-scale model of the cerebellum granular layer predicts circuit spatio-temporal filtering properties.
Sergio Solinas, Thierry Nieus, Egidio D'Angelo.  2010
Sergio Solinas, Thierry Nieus, Egidio D'Angelo.  2010
22
Long-term potentiation of intrinsic excitability at the mossy fiber-granule cell synapse of rat cerebellum.
S Armano, P Rossi, V Taglietti, E D'Angelo. J. Neurosci. 2000
S Armano, P Rossi, V Taglietti, E D'Angelo. J. Neurosci. 2000
14
Evidence for NMDA and mGlu receptor-dependent long-term potentiation of mossy fiber-granule cell transmission in rat cerebellum.
E D'Angelo, P Rossi, S Armano, V Taglietti. J. Neurophysiol. 1999
E D'Angelo, P Rossi, S Armano, V Taglietti. J. Neurophysiol. 1999
14
Anatomical and physiological foundations of cerebellar information processing.
Richard Apps, Martin Garwicz. Nat. Rev. Neurosci. 2005
Richard Apps, Martin Garwicz. Nat. Rev. Neurosci. 2005
13
Acquisition, extinction, and reacquisition of a cerebellar cortical memory trace.
Dan-Anders Jirenhed, Fredrik Bengtsson, Germund Hesslow. J. Neurosci. 2007
Dan-Anders Jirenhed, Fredrik Bengtsson, Germund Hesslow. J. Neurosci. 2007
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
Nicolas Brunel, Vincent Hakim, Philippe Isope, Jean-Pierre Nadal, Boris Barbour. Neuron 2004
13
Synaptic memories upside down: bidirectional plasticity at cerebellar parallel fiber-Purkinje cell synapses.
Henrik Jörntell, Christian Hansel. Neuron 2006
Henrik Jörntell, Christian Hansel. Neuron 2006
13
Development of a tonic form of synaptic inhibition in rat cerebellar granule cells resulting from persistent activation of GABAA receptors.
S G Brickley, S G Cull-Candy, M Farrant. J. Physiol. (Lond.) 1996
S G Brickley, S G Cull-Candy, M Farrant. J. Physiol. (Lond.) 1996
13
The spatial organization of long-term synaptic plasticity at the input stage of cerebellum.
Jonathan Mapelli, Egidio D'Angelo. J. Neurosci. 2007
Jonathan Mapelli, Egidio D'Angelo. J. Neurosci. 2007
14
Synaptic excitation of individual rat cerebellar granule cells in situ: evidence for the role of NMDA receptors.
E D'Angelo, G De Filippi, P Rossi, V Taglietti. J. Physiol. (Lond.) 1995
E D'Angelo, G De Filippi, P Rossi, V Taglietti. J. Physiol. (Lond.) 1995
13
Unsupervised learning of granule cell sparse codes enhances cerebellar adaptive control.
N Schweighofer, K Doya, F Lay. Neuroscience 2001
N Schweighofer, K Doya, F Lay. Neuroscience 2001
24
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
E D'Angelo, T Nieus, A Maffei, S Armano, P Rossi, V Taglietti, A Fontana, G Naldi. J. Neurosci. 2001
13
Internal models for motor control and trajectory planning.
M Kawato. Curr. Opin. Neurobiol. 1999
M Kawato. Curr. Opin. Neurobiol. 1999
12
Climbing fibre induced depression of both mossy fibre responsiveness and glutamate sensitivity of cerebellar Purkinje cells.
M Ito, M Sakurai, P Tongroach. J. Physiol. (Lond.) 1982
M Ito, M Sakurai, P Tongroach. J. Physiol. (Lond.) 1982
12
12
Properties of unitary granule cell-->Purkinje cell synapses in adult rat cerebellar slices.
Philippe Isope, Boris Barbour. J. Neurosci. 2002
Philippe Isope, Boris Barbour. J. Neurosci. 2002
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
N Schweighofer, J Spoelstra, M A Arbib, M Kawato. Eur. J. Neurosci. 1998
16
A spiking network model for passage-of-time representation in the cerebellum.
Tadashi Yamazaki, Shigeru Tanaka. Eur. J. Neurosci. 2007
Tadashi Yamazaki, Shigeru Tanaka. Eur. J. Neurosci. 2007
34
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
M Ito, M Kano. Neurosci. Lett. 1982
12
A computational model of four regions of the cerebellum based on feedback-error learning.
M Kawato, H Gomi. Biol Cybern 1992
M Kawato, H Gomi. Biol Cybern 1992
12
A real-time spiking cerebellum model for learning robot control.
Richard R Carrillo, Eduardo Ros, Christian Boucheny, Olivier J-M D Coenen. BioSystems 2008
Richard R Carrillo, Eduardo Ros, Christian Boucheny, Olivier J-M D Coenen. BioSystems 2008
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
Ann Kennedy, Greg Wayne, Patrick Kaifosh, Karina Alviña, L F Abbott, Nathaniel B Sawtell. Nat. Neurosci. 2014
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.