Jason R Pugh, Indira M Raman. Neuron 2006
Times Cited: 160
Times Cited: 160
Times Cited
Times Co-cited
Similarity
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C Hansel, D J Linden, E D'Angelo. Nat Neurosci 2001
C Hansel, D J Linden, E D'Angelo. Nat Neurosci 2001
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Distributed synergistic plasticity and cerebellar learning.
Zhenyu Gao, Boeke J van Beugen, Chris I De Zeeuw. Nat Rev Neurosci 2012
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Long-term depression at the mossy fiber-deep cerebellar nucleus synapse.
Wei Zhang, David J Linden. J Neurosci 2006
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Mechanisms of potentiation of mossy fiber EPSCs in the cerebellar nuclei by coincident synaptic excitation and inhibition.
Jason R Pugh, Indira M Raman. J Neurosci 2008
Jason R Pugh, Indira M Raman. J Neurosci 2008
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Purkinje neuron synchrony elicits time-locked spiking in the cerebellar nuclei.
Abigail L Person, Indira M Raman. Nature 2011
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Learning-induced plasticity in deep cerebellar nucleus.
Tatsuya Ohyama, William L Nores, Javier F Medina, Frank A Riusech, Michael D Mauk. J Neurosci 2006
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Reevaluating the role of LTD in cerebellar motor learning.
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Bidirectional parallel fiber plasticity in the cerebellum under climbing fiber control.
Michiel Coesmans, John T Weber, Chris I De Zeeuw, Christian Hansel. Neuron 2004
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C D Aizenman, P B Manis, D J Linden. Neuron 1998
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Purkinje cell-specific knockout of the protein phosphatase PP2B impairs potentiation and cerebellar motor learning.
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Memory trace of motor learning shifts transsynaptically from cerebellar cortex to nuclei for consolidation.
F Shutoh, M Ohki, H Kitazawa, S Itohara, S Nagao. Neuroscience 2006
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Differential olivo-cerebellar cortical control of rebound activity in the cerebellar nuclei.
Freek E Hoebeek, Laurens Witter, Tom J H Ruigrok, Chris I De Zeeuw. Proc Natl Acad Sci U S A 2010
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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
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Cerebellum-dependent learning: the role of multiple plasticity mechanisms.
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Regulation of the rebound depolarization and spontaneous firing patterns of deep nuclear neurons in slices of rat cerebellum.
C D Aizenman, D J Linden. J Neurophysiol 1999
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Reciprocal bidirectional plasticity of parallel fiber receptive fields in cerebellar Purkinje cells and their afferent interneurons.
Henrik Jörntell, Carl-Fredrik Ekerot. Neuron 2002
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Synaptic inhibition of Purkinje cells mediates consolidation of vestibulo-cerebellar motor learning.
Peer Wulff, Martijn Schonewille, Massimiliano Renzi, Laura Viltono, Marco Sassoè-Pognetto, Aleksandra Badura, Zhenyu Gao, Freek E Hoebeek, Stijn van Dorp, William Wisden,[...]. Nat Neurosci 2009
Peer Wulff, Martijn Schonewille, Massimiliano Renzi, Laura Viltono, Marco Sassoè-Pognetto, Aleksandra Badura, Zhenyu Gao, Freek E Hoebeek, Stijn van Dorp, William Wisden,[...]. Nat Neurosci 2009
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Synaptic inhibition, excitation, and plasticity in neurons of the cerebellar nuclei.
Nan Zheng, Indira M Raman. Cerebellum 2010
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Chris I De Zeeuw, Freek E Hoebeek, Laurens W J Bosman, Martijn Schonewille, Laurens Witter, Sebastiaan K Koekkoek. Nat Rev Neurosci 2011
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Bidirectional plasticity gated by hyperpolarization controls the gain of postsynaptic firing responses at central vestibular nerve synapses.
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A new form of cerebellar long-term potentiation is postsynaptic and depends on nitric oxide but not cAMP.
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Mechanisms of cerebellar learning suggested by eyelid conditioning.
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The site of a motor memory shifts with consolidation.
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Questioning the role of rebound firing in the cerebellum.
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Deactivation of L-type Ca current by inhibition controls LTP at excitatory synapses in the cerebellar nuclei.
Abigail L Person, Indira M Raman. Neuron 2010
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Intrinsic plasticity complements long-term potentiation in parallel fiber input gain control in cerebellar Purkinje cells.
Amor Belmeguenai, Eric Hosy, Fredrik Bengtsson, Christine M Pedroarena, Claire Piochon, Eva Teuling, Qionger He, Gen Ohtsuki, Marcel T G De Jeu, Ype Elgersma,[...]. J Neurosci 2010
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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.