A citation-based method for searching scientific literature

Tadashi Yamazaki, Shigeru Tanaka. Eur J Neurosci 2007
Times Cited: 43







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



Times Cited
  Times     Co-cited
Similarity


A theory of cerebellar cortex.
D Marr. J Physiol 1969
65

Computer simulation of cerebellar information processing.
J F Medina, M D Mauk. Nat Neurosci 2000
213
34

Functions of interneurons in mouse cerebellum.
Neal H Barmack, Vadim Yakhnitsa. J Neurosci 2008
149
34

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
195
34


The cerebellum as a liquid state machine.
Tadashi Yamazaki, Shigeru Tanaka. Neural Netw 2007
65
30


Neural modeling of an internal clock.
Tadashi Yamazaki, Shigeru Tanaka. Neural Comput 2005
35
34

The cerebellar microcircuit as an adaptive filter: experimental and computational evidence.
Paul Dean, John Porrill, Carl-Fredrik Ekerot, Henrik Jörntell. Nat Rev Neurosci 2010
207
27


Cerebellar LTD and pattern recognition by Purkinje cells.
Volker Steuber, Wolfgang Mittmann, Freek E Hoebeek, R Angus Silver, Chris I De Zeeuw, Michael Häusser, Erik De Schutter. Neuron 2007
104
25

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
197
25



Distributed synergistic plasticity and cerebellar learning.
Zhenyu Gao, Boeke J van Beugen, Chris I De Zeeuw. Nat Rev Neurosci 2012
285
25


Integration of quanta in cerebellar granule cells during sensory processing.
Paul Chadderton, Troy W Margrie, Michael Häusser. Nature 2004
492
23


Bidirectional parallel fiber plasticity in the cerebellum under climbing fiber control.
Michiel Coesmans, John T Weber, Chris I De Zeeuw, Christian Hansel. Neuron 2004
268
20


The contribution of single synapses to sensory representation in vivo.
Alexander Arenz, R Angus Silver, Andreas T Schaefer, Troy W Margrie. Science 2008
137
20



Reversing cerebellar long-term depression.
Varda Lev-Ram, Samar B Mehta, David Kleinfeld, Roger Y Tsien. Proc Natl Acad Sci U S A 2003
100
18

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
84
18

Cerebellar circuitry as a neuronal machine.
Masao Ito. Prog Neurobiol 2006
477
18


Different responses of rat cerebellar Purkinje cells and Golgi cells evoked by widespread convergent sensory inputs.
Tahl Holtzman, Thimali Rajapaksa, Abteen Mostofi, Steve A Edgley. J Physiol 2006
94
18

Timing and plasticity in the cerebellum: focus on the granular layer.
Egidio D'Angelo, Chris I De Zeeuw. Trends Neurosci 2009
200
18


Acquisition, extinction, and reacquisition of a cerebellar cortical memory trace.
Dan-Anders Jirenhed, Fredrik Bengtsson, Germund Hesslow. J Neurosci 2007
193
18





Neural substrates of eyeblink conditioning: acquisition and retention.
Kimberly M Christian, Richard F Thompson. Learn Mem 2003
432
16


Sensory transmission in cerebellar granule cells relies on similarly coded mossy fiber inputs.
Fredrik Bengtsson, Henrik Jörntell. Proc Natl Acad Sci U S A 2009
68
16


Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation.
Jesús A Garrido, Niceto R Luque, Egidio D'Angelo, Eduardo Ros. Front Neural Circuits 2013
39
17







A real-time spiking cerebellum model for learning robot control.
Richard R Carrillo, Eduardo Ros, Christian Boucheny, Olivier J-M D Coenen. Biosystems 2008
39
15

Stimulus-dependent state transition between synchronized oscillation and randomly repetitive burst in a model cerebellar granular layer.
Takeru Honda, Tadashi Yamazaki, Shigeru Tanaka, Soichi Nagao, Tetsuro Nishino. PLoS Comput Biol 2011
16
37




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.