A citation-based method for searching scientific literature

Isabelle Straub, Laurens Witter, Abdelmoneim Eshra, Miriam Hoidis, Niklas Byczkowicz, Sebastian Maas, Igor Delvendahl, Kevin Dorgans, Elise Savier, Ingo Bechmann, Martin Krueger, Philippe Isope, Stefan Hallermann. Elife 2020
Times Cited: 10







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



Times Cited
  Times     Co-cited
Similarity



Network structure within the cerebellar input layer enables lossless sparse encoding.
Guy Billings, Eugenio Piasini, Andrea Lőrincz, Zoltan Nusser, R Angus Silver. Neuron 2014
74
50

Synaptic diversity enables temporal coding of coincident multisensory inputs in single neurons.
François P Chabrol, Alexander Arenz, Martin T Wiechert, Troy W Margrie, David A DiGregorio. Nat Neurosci 2015
114
50

A theory of cerebellar cortex.
D Marr. J Physiol 1969
40

Parameter tuning differentiates granule cell subtypes enriching transmission properties at the cerebellum input stage.
Stefano Masoli, Marialuisa Tognolina, Umberto Laforenza, Francesco Moccia, Egidio D'Angelo. Commun Biol 2020
12
40


Integration of quanta in cerebellar granule cells during sensory processing.
Paul Chadderton, Troy W Margrie, Michael Häusser. Nature 2004
506
40

Hyperexcitability and Hyperplasticity Disrupt Cerebellar Signal Transfer in the IB2 KO Mouse Model of Autism.
Teresa Soda, Lisa Mapelli, Francesca Locatelli, Laura Botta, Mitchell Goldfarb, Francesca Prestori, Egidio D'Angelo. J Neurosci 2019
14
40

Cerebellar granule cells acquire a widespread predictive feedback signal during motor learning.
Andrea Giovannucci, Aleksandra Badura, Ben Deverett, Farzaneh Najafi, Talmo D Pereira, Zhenyu Gao, Ilker Ozden, Alexander D Kloth, Eftychios Pnevmatikakis, Liam Paninski,[...]. Nat Neurosci 2017
102
40

Rapid desynchronization of an electrically coupled interneuron network with sparse excitatory synaptic input.
Koen Vervaeke, Andrea Lorincz, Padraig Gleeson, Matteo Farinella, Zoltan Nusser, R Angus Silver. Neuron 2010
148
40

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
206
40


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
91
30

Redefining the cerebellar cortex as an assembly of non-uniform Purkinje cell microcircuits.
Nadia L Cerminara, Eric J Lang, Roy V Sillitoe, Richard Apps. Nat Rev Neurosci 2015
159
30


Electrical coupling mediates tunable low-frequency oscillations and resonance in the cerebellar Golgi cell network.
Guillaume P Dugué, Nicolas Brunel, Vincent Hakim, Eric Schwartz, Mireille Chat, Maxime Lévesque, Richard Courtemanche, Clément Léna, Stéphane Dieudonné. Neuron 2009
148
30


Axonal Na+ channels ensure fast spike activation and back-propagation in cerebellar granule cells.
Shyam Diwakar, Jacopo Magistretti, Mitchell Goldfarb, Giovanni Naldi, Egidio D'Angelo. J Neurophysiol 2009
71
30


Timing and plasticity in the cerebellum: focus on the granular layer.
Egidio D'Angelo, Chris I De Zeeuw. Trends Neurosci 2009
215
30

The spatiotemporal organization of cerebellar network activity resolved by two-photon imaging of multiple single neurons.
Daniela Gandolfi, Paolo Pozzi, Marialuisa Tognolina, Giuseppe Chirico, Jonathan Mapelli, Egidio D'Angelo. Front Cell Neurosci 2014
26
30


Granule cell ascending axon excitatory synapses onto Golgi cells implement a potent feedback circuit in the cerebellar granular layer.
Elisabetta Cesana, Katarzyna Pietrajtis, Céline Bidoret, Philippe Isope, Egidio D'Angelo, Stéphane Dieudonné, Lia Forti. J Neurosci 2013
43
30

Cerebellar granule cells encode the expectation of reward.
Mark J Wagner, Tony Hyun Kim, Joan Savall, Mark J Schnitzer, Liqun Luo. Nature 2017
231
30

Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer.
Shyam Kumar Sudhakar, Sungho Hong, Ivan Raikov, Rodrigo Publio, Claus Lang, Thomas Close, Daqing Guo, Mario Negrello, Erik De Schutter. PLoS Comput Biol 2017
24
30


Regulation of output spike patterns by phasic inhibition in cerebellar granule cells.
Thierry R Nieus, Lisa Mapelli, Egidio D'Angelo. Front Cell Neurosci 2014
28
30


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
166
30

Sensorimotor Representations in Cerebellar Granule Cells in Larval Zebrafish Are Dense, Spatially Organized, and Non-temporally Patterned.
Laura D Knogler, Daniil A Markov, Elena I Dragomir, Vilim Štih, Ruben Portugues. Curr Biol 2017
50
30

Control of cerebellar granule cell output by sensory-evoked Golgi cell inhibition.
Ian Duguid, Tiago Branco, Paul Chadderton, Charlotte Arlt, Kate Powell, Michael Häusser. Proc Natl Acad Sci U S A 2015
34
30


Ultrafast action potentials mediate kilohertz signaling at a central synapse.
Andreas Ritzau-Jost, Igor Delvendahl, Annika Rings, Niklas Byczkowicz, Harumi Harada, Ryuichi Shigemoto, Johannes Hirrlinger, Jens Eilers, Stefan Hallermann. Neuron 2014
74
30


Evaluating the adaptive-filter model of the cerebellum.
Paul Dean, John Porrill. J Physiol 2011
23
20

High frequency burst firing of granule cells ensures transmission at the parallel fiber to purkinje cell synapse at the cost of temporal coding.
Boeke J van Beugen, Zhenyu Gao, Henk-Jan Boele, Freek Hoebeek, Chris I De Zeeuw. Front Neural Circuits 2013
54
20

Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue.
Egidio D'Angelo, Alberto Antonietti, Stefano Casali, Claudia Casellato, Jesus A Garrido, Niceto Rafael Luque, Lisa Mapelli, Stefano Masoli, Alessandra Pedrocchi, Francesca Prestori,[...]. Front Cell Neurosci 2016
43
20

Computer simulation of cerebellar information processing.
J F Medina, M D Mauk. Nat Neurosci 2000
222
20

Gating of long-term potentiation by nicotinic acetylcholine receptors at the cerebellum input stage.
Francesca Prestori, Claudia Bonardi, Lisa Mapelli, Paola Lombardo, Rianne Goselink, Maria Egle De Stefano, Daniela Gandolfi, Jonathan Mapelli, Daniel Bertrand, Martijn Schonewille,[...]. PLoS One 2013
41
20



NEURON and Python.
Michael L Hines, Andrew P Davison, Eilif Muller. Front Neuroinform 2009
193
20

Computational reconstruction of pacemaking and intrinsic electroresponsiveness in cerebellar Golgi cells.
Sergio Solinas, Lia Forti, Elisabetta Cesana, Jonathan Mapelli, Erik De Schutter, Egidio D'Angelo. Front Cell Neurosci 2007
67
20

Stereotyped spatial patterns of functional synaptic connectivity in the cerebellar cortex.
Antoine M Valera, Francesca Binda, Sophie A Pawlowski, Jean-Luc Dupont, Jean-François Casella, Jeffrey D Rothstein, Bernard Poulain, Philippe Isope. Elife 2016
38
20

Fast-reset of pacemaking and theta-frequency resonance patterns in cerebellar golgi cells: simulations of their impact in vivo.
Sergio Solinas, Lia Forti, Elisabetta Cesana, Jonathan Mapelli, Erik De Schutter, Egidio D'Angelo. Front Cell Neurosci 2007
71
20


Local field potential modeling predicts dense activation in cerebellar granule cells clusters under LTP and LTD control.
Shyam Diwakar, Paola Lombardo, Sergio Solinas, Giovanni Naldi, Egidio D'Angelo. PLoS One 2011
37
20

Functions of interneurons in mouse cerebellum.
Neal H Barmack, Vadim Yakhnitsa. J Neurosci 2008
154
20

Synaptic representation of locomotion in single cerebellar granule cells.
Kate Powell, Alexandre Mathy, Ian Duguid, Michael Häusser. Elife 2015
71
20

Increased neurotransmitter release during long-term potentiation at mossy fibre-granule cell synapses in rat cerebellum.
Elisabetta Sola, Francesca Prestori, Paola Rossi, Vanni Taglietti, Egidio D'Angelo. J Physiol 2004
94
20


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.