A citation-based method for searching scientific literature

Mitsuo Kawato, Shogo Ohmae, Huu Hoang, Terry Sanger. Neuroscience 2021
Times Cited: 4







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



Times Cited
  Times     Co-cited
Similarity


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
19
50


The single dendritic branch as a fundamental functional unit in the nervous system.
Tiago Branco, Michael Häusser. Curr Opin Neurobiol 2010
173
25

The NIH BRAIN Initiative: Integrating Neuroethics and Neuroscience.
Khara M Ramos, Christine Grady, Henry T Greely, Winston Chiong, James Eberwine, Nita A Farahany, L Syd M Johnson, Bradley T Hyman, Steven E Hyman, Karen S Rommelfanger,[...]. Neuron 2019
10
25

A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study.
Francisco Naveros, Niceto R Luque, Jesús A Garrido, Richard R Carrillo, Mancia Anguita, Eduardo Ros. IEEE Trans Neural Netw Learn Syst 2015
10
25

Spiking Neural Network Modelling Approach Reveals How Mindfulness Training Rewires the Brain.
Zohreh Doborjeh, Maryam Doborjeh, Tamasin Taylor, Nikola Kasabov, Grace Y Wang, Richard Siegert, Alex Sumich. Sci Rep 2019
8
25

Synaptic integration in a model of cerebellar granule cells.
F Gabbiani, J Midtgaard, T Knöpfel. J Neurophysiol 1994
129
25

Neural substrates of eyeblink conditioning: acquisition and retention.
Kimberly M Christian, Richard F Thompson. Learn Mem 2003
431
25

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
67
25



Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model.
Sacha J van Albada, Andrew G Rowley, Johanna Senk, Michael Hopkins, Maximilian Schmidt, Alan B Stokes, David R Lester, Markus Diesmann, Steve B Furber. Front Neurosci 2018
22
25

A theory of cerebellar cortex.
D Marr. J Physiol 1969
25

Using a million cell simulation of the cerebellum: network scaling and task generality.
Wen-Ke Li, Matthew J Hausknecht, Peter Stone, Michael D Mauk. Neural Netw 2013
19
25


The human brain in numbers: a linearly scaled-up primate brain.
Suzana Herculano-Houzel. Front Hum Neurosci 2009
461
25


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
67
25

Revisiting a theory of cerebellar cortex.
Tadashi Yamazaki, William Lennon. Neurosci Res 2019
7
25

Machine Learning Capabilities of a Simulated Cerebellum.
Matthew Hausknecht, Wen-Ke Li, Michael Mauk, Peter Stone. IEEE Trans Neural Netw Learn Syst 2017
7
25

Reconstruction and Simulation of Neocortical Microcircuitry.
Henry Markram, Eilif Muller, Srikanth Ramaswamy, Michael W Reimann, Marwan Abdellah, Carlos Aguado Sanchez, Anastasia Ailamaki, Lidia Alonso-Nanclares, Nicolas Antille, Selim Arsever,[...]. Cell 2015
450
25

The Virtual Brain: a simulator of primate brain network dynamics.
Paula Sanz Leon, Stuart A Knock, M Marmaduke Woodman, Lia Domide, Jochen Mersmann, Anthony R McIntosh, Viktor Jirsa. Front Neuroinform 2013
139
25

Functions of interneurons in mouse cerebellum.
Neal H Barmack, Vadim Yakhnitsa. J Neurosci 2008
148
25


Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks.
Claudia Casellato, Alberto Antonietti, Jesus A Garrido, Giancarlo Ferrigno, Egidio D'Angelo, Alessandra Pedrocchi. Front Comput Neurosci 2015
23
25

Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.
Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel. Front Neuroinform 2018
22
25

Modeling memory consolidation during posttraining periods in cerebellovestibular learning.
Tadashi Yamazaki, Soichi Nagao, William Lennon, Shigeru Tanaka. Proc Natl Acad Sci U S A 2015
32
25


FHF-independent conduction of action potentials along the leak-resistant cerebellar granule cell axon.
Katarzyna Dover, Christopher Marra, Sergio Solinas, Marko Popovic, Sathyaa Subramaniyam, Dejan Zecevic, Egidio D'Angelo, Mitchell Goldfarb. Nat Commun 2016
16
25

Climbing fiber burst size and olivary sub-threshold oscillations in a network setting.
Jornt R De Gruijl, Paolo Bazzigaluppi, Marcel T G de Jeu, Chris I De Zeeuw. PLoS Comput Biol 2012
42
25

Role of cerebellar GABAergic dysfunctions in the origins of essential tremor.
Xu Zhang, Sabato Santaniello. Proc Natl Acad Sci U S A 2019
8
25

Response Dynamics in an Olivocerebellar Spiking Neural Network With Non-linear Neuron Properties.
Alice Geminiani, Alessandra Pedrocchi, Egidio D'Angelo, Claudia Casellato. Front Comput Neurosci 2019
2
50

Chaos may enhance information transmission in the inferior olive.
Nicolas Schweighofer, Kenji Doya, Hidekazu Fukai, Jean Vianney Chiron, Tetsuya Furukawa, Mitsuo Kawato. Proc Natl Acad Sci U S A 2004
49
25


Brain/MINDS: A Japanese National Brain Project for Marmoset Neuroscience.
Hideyuki Okano, Erika Sasaki, Tetsuo Yamamori, Atsushi Iriki, Tomomi Shimogori, Yoko Yamaguchi, Kiyoto Kasai, Atsushi Miyawaki. Neuron 2016
79
25

Simulation of a Human-Scale Cerebellar Network Model on the K Computer.
Hiroshi Yamaura, Jun Igarashi, Tadashi Yamazaki. Front Neuroinform 2020
2
50

High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination.
Kristofer E Bouchard, James B Aimone, Miyoung Chun, Thomas Dean, Michael Denker, Markus Diesmann, David D Donofrio, Loren M Frank, Narayanan Kasthuri, Chirstof Koch,[...]. Neuron 2016
12
25

Biologically Realistic Mean-Field Models of Conductance-Based Networks of Spiking Neurons with Adaptation.
Matteo di Volo, Alberto Romagnoni, Cristiano Capone, Alain Destexhe. Neural Comput 2019
14
25

Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks.
Rishi Rajalingham, Elias B Issa, Pouya Bashivan, Kohitij Kar, Kailyn Schmidt, James J DiCarlo. J Neurosci 2018
66
25

Cerebellar cortex: its simulation and the relevance of Marr's theory.
T Tyrrell, D Willshaw. Philos Trans R Soc Lond B Biol Sci 1992
76
25

Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System.
Simon Friedmann, Johannes Schemmel, Andreas Grubl, Andreas Hartel, Matthias Hock, Karlheinz Meier. IEEE Trans Biomed Circuits Syst 2017
22
25

A spiking network model for passage-of-time representation in the cerebellum.
Tadashi Yamazaki, Shigeru Tanaka. Eur J Neurosci 2007
43
25


Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain.
Frederico A C Azevedo, Ludmila R B Carvalho, Lea T Grinberg, José Marcelo Farfel, Renata E L Ferretti, Renata E P Leite, Wilson Jacob Filho, Roberto Lent, Suzana Herculano-Houzel. J Comp Neurol 2009
761
25

A neural substrate of prediction and reward.
W Schultz, P Dayan, P R Montague. Science 1997
25

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
25


Real-Time Simulation of Passage-of-Time Encoding in Cerebellum Using a Scalable FPGA-Based System.
Junwen Luo, Graeme Coapes, Terrence Mak, Tadashi Yamazaki, Chung Tin, Patrick Degenaar. IEEE Trans Biomed Circuits Syst 2016
8
25


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


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.