A citation-based method for searching scientific literature

Ana S Machado, Dana M Darmohray, João Fayad, Hugo G Marques, Megan R Carey. Elife 2015
Times Cited: 68







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



Times Cited
  Times     Co-cited
Similarity


Mapping Sub-Second Structure in Mouse Behavior.
Alexander B Wiltschko, Matthew J Johnson, Giuliano Iurilli, Ralph E Peterson, Jesse M Katon, Stan L Pashkovski, Victoria E Abraira, Ryan P Adams, Sandeep Robert Datta. Neuron 2015
192
33

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.
Alexander Mathis, Pranav Mamidanna, Kevin M Cury, Taiga Abe, Venkatesh N Murthy, Mackenzie Weygandt Mathis, Matthias Bethge. Nat Neurosci 2018
437
26

Toward a science of computational ethology.
David J Anderson, Pietro Perona. Neuron 2014
145
22

Mapping the stereotyped behaviour of freely moving fruit flies.
Gordon J Berman, Daniel M Choi, William Bialek, Joshua W Shaevitz. J R Soc Interface 2014
148
19

Neuroscience Needs Behavior: Correcting a Reductionist Bias.
John W Krakauer, Asif A Ghazanfar, Alex Gomez-Marin, Malcolm A MacIver, David Poeppel. Neuron 2017
344
19

Fast animal pose estimation using deep neural networks.
Talmo D Pereira, Diego E Aldarondo, Lindsay Willmore, Mikhail Kislin, Samuel S-H Wang, Mala Murthy, Joshua W Shaevitz. Nat Methods 2019
102
19


Synaptic representation of locomotion in single cerebellar granule cells.
Kate Powell, Alexandre Mathy, Ian Duguid, Michael Häusser. Elife 2015
62
19

A theory of cerebellar cortex.
D Marr. J Physiol 1969
16

JAABA: interactive machine learning for automatic annotation of animal behavior.
Mayank Kabra, Alice A Robie, Marta Rivera-Alba, Steven Branson, Kristin Branson. Nat Methods 2013
192
14

DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning.
Jacob M Graving, Daniel Chae, Hemal Naik, Liang Li, Benjamin Koger, Blair R Costelloe, Iain D Couzin. Elife 2019
66
15

Role of Synchronous Activation of Cerebellar Purkinje Cell Ensembles in Multi-joint Movement Control.
Tycho M Hoogland, Jornt R De Gruijl, Laurens Witter, Cathrin B Canto, Chris I De Zeeuw. Curr Biol 2015
52
17

Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning.
Weizhe Hong, Ann Kennedy, Xavier P Burgos-Artizzu, Moriel Zelikowsky, Santiago G Navonne, Pietro Perona, David J Anderson. Proc Natl Acad Sci U S A 2015
95
11

The Striatum Organizes 3D Behavior via Moment-to-Moment Action Selection.
Jeffrey E Markowitz, Winthrop F Gillis, Celia C Beron, Shay Q Neufeld, Keiramarie Robertson, Neha D Bhagat, Ralph E Peterson, Emalee Peterson, Minsuk Hyun, Scott W Linderman,[...]. Cell 2018
100
11

The need for speed in rodent locomotion analyses.
Richard J Batka, Todd J Brown, Kathryn P Mcmillan, Rena M Meadows, Kathryn J Jones, Melissa M Haulcomb. Anat Rec (Hoboken) 2014
47
14

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
81
10

Convergence of pontine and proprioceptive streams onto multimodal cerebellar granule cells.
Cheng-Chiu Huang, Ken Sugino, Yasuyuki Shima, Caiying Guo, Suxia Bai, Brett D Mensh, Sacha B Nelson, Adam W Hantman. Elife 2013
128
10

Evolving Models of Pavlovian Conditioning: Cerebellar Cortical Dynamics in Awake Behaving Mice.
Michiel M ten Brinke, Henk-Jan Boele, Jochen K Spanke, Jan-Willem Potters, Katja Kornysheva, Peer Wulff, Anna C H G IJpelaar, Sebastiaan K E Koekkoek, Chris I De Zeeuw. Cell Rep 2015
103
10

Internal models in the cerebellum.
D M Wolpert, R C Miall, M Kawato. Trends Cogn Sci 1998
10

Dimensionality and dynamics in the behavior of C. elegans.
Greg J Stephens, Bethany Johnson-Kerner, William Bialek, William S Ryu. PLoS Comput Biol 2008
214
10

Big behavioral data: psychology, ethology and the foundations of neuroscience.
Alex Gomez-Marin, Joseph J Paton, Adam R Kampff, Rui M Costa, Zachary F Mainen. Nat Neurosci 2014
90
10

Precise control of movement kinematics by optogenetic inhibition of Purkinje cell activity.
Shane A Heiney, Jinsook Kim, George J Augustine, Javier F Medina. J Neurosci 2014
131
10

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
83
10

Imaging large-scale neural activity with cellular resolution in awake, mobile mice.
Daniel A Dombeck, Anton N Khabbaz, Forrest Collman, Thomas L Adelman, David W Tank. Neuron 2007
607
10

Spatial and Temporal Locomotor Learning in Mouse Cerebellum.
Dana M Darmohray, Jovin R Jacobs, Hugo G Marques, Megan R Carey. Neuron 2019
34
20

Cerebellar circuitry as a neuronal machine.
Masao Ito. Prog Neurobiol 2006
477
8

Quantification of gait parameters in freely walking rodents.
César S Mendes, Imre Bartos, Zsuzsanna Márka, Turgay Akay, Szabolcs Márka, Richard S Mann. BMC Biol 2015
27
22

Multimodal sensory integration in single cerebellar granule cells in vivo.
Taro Ishikawa, Misa Shimuta, Michael Häusser. Elife 2015
64
9



A dictionary of behavioral motifs reveals clusters of genes affecting Caenorhabditis elegans locomotion.
André E X Brown, Eviatar I Yemini, Laura J Grundy, Tadas Jucikas, William R Schafer. Proc Natl Acad Sci U S A 2013
98
8


Circuit mechanisms underlying motor memory formation in the cerebellum.
Ka Hung Lee, Paul J Mathews, Alexander M B Reeves, Katrina Y Choe, Shekib A Jami, Raul E Serrano, Thomas S Otis. Neuron 2015
77
8

Predictability and hierarchy in Drosophila behavior.
Gordon J Berman, William Bialek, Joshua W Shaevitz. Proc Natl Acad Sci U S A 2016
58
10

Locomotor speed control circuits in the caudal brainstem.
Paolo Capelli, Chiara Pivetta, Maria Soledad Esposito, Silvia Arber. Nature 2017
87
8


Mechanisms of cerebellar gait ataxia.
Susanne M Morton, Amy J Bastian. Cerebellum 2007
96
8

Cerebellar control of gait and interlimb coordination.
María Fernanda Vinueza Veloz, Kuikui Zhou, Laurens W J Bosman, Jan-Willem Potters, Mario Negrello, Robert M Seepers, Christos Strydis, Sebastiaan K E Koekkoek, Chris I De Zeeuw. Brain Struct Funct 2015
61
9


Measuring behavior across scales.
Gordon J Berman. BMC Biol 2018
41
14

Computational Principles of Supervised Learning in the Cerebellum.
Jennifer L Raymond, Javier F Medina. Annu Rev Neurosci 2018
55
10

Distributed synergistic plasticity and cerebellar learning.
Zhenyu Gao, Boeke J van Beugen, Chris I De Zeeuw. Nat Rev Neurosci 2012
285
8

Computational Neuroethology: A Call to Action.
Sandeep Robert Datta, David J Anderson, Kristin Branson, Pietro Perona, Andrew Leifer. Neuron 2019
65
9

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
101
7

Cerebellum involvement in cortical sensorimotor circuits for the control of voluntary movements.
Rémi D Proville, Maria Spolidoro, Nicolas Guyon, Guillaume P Dugué, Fekrije Selimi, Philippe Isope, Daniela Popa, Clément Léna. Nat Neurosci 2014
118
7

Cerebellum predicts the future motor state.
Timothy J Ebner, Siavash Pasalar. Cerebellum 2008
103
7

The cerebellum: a neuronal learning machine?
J L Raymond, S G Lisberger, M D Mauk. Science 1996
446
7


Bonsai: an event-based framework for processing and controlling data streams.
Gonçalo Lopes, Niccolò Bonacchi, João Frazão, Joana P Neto, Bassam V Atallah, Sofia Soares, Luís Moreira, Sara Matias, Pavel M Itskov, Patrícia A Correia,[...]. Front Neuroinform 2015
104
7

Cerebellar-dependent expression of motor learning during eyeblink conditioning in head-fixed mice.
Shane A Heiney, Margot P Wohl, Selmaan N Chettih, Luis I Ruffolo, Javier F Medina. J Neurosci 2014
78
7


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.