A citation-based method for searching scientific literature

John W Krakauer, Asif A Ghazanfar, Alex Gomez-Marin, Malcolm A MacIver, David Poeppel. Neuron 2017
Times Cited: 344







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



Times Cited
  Times     Co-cited
Similarity


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
22

Computational Neuroethology: A Call to Action.
Sandeep Robert Datta, David J Anderson, Kristin Branson, Pietro Perona, Andrew Leifer. Neuron 2019
65
21

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
12

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

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
9

Toward a science of computational ethology.
David J Anderson, Pietro Perona. Neuron 2014
145
8

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
7

Cognitive maps in rats and men.
E C TOLMAN. Psychol Rev 1948
7

Motor cortex is required for learning but not for executing a motor skill.
Risa Kawai, Timothy Markman, Rajesh Poddar, Raymond Ko, Antoniu L Fantana, Ashesh K Dhawale, Adam R Kampff, Bence P Ölveczky. Neuron 2015
193
6

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
6

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
9


Are We Ready for Real-world Neuroscience?
Pawel J Matusz, Suzanne Dikker, Alexander G Huth, Catherine Perrodin. J Cogn Neurosci 2019
40
15

Microstructure of a spatial map in the entorhinal cortex.
Torkel Hafting, Marianne Fyhn, Sturla Molden, May-Britt Moser, Edvard I Moser. Nature 2005
5

The hippocampus as a predictive map.
Kimberly L Stachenfeld, Matthew M Botvinick, Samuel J Gershman. Nat Neurosci 2017
166
5

What Is a Cognitive Map? Organizing Knowledge for Flexible Behavior.
Timothy E J Behrens, Timothy H Muller, James C R Whittington, Shirley Mark, Alon B Baram, Kimberly L Stachenfeld, Zeb Kurth-Nelson. Neuron 2018
145
5

Evidence for grid cells in a human memory network.
Christian F Doeller, Caswell Barry, Neil Burgess. Nature 2010
330
5

Structure of the Zebrafish Locomotor Repertoire Revealed with Unsupervised Behavioral Clustering.
João C Marques, Simone Lackner, Rita Félix, Michael B Orger. Curr Biol 2018
66
7

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
5

A quantitative framework for whole-body coordination reveals specific deficits in freely walking ataxic mice.
Ana S Machado, Dana M Darmohray, João Fayad, Hugo G Marques, Megan R Carey. Elife 2015
68
7

Spontaneous behaviors drive multidimensional, brainwide activity.
Carsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Charu Bai Reddy, Matteo Carandini, Kenneth D Harris. Science 2019
220
5

Single-trial neural dynamics are dominated by richly varied movements.
Simon Musall, Matthew T Kaufman, Ashley L Juavinett, Steven Gluf, Anne K Churchland. Nat Neurosci 2019
146
5

Cortical control of arm movements: a dynamical systems perspective.
Krishna V Shenoy, Maneesh Sahani, Mark M Churchland. Annu Rev Neurosci 2013
291
4

Reorganization between preparatory and movement population responses in motor cortex.
Gamaleldin F Elsayed, Antonio H Lara, Matthew T Kaufman, Mark M Churchland, John P Cunningham. Nat Commun 2016
99
4

Organizing conceptual knowledge in humans with a gridlike code.
Alexandra O Constantinescu, Jill X O'Reilly, Timothy E J Behrens. Science 2016
216
4

Predictability and hierarchy in Drosophila behavior.
Gordon J Berman, William Bialek, Joshua W Shaevitz. Proc Natl Acad Sci U S A 2016
58
6

Choice-specific sequences in parietal cortex during a virtual-navigation decision task.
Christopher D Harvey, Philip Coen, David W Tank. Nature 2012
462
4

Computational Analysis of Behavior.
S E Roian Egnor, Kristin Branson. Annu Rev Neurosci 2016
58
6

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
4

High-dimensional geometry of population responses in visual cortex.
Carsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Matteo Carandini, Kenneth D Harris. Nature 2019
70
5

Human-level control through deep reinforcement learning.
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski,[...]. Nature 2015
773
4

A deep learning framework for neuroscience.
Blake A Richards, Timothy P Lillicrap, Philippe Beaudoin, Yoshua Bengio, Rafal Bogacz, Amelia Christensen, Claudia Clopath, Rui Ponte Costa, Archy de Berker, Surya Ganguli,[...]. Nat Neurosci 2019
99
4

The Life of Behavior.
Alex Gomez-Marin, Asif A Ghazanfar. Neuron 2019
29
13

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
4

Error correction, sensory prediction, and adaptation in motor control.
Reza Shadmehr, Maurice A Smith, John W Krakauer. Annu Rev Neurosci 2010
760
4

Temporal structure of motor variability is dynamically regulated and predicts motor learning ability.
Howard G Wu, Yohsuke R Miyamoto, Luis Nicolas Gonzalez Castro, Bence P Ölveczky, Maurice A Smith. Nat Neurosci 2014
263
4

The neural basis of decision making.
Joshua I Gold, Michael N Shadlen. Annu Rev Neurosci 2007
4

Internal models in the cerebellum.
D M Wolpert, R C Miall, M Kawato. Trends Cogn Sci 1998
4


The importance of mixed selectivity in complex cognitive tasks.
Mattia Rigotti, Omri Barak, Melissa R Warden, Xiao-Jing Wang, Nathaniel D Daw, Earl K Miller, Stefano Fusi. Nature 2013
526
4

Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
534
4

Distributed and overlapping representations of faces and objects in ventral temporal cortex.
J V Haxby, M I Gobbini, M L Furey, A Ishai, J L Schouten, P Pietrini. Science 2001
4

A map of object space in primate inferotemporal cortex.
Pinglei Bao, Liang She, Mason McGill, Doris Y Tsao. Nature 2020
26
15

The neural basis of predictive pursuit.
Seng Bum Michael Yoo, Jiaxin Cindy Tu, Steven T Piantadosi, Benjamin Yost Hayden. Nat Neurosci 2020
13
30

Using DeepLabCut for 3D markerless pose estimation across species and behaviors.
Tanmay Nath, Alexander Mathis, An Chi Chen, Amir Patel, Matthias Bethge, Mackenzie Weygandt Mathis. Nat Protoc 2019
148
4

Using second-person neuroscience to elucidate the mechanisms of social interaction.
Elizabeth Redcay, Leonhard Schilbach. Nat Rev Neurosci 2019
116
4


The successor representation in human reinforcement learning.
I Momennejad, E M Russek, J H Cheong, M M Botvinick, N D Daw, S J Gershman. Nat Hum Behav 2017
70
4


Direct recordings of grid-like neuronal activity in human spatial navigation.
Joshua Jacobs, Christoph T Weidemann, Jonathan F Miller, Alec Solway, John F Burke, Xue-Xin Wei, Nanthia Suthana, Michael R Sperling, Ashwini D Sharan, Itzhak Fried,[...]. Nat Neurosci 2013
206
3


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.