A citation-based method for searching scientific literature

Krishna V Shenoy, Maneesh Sahani, Mark M Churchland. Annu Rev Neurosci 2013
Times Cited: 283







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



Times Cited
  Times     Co-cited
Similarity


Neural population dynamics during reaching.
Mark M Churchland, John P Cunningham, Matthew T Kaufman, Justin D Foster, Paul Nuyujukian, Stephen I Ryu, Krishna V Shenoy. Nature 2012
497
42

Cortical activity in the null space: permitting preparation without movement.
Matthew T Kaufman, Mark M Churchland, Stephen I Ryu, Krishna V Shenoy. Nat Neurosci 2014
229
27

Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
522
25

Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
315
24

A neural network that finds a naturalistic solution for the production of muscle activity.
David Sussillo, Mark M Churchland, Matthew T Kaufman, Krishna V Shenoy. Nat Neurosci 2015
141
21

Cortical preparatory activity: representation of movement or first cog in a dynamical machine?
Mark M Churchland, John P Cunningham, Matthew T Kaufman, Stephen I Ryu, Krishna V Shenoy. Neuron 2010
198
20

Neural constraints on learning.
Patrick T Sadtler, Kristin M Quick, Matthew D Golub, Steven M Chase, Stephen I Ryu, Elizabeth C Tyler-Kabara, Byron M Yu, Aaron P Batista. Nature 2014
228
19

Motor Cortex Embeds Muscle-like Commands in an Untangled Population Response.
Abigail A Russo, Sean R Bittner, Sean M Perkins, Jeffrey S Seely, Brian M London, Antonio H Lara, Andrew Miri, Najja J Marshall, Adam Kohn, Thomas M Jessell,[...]. Neuron 2018
60
30

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
95
17

Inferring single-trial neural population dynamics using sequential auto-encoders.
Chethan Pandarinath, Daniel J O'Shea, Jasmine Collins, Rafal Jozefowicz, Sergey D Stavisky, Jonathan C Kao, Eric M Trautmann, Matthew T Kaufman, Stephen I Ryu, Leigh R Hochberg,[...]. Nat Methods 2018
88
19

Neural Population Dynamics during Reaching Are Better Explained by a Dynamical System than Representational Tuning.
Jonathan A Michaels, Benjamin Dann, Hansjörg Scherberger. PLoS Comput Biol 2016
41
41

Single-trial neural correlates of arm movement preparation.
Afsheen Afshar, Gopal Santhanam, Byron M Yu, Stephen I Ryu, Maneesh Sahani, Krishna V Shenoy. Neuron 2011
109
16

Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity.
Byron M Yu, John P Cunningham, Gopal Santhanam, Stephen I Ryu, Krishna V Shenoy, Maneesh Sahani. J Neurophysiol 2009
210
16

Demixed principal component analysis of neural population data.
Dmitry Kobak, Wieland Brendel, Christos Constantinidis, Claudia E Feierstein, Adam Kepecs, Zachary F Mainen, Xue-Lian Qi, Ranulfo Romo, Naoshige Uchida, Christian K Machens. Elife 2016
134
15

Neural Manifolds for the Control of Movement.
Juan A Gallego, Matthew G Perich, Lee E Miller, Sara A Solla. Neuron 2017
81
18

Flexible timing by temporal scaling of cortical responses.
Jing Wang, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Nat Neurosci 2018
107
14

A Dynamical Systems Perspective on Flexible Motor Timing.
Evan D Remington, Seth W Egger, Devika Narain, Jing Wang, Mehrdad Jazayeri. Trends Cogn Sci 2018
30
46

Neural dynamics of reaching following incorrect or absent motor preparation.
K Cora Ames, Stephen I Ryu, Krishna V Shenoy. Neuron 2014
75
18

The Largest Response Component in the Motor Cortex Reflects Movement Timing but Not Movement Type.
Matthew T Kaufman, Jeffrey S Seely, David Sussillo, Stephen I Ryu, Krishna V Shenoy, Mark M Churchland. eNeuro 2016
57
24

Robust neuronal dynamics in premotor cortex during motor planning.
Nuo Li, Kayvon Daie, Karel Svoboda, Shaul Druckmann. Nature 2016
162
13

Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics.
Evan D Remington, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Neuron 2018
60
21


Neural variability in premotor cortex provides a signature of motor preparation.
Mark M Churchland, Byron M Yu, Stephen I Ryu, Gopal Santhanam, Krishna V Shenoy. J Neurosci 2006
232
11

A cortico-cerebellar loop for motor planning.
Zhenyu Gao, Courtney Davis, Alyse M Thomas, Michael N Economo, Amada M Abrego, Karel Svoboda, Chris I De Zeeuw, Nuo Li. Nature 2018
100
11

Spontaneous behaviors drive multidimensional, brainwide activity.
Carsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Charu Bai Reddy, Matteo Carandini, Kenneth D Harris. Science 2019
204
11

Cortical pattern generation during dexterous movement is input-driven.
Britton A Sauerbrei, Jian-Zhong Guo, Jeremy D Cohen, Matteo Mischiati, Wendy Guo, Mayank Kabra, Nakul Verma, Brett Mensh, Kristin Branson, Adam W Hantman. Nature 2020
41
26

Cortical population activity within a preserved neural manifold underlies multiple motor behaviors.
Juan A Gallego, Matthew G Perich, Stephanie N Naufel, Christian Ethier, Sara A Solla, Lee E Miller. Nat Commun 2018
40
25

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
314
10



Maintenance of persistent activity in a frontal thalamocortical loop.
Zengcai V Guo, Hidehiko K Inagaki, Kayvon Daie, Shaul Druckmann, Charles R Gerfen, Karel Svoboda. Nature 2017
168
10

Neural Population Dynamics Underlying Motor Learning Transfer.
Saurabh Vyas, Nir Even-Chen, Sergey D Stavisky, Stephen I Ryu, Paul Nuyujukian, Krishna V Shenoy. Neuron 2018
39
25

A central source of movement variability.
Mark M Churchland, Afsheen Afshar, Krishna V Shenoy. Neuron 2006
221
10


Learning by neural reassociation.
Matthew D Golub, Patrick T Sadtler, Emily R Oby, Kristin M Quick, Stephen I Ryu, Elizabeth C Tyler-Kabara, Aaron P Batista, Steven M Chase, Byron M Yu. Nat Neurosci 2018
56
17

Single-trial dynamics of motor cortex and their applications to brain-machine interfaces.
Jonathan C Kao, Paul Nuyujukian, Stephen I Ryu, Mark M Churchland, John P Cunningham, Krishna V Shenoy. Nat Commun 2015
73
12

Optimal feedback control as a theory of motor coordination.
Emanuel Todorov, Michael I Jordan. Nat Neurosci 2002
9

Cortical Areas Interact through a Communication Subspace.
João D Semedo, Amin Zandvakili, Christian K Machens, Byron M Yu, Adam Kohn. Neuron 2019
45
20

Computing by Robust Transience: How the Fronto-Parietal Network Performs Sequential, Category-Based Decisions.
Warasinee Chaisangmongkon, Sruthi K Swaminathan, David J Freedman, Xiao-Jing Wang. Neuron 2017
44
20

Fully integrated silicon probes for high-density recording of neural activity.
James J Jun, Nicholas A Steinmetz, Joshua H Siegle, Daniel J Denman, Marius Bauza, Brian Barbarits, Albert K Lee, Costas A Anastassiou, Alexandru Andrei, Çağatay Aydın,[...]. Nature 2017
451
9

Emergence of reproducible spatiotemporal activity during motor learning.
Andrew J Peters, Simon X Chen, Takaki Komiyama. Nature 2014
206
9

Preparatory activity in premotor and motor cortex reflects the speed of the upcoming reach.
Mark M Churchland, Gopal Santhanam, Krishna V Shenoy. J Neurophysiol 2006
157
9

Conservation of preparatory neural events in monkey motor cortex regardless of how movement is initiated.
Antonio H Lara, Gamaleldin F Elsayed, Andrew J Zimnik, John P Cunningham, Mark M Churchland. Elife 2018
30
30

Descending pathways in motor control.
Roger N Lemon. Annu Rev Neurosci 2008
716
8


Navigating the Neural Space in Search of the Neural Code.
Mehrdad Jazayeri, Arash Afraz. Neuron 2017
81
9


A Neural Population Mechanism for Rapid Learning.
Matthew G Perich, Juan A Gallego, Lee E Miller. Neuron 2018
40
20

Neural mechanisms of movement planning: motor cortex and beyond.
Karel Svoboda, Nuo Li. Curr Opin Neurobiol 2018
85
9

A motor cortex circuit for motor planning and movement.
Nuo Li, Tsai-Wen Chen, Zengcai V Guo, Charles R Gerfen, Karel Svoboda. Nature 2015
211
8


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.