A citation-based method for searching scientific literature

Mattia Rigotti, Omri Barak, Melissa R Warden, Xiao-Jing Wang, Nathaniel D Daw, Earl K Miller, Stefano Fusi. Nature 2013
Times Cited: 669







List of co-cited articles
1008 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Why neurons mix: high dimensionality for higher cognition.
Stefano Fusi, Earl K Miller, Mattia Rigotti. Curr Opin Neurobiol 2016
235
35

Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
672
27

An integrative theory of prefrontal cortex function.
E K Miller, J D Cohen. Annu Rev Neurosci 2001
15

Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
442
14

Dynamic coding for cognitive control in prefrontal cortex.
Mark G Stokes, Makoto Kusunoki, Natasha Sigala, Hamed Nili, David Gaffan, John Duncan. Neuron 2013
384
14

A category-free neural population supports evolving demands during decision-making.
David Raposo, Matthew T Kaufman, Anne K Churchland. Nat Neurosci 2014
240
12

The Geometry of Abstraction in the Hippocampus and Prefrontal Cortex.
Silvia Bernardi, Marcus K Benna, Mattia Rigotti, Jérôme Munuera, Stefano Fusi, C Daniel Salzman. Cell 2020
57
21

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
638
11

Single neurons in prefrontal cortex encode abstract rules.
J D Wallis, K C Anderson, E K Miller. Nature 2001
654
10

The dimensionality of neural representations for control.
David Badre, Apoorva Bhandari, Haley Keglovits, Atsushi Kikumoto. Curr Opin Behav Sci 2021
26
38

Spontaneous behaviors drive multidimensional, brainwide activity.
Carsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Charu Bai Reddy, Matteo Carandini, Kenneth D Harris. Science 2019
399
10

Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex.
S Funahashi, C J Bruce, P S Goldman-Rakic. J Neurophysiol 1989
10

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
260
9

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
197
9

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
298
9

Mixed selectivity morphs population codes in prefrontal cortex.
Aishwarya Parthasarathy, Roger Herikstad, Jit Hon Bong, Felipe Salvador Medina, Camilo Libedinsky, Shih-Cheng Yen. Nat Neurosci 2017
68
13

Flexible timing by temporal scaling of cortical responses.
Jing Wang, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Nat Neurosci 2018
155
9

A multi-modal parcellation of human cerebral cortex.
Matthew F Glasser, Timothy S Coalson, Emma C Robinson, Carl D Hacker, John Harwell, Essa Yacoub, Kamil Ugurbil, Jesper Andersson, Christian F Beckmann, Mark Jenkinson,[...]. Nature 2016
8


Cortical information flow during flexible sensorimotor decisions.
Markus Siegel, Timothy J Buschman, Earl K Miller. Science 2015
207
8

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
300
8

High-dimensional geometry of population responses in visual cortex.
Carsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Matteo Carandini, Kenneth D Harris. Nature 2019
144
8

Neural Manifolds for the Control of Movement.
Juan A Gallego, Matthew G Perich, Lee E Miller, Sara A Solla. Neuron 2017
157
8

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
273
8

Hierarchical reasoning by neural circuits in the frontal cortex.
Morteza Sarafyazd, Mehrdad Jazayeri. Science 2019
51
13

Prefrontal cortex as a meta-reinforcement learning system.
Jane X Wang, Zeb Kurth-Nelson, Dharshan Kumaran, Dhruva Tirumala, Hubert Soyer, Joel Z Leibo, Demis Hassabis, Matthew Botvinick. Nat Neurosci 2018
155
7

Prefrontal cortex exhibits multidimensional dynamic encoding during decision-making.
Mikio C Aoi, Valerio Mante, Jonathan W Pillow. Nat Neurosci 2020
26
26

Neural mechanisms of selective visual attention.
R Desimone, J Duncan. Annu Rev Neurosci 1995
7

Choice-specific sequences in parietal cortex during a virtual-navigation decision task.
Christopher D Harvey, Philip Coen, David W Tank. Nature 2012
526
7

Task-Dependent Changes in the Large-Scale Dynamics and Necessity of Cortical Regions.
Lucas Pinto, Kanaka Rajan, Brian DePasquale, Stephan Y Thiberge, David W Tank, Carlos D Brody. Neuron 2019
86
8

Dynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex.
Laura N Driscoll, Noah L Pettit, Matthias Minderer, Selmaan N Chettih, Christopher D Harvey. Cell 2017
141
7


Dynamic population coding of category information in inferior temporal and prefrontal cortex.
Ethan M Meyers, David J Freedman, Gabriel Kreiman, Earl K Miller, Tomaso Poggio. J Neurophysiol 2008
209
7

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
139
7


Shared mechanisms underlie the control of working memory and attention.
Matthew F Panichello, Timothy J Buschman. Nature 2021
51
13

Task representations in neural networks trained to perform many cognitive tasks.
Guangyu Robert Yang, Madhura R Joglekar, H Francis Song, William T Newsome, Xiao-Jing Wang. Nat Neurosci 2019
100
7

The neural basis of decision making.
Joshua I Gold, Michael N Shadlen. Annu Rev Neurosci 2007
7

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
257
6


Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics.
Evan D Remington, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Neuron 2018
96
6

Navigating the Neural Space in Search of the Neural Code.
Mehrdad Jazayeri, Arash Afraz. Neuron 2017
121
6

A Domain-General Cognitive Core Defined in Multimodally Parcellated Human Cortex.
Moataz Assem, Matthew F Glasser, David C Van Essen, John Duncan. Cereb Cortex 2020
82
7

The organization of the human cerebral cortex estimated by intrinsic functional connectivity.
B T Thomas Yeo, Fenna M Krienen, Jorge Sepulcre, Mert R Sabuncu, Danial Lashkari, Marisa Hollinshead, Joshua L Roffman, Jordan W Smoller, Lilla Zöllei, Jonathan R Polimeni,[...]. J Neurophysiol 2011
6

Multi-task connectivity reveals flexible hubs for adaptive task control.
Michael W Cole, Jeremy R Reynolds, Jonathan D Power, Grega Repovs, Alan Anticevic, Todd S Braver. Nat Neurosci 2013
896
6

The Psychophysics Toolbox.
D H Brainard. Spat Vis 1997
6

Internally generated cell assembly sequences in the rat hippocampus.
Eva Pastalkova, Vladimir Itskov, Asohan Amarasingham, György Buzsáki. Science 2008
672
6

Abrupt transitions between prefrontal neural ensemble states accompany behavioral transitions during rule learning.
Daniel Durstewitz, Nicole M Vittoz, Stan B Floresco, Jeremy K Seamans. Neuron 2010
205
6

Reservoir Computing Properties of Neural Dynamics in Prefrontal Cortex.
Pierre Enel, Emmanuel Procyk, René Quilodran, Peter Ford Dominey. PLoS Comput Biol 2016
55
10

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
941
6


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.