A citation-based method for searching scientific literature

Guangyu Robert Yang, Xiao-Jing Wang. Neuron 2020
Times Cited: 7







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



Times Cited
  Times     Co-cited
Similarity


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
90
71

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
314
57

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
412
42

Performance-optimized hierarchical models predict neural responses in higher visual cortex.
Daniel L K Yamins, Ha Hong, Charles F Cadieu, Ethan A Solomon, Darren Seibert, James J DiCarlo. Proc Natl Acad Sci U S A 2014
436
42

A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy.
Alexander J E Kell, Daniel L K Yamins, Erica N Shook, Sam V Norman-Haignere, Josh H McDermott. Neuron 2018
72
42

Deep neural network models of sensory systems: windows onto the role of task constraints.
Alexander Je Kell, Josh H McDermott. Curr Opin Neurobiol 2019
14
42


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
28

Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics.
Evan D Remington, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Neuron 2018
60
28

Deep Reinforcement Learning and Its Neuroscientific Implications.
Matthew Botvinick, Jane X Wang, Will Dabney, Kevin J Miller, Zeb Kurth-Nelson. Neuron 2020
13
28

Neuroscience-Inspired Artificial Intelligence.
Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, Matthew Botvinick. Neuron 2017
162
28

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
28

Spontaneous behaviors drive multidimensional, brainwide activity.
Carsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Charu Bai Reddy, Matteo Carandini, Kenneth D Harris. Science 2019
204
28

Toward an Integration of Deep Learning and Neuroscience.
Adam H Marblestone, Greg Wayne, Konrad P Kording. Front Comput Neurosci 2016
141
28

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
54
28

Reinforcement Learning, Fast and Slow.
Matthew Botvinick, Sam Ritter, Jane X Wang, Zeb Kurth-Nelson, Charles Blundell, Demis Hassabis. Trends Cogn Sci 2019
46
28

Computation Through Neural Population Dynamics.
Saurabh Vyas, Matthew D Golub, David Sussillo, Krishna V Shenoy. Annu Rev Neurosci 2020
15
28

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
328
28

Neural population control via deep image synthesis.
Pouya Bashivan, Kohitij Kar, James J DiCarlo. Science 2019
57
28


SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks.
Friedemann Zenke, Surya Ganguli. Neural Comput 2018
47
14


Flexible shaping: how learning in small steps helps.
Kai A Krueger, Peter Dayan. Cognition 2009
24
14

Automated task training and longitudinal monitoring of mouse mesoscale cortical circuits using home cages.
Timothy H Murphy, Nicholas J Michelson, Jamie D Boyd, Tony Fong, Luis A Bolanos, David Bierbrauer, Teri Siu, Matilde Balbi, Federico Bolanos, Matthieu Vanni,[...]. Elife 2020
5
20


Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
14

Thalamic regulation of switching between cortical representations enables cognitive flexibility.
Rajeev V Rikhye, Aditya Gilra, Michael M Halassa. Nat Neurosci 2018
52
14

Neural circuits as computational dynamical systems.
David Sussillo. Curr Opin Neurobiol 2014
70
14

Dynamic Control of Response Criterion in Premotor Cortex during Perceptual Detection under Temporal Uncertainty.
Federico Carnevale, Victor de Lafuente, Ranulfo Romo, Omri Barak, Néstor Parga. Neuron 2015
49
14

Standardized automated training of rhesus monkeys for neuroscience research in their housing environment.
M Berger, A Calapai, V Stephan, M Niessing, L Burchardt, A Gail, S Treue. J Neurophysiol 2018
25
14


Neuronal correlates of parametric working memory in the prefrontal cortex.
R Romo, C D Brody, A Hernández, L Lemus. Nature 1999
504
14



Circuit mechanisms for the maintenance and manipulation of information in working memory.
Nicolas Y Masse, Guangyu R Yang, H Francis Song, Xiao-Jing Wang, David J Freedman. Nat Neurosci 2019
34
14


Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
522
14

Recurrent Network Models of Sequence Generation and Memory.
Kanaka Rajan, Christopher D Harvey, David W Tank. Neuron 2016
113
14

The Eye As a Biomarker for Alzheimer's Disease.
Jeremiah K H Lim, Qiao-Xin Li, Zheng He, Algis J Vingrys, Vickie H Y Wong, Nicolas Currier, Jamie Mullen, Bang V Bui, Christine T O Nguyen. Front Neurosci 2016
81
14

Synaptic influences on rat ganglion-cell photoreceptors.
Kwoon Y Wong, Felice A Dunn, Dustin M Graham, David M Berson. J Physiol 2007
178
14

Systematic review of light exposure impact on human circadian rhythm.
Leena Tähkämö, Timo Partonen, Anu-Katriina Pesonen. Chronobiol Int 2019
43
14


Localization of Neuronal Gain Control in the Pupillary Response.
Corinne Frances Carle, Andrew Charles James, Yanti Rosli, Ted Maddess. Front Neurol 2019
4
25

Both a Gauge and a Filter: Cognitive Modulations of Pupil Size.
R Becket Ebitz, Tirin Moore. Front Neurol 2019
11
14

Pupil-linked arousal determines variability in perceptual decision making.
Peter R Murphy, Joachim Vandekerckhove, Sander Nieuwenhuis. PLoS Comput Biol 2014
54
14

A unified formula for light-adapted pupil size.
Andrew B Watson, John I Yellott. J Vis 2012
138
14

Form vision from melanopsin in humans.
Annette E Allen, Franck P Martial, Robert J Lucas. Nat Commun 2019
29
14

Pupillography as an objective indicator of fatigue.
Y Morad, H Lemberg, N Yofe, Y Dagan. Curr Eye Res 2000
46
14


Cortical modulation of pupillary function: systematic review.
Costanza Peinkhofer, Gitte M Knudsen, Rita Moretti, Daniel Kondziella. PeerJ 2019
11
14


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.