A citation-based method for searching scientific literature

Mehrdad Jazayeri, Srdjan Ostojic. Curr Opin Neurobiol 2021
Times Cited: 14







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



Times Cited
  Times     Co-cited
Similarity


Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
654
64

Towards the neural population doctrine.
Shreya Saxena, John P Cunningham. Curr Opin Neurobiol 2019
69
42

Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
428
42

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
655
35

Neural Manifolds for the Control of Movement.
Juan A Gallego, Matthew G Perich, Lee E Miller, Sara A Solla. Neuron 2017
151
35



Why neurons mix: high dimensionality for higher cognition.
Stefano Fusi, Earl K Miller, Mattia Rigotti. Curr Opin Neurobiol 2016
231
35

Bayesian Computation through Cortical Latent Dynamics.
Hansem Sohn, Devika Narain, Nicolas Meirhaeghe, Mehrdad Jazayeri. Neuron 2019
52
28

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
52
28

The role of population structure in computations through neural dynamics.
Alexis Dubreuil, Adrian Valente, Manuel Beiran, Francesca Mastrogiuseppe, Srdjan Ostojic. Nat Neurosci 2022
8
50

Computation Through Neural Population Dynamics.
Saurabh Vyas, Matthew D Golub, David Sussillo, Krishna V Shenoy. Annu Rev Neurosci 2020
69
28

If deep learning is the answer, what is the question?
Andrew Saxe, Stephanie Nelli, Christopher Summerfield. Nat Rev Neurosci 2021
45
21

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
293
21

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
587
21

From the neuron doctrine to neural networks.
Rafael Yuste. Nat Rev Neurosci 2015
270
21

Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks.
Manuel Beiran, Alexis Dubreuil, Adrian Valente, Francesca Mastrogiuseppe, Srdjan Ostojic. Neural Comput 2021
7
42


High-performance calcium sensors for imaging activity in neuronal populations and microcompartments.
Hod Dana, Yi Sun, Boaz Mohar, Brad K Hulse, Aaron M Kerlin, Jeremy P Hasseman, Getahun Tsegaye, Arthur Tsang, Allan Wong, Ronak Patel,[...]. Nat Methods 2019
350
21

Low-dimensional dynamics for working memory and time encoding.
Christopher J Cueva, Alex Saez, Encarni Marcos, Aldo Genovesio, Mehrdad Jazayeri, Ranulfo Romo, C Daniel Salzman, Michael N Shadlen, Stefano Fusi. Proc Natl Acad Sci U S A 2020
31
21

Prefrontal cortex exhibits multidimensional dynamic encoding during decision-making.
Mikio C Aoi, Valerio Mante, Jonathan W Pillow. Nat Neurosci 2020
24
21

Shared mechanisms underlie the control of working memory and attention.
Matthew F Panichello, Timothy J Buschman. Nature 2021
43
21

Flexible timing by temporal scaling of cortical responses.
Jing Wang, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Nat Neurosci 2018
153
21

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
154
21

Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex.
S Funahashi, C J Bruce, P S Goldman-Rakic. J Neurophysiol 1989
21

Reconciling persistent and dynamic hypotheses of working memory coding in prefrontal cortex.
Sean E Cavanagh, John P Towers, Joni D Wallis, Laurence T Hunt, Steven W Kennerley. Nat Commun 2018
52
21

The intrinsic attractor manifold and population dynamics of a canonical cognitive circuit across waking and sleep.
Rishidev Chaudhuri, Berk Gerçek, Biraj Pandey, Adrien Peyrache, Ila Fiete. Nat Neurosci 2019
65
14

How the brain keeps the eyes still.
H S Seung. Proc Natl Acad Sci U S A 1996
265
14


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
77
14

Analyzing biological and artificial neural networks: challenges with opportunities for synergy?
David Gt Barrett, Ari S Morcos, Jakob H Macke. Curr Opin Neurobiol 2019
29
14

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
665
14

High-dimensional geometry of population responses in visual cortex.
Carsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Matteo Carandini, Kenneth D Harris. Nature 2019
137
14

Navigating the Neural Space in Search of the Neural Code.
Mehrdad Jazayeri, Arash Afraz. Neuron 2017
120
14

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
424
14

Hierarchical Bayesian inference in the visual cortex.
Tai Sing Lee, David Mumford. J Opt Soc Am A Opt Image Sci Vis 2003
563
14

Portraits of communication in neuronal networks.
Gerald Hahn, Adrian Ponce-Alvarez, Gustavo Deco, Ad Aertsen, Arvind Kumar. Nat Rev Neurosci 2019
53
14

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
94
14


A dendritic disinhibitory circuit mechanism for pathway-specific gating.
Guangyu Robert Yang, John D Murray, Xiao-Jing Wang. Nat Commun 2016
64
14


The Bayesian brain: the role of uncertainty in neural coding and computation.
David C Knill, Alexandre Pouget. Trends Neurosci 2004
965
14

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
14

Rational Engineering of XCaMPs, a Multicolor GECI Suite for In Vivo Imaging of Complex Brain Circuit Dynamics.
Masatoshi Inoue, Atsuya Takeuchi, Satoshi Manita, Shin-Ichiro Horigane, Masayuki Sakamoto, Ryosuke Kawakami, Kazushi Yamaguchi, Kouhei Otomo, Hiroyuki Yokoyama, Ryang Kim,[...]. Cell 2019
108
14

Rapid mesoscale volumetric imaging of neural activity with synaptic resolution.
Rongwen Lu, Yajie Liang, Guanghan Meng, Pengcheng Zhou, Karel Svoboda, Liam Paninski, Na Ji. Nat Methods 2020
46
14

Fast, cell-resolution, contiguous-wide two-photon imaging to reveal functional network architectures across multi-modal cortical areas.
Keisuke Ota, Yasuhiro Oisi, Takayuki Suzuki, Muneki Ikeda, Yoshiki Ito, Tsubasa Ito, Hiroyuki Uwamori, Kenta Kobayashi, Midori Kobayashi, Maya Odagawa,[...]. Neuron 2021
24
14

Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings.
Nicholas A Steinmetz, Cagatay Aydin, Anna Lebedeva, Michael Okun, Marius Pachitariu, Marius Bauza, Maxime Beau, Jai Bhagat, Claudia Böhm, Martijn Broux,[...]. Science 2021
113
14


Context-Dependent Sensory Processing across Primary and Secondary Somatosensory Cortex.
Cameron Condylis, Eric Lowet, Jianguang Ni, Karina Bistrong, Timothy Ouellette, Nathaniel Josephs, Jerry L Chen. Neuron 2020
22
14

Ultra-large field-of-view two-photon microscopy.
Philbert S Tsai, Celine Mateo, Jeffrey J Field, Chris B Schaffer, Matthew E Anderson, David Kleinfeld. Opt Express 2015
61
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.