A citation-based method for searching scientific literature

Edgar Y Walker, Fabian H Sinz, Erick Cobos, Taliah Muhammad, Emmanouil Froudarakis, Paul G Fahey, Alexander S Ecker, Jacob Reimer, Xaq Pitkow, Andreas S Tolias. Nat Neurosci 2019
Times Cited: 11







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



Times Cited
  Times     Co-cited
Similarity


Neuroscience-Inspired Artificial Intelligence.
Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, Matthew Botvinick. Neuron 2017
162
45

Vector-based navigation using grid-like representations in artificial agents.
Andrea Banino, Caswell Barry, Benigno Uria, Charles Blundell, Timothy Lillicrap, Piotr Mirowski, Alexander Pritzel, Martin J Chadwick, Thomas Degris, Joseph Modayil,[...]. Nature 2018
90
45

How advances in neural recording affect data analysis.
Ian H Stevenson, Konrad P Kording. Nat Neurosci 2011
202
45

Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences.
Carlos R Ponce, Will Xiao, Peter F Schade, Till S Hartmann, Gabriel Kreiman, Margaret S Livingstone. Cell 2019
38
45

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
45

Neural population control via deep image synthesis.
Pouya Bashivan, Kohitij Kar, James J DiCarlo. Science 2019
57
45

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
36



Engineering a Less Artificial Intelligence.
Fabian H Sinz, Xaq Pitkow, Jacob Reimer, Matthias Bethge, Andreas S Tolias. Neuron 2019
19
27

Neuroscience Needs Behavior: Correcting a Reductionist Bias.
John W Krakauer, Asif A Ghazanfar, Alex Gomez-Marin, Malcolm A MacIver, David Poeppel. Neuron 2017
337
27

Wide. Fast. Deep: Recent Advances in Multiphoton Microscopy of In Vivo Neuronal Activity.
Jérôme Lecoq, Natalia Orlova, Benjamin F Grewe. J Neurosci 2019
17
27

Navigating cognition: Spatial codes for human thinking.
Jacob L S Bellmund, Peter Gärdenfors, Edvard I Moser, Christian F Doeller. Science 2018
97
27

Deep convolutional models improve predictions of macaque V1 responses to natural images.
Santiago A Cadena, George H Denfield, Edgar Y Walker, Leon A Gatys, Andreas S Tolias, Matthias Bethge, Alexander S Ecker. PLoS Comput Biol 2019
37
27

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
328
27

Toward an Integration of Deep Learning and Neuroscience.
Adam H Marblestone, Greg Wayne, Konrad P Kording. Front Comput Neurosci 2016
141
27

Challenges and opportunities for large-scale electrophysiology with Neuropixels probes.
Nicholas A Steinmetz, Christof Koch, Kenneth D Harris, Matteo Carandini. Curr Opin Neurobiol 2018
64
27

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
138
27

Organizing conceptual knowledge in humans with a gridlike code.
Alexandra O Constantinescu, Jill X O'Reilly, Timothy E J Behrens. Science 2016
209
27

Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
315
27

Towards the neural population doctrine.
Shreya Saxena, John P Cunningham. Curr Opin Neurobiol 2019
33
27

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
27


Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators.
Lin Tian, S Andrew Hires, Tianyi Mao, Daniel Huber, M Eugenia Chiappe, Sreekanth H Chalasani, Leopoldo Petreanu, Jasper Akerboom, Sean A McKinney, Eric R Schreiter,[...]. Nat Methods 2009
18

Ultrasensitive fluorescent proteins for imaging neuronal activity.
Tsai-Wen Chen, Trevor J Wardill, Yi Sun, Stefan R Pulver, Sabine L Renninger, Amy Baohan, Eric R Schreiter, Rex A Kerr, Michael B Orger, Vivek Jayaraman,[...]. Nature 2013
18

Accurate Estimation of Neural Population Dynamics without Spike Sorting.
Eric M Trautmann, Sergey D Stavisky, Subhaneil Lahiri, Katherine C Ames, Matthew T Kaufman, Daniel J O'Shea, Saurabh Vyas, Xulu Sun, Stephen I Ryu, Surya Ganguli,[...]. Neuron 2019
43
18

Principles of connectivity among morphologically defined cell types in adult neocortex.
Xiaolong Jiang, Shan Shen, Cathryn R Cadwell, Philipp Berens, Fabian Sinz, Alexander S Ecker, Saumil Patel, Andreas S Tolias. Science 2015
341
18

Overcoming catastrophic forgetting in neural networks.
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska,[...]. Proc Natl Acad Sci U S A 2017
110
18




A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex.
Jeff Hawkins, Marcus Lewis, Mirko Klukas, Scott Purdy, Subutai Ahmad. Front Neural Circuits 2019
13
18

Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization.
Nicolas Y Masse, Gregory D Grant, David J Freedman. Proc Natl Acad Sci U S A 2018
20
18

Evidence that recurrent circuits are critical to the ventral stream's execution of core object recognition behavior.
Kohitij Kar, Jonas Kubilius, Kailyn Schmidt, Elias B Issa, James J DiCarlo. Nat Neurosci 2019
62
18

Neural basis of reinforcement learning and decision making.
Daeyeol Lee, Hyojung Seo, Min Whan Jung. Annu Rev Neurosci 2012
181
18

The hippocampus as a predictive map.
Kimberly L Stachenfeld, Matthew M Botvinick, Samuel J Gershman. Nat Neurosci 2017
159
18

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
18


Cognitive maps in rats and men.
E C TOLMAN. Psychol Rev 1948
18


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
18

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
516
18

Navigating the Neural Space in Search of the Neural Code.
Mehrdad Jazayeri, Arash Afraz. Neuron 2017
81
18

Closed-loop and activity-guided optogenetic control.
Logan Grosenick, James H Marshel, Karl Deisseroth. Neuron 2015
159
18

A map of object space in primate inferotemporal cortex.
Pinglei Bao, Liang She, Mason McGill, Doris Y Tsao. Nature 2020
26
18

A three-dimensional microelectrode array for chronic neural recording.
A C Hoogerwerf, K D Wise. IEEE Trans Biomed Eng 1994
133
18

Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals.
Antal Berényi, Zoltán Somogyvári, Anett J Nagy, Lisa Roux, John D Long, Shigeyoshi Fujisawa, Eran Stark, Anthony Leonardo, Timothy D Harris, György Buzsáki. J Neurophysiol 2014
158
18

Nanofabricated Neural Probes for Dense 3-D Recordings of Brain Activity.
Gustavo Rios, Evgueniy V Lubenov, Derrick Chi, Michael L Roukes, Athanassios G Siapas. Nano Lett 2016
55
18

Brain activity mapping at multiple scales with silicon microprobes containing 1,024 electrodes.
Justin L Shobe, Leslie D Claar, Sepideh Parhami, Konstantin I Bakhurin, Sotiris C Masmanidis. J Neurophysiol 2015
64
18

Can One Concurrently Record Electrical Spikes from Every Neuron in a Mammalian Brain?
David Kleinfeld, Lan Luan, Partha P Mitra, Jacob T Robinson, Rahul Sarpeshkar, Kenneth Shepard, Chong Xie, Timothy D Harris. Neuron 2019
9
22


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.