
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
A neural network that finds a naturalistic solution for the production of muscle activity
David Sussillo, Mark M. Churchland, Matthew T. Kaufman, et al.
Nature Neuroscience (2015) Vol. 18, Iss. 7, pp. 1025-1033
Open Access | Times Cited: 601
David Sussillo, Mark M. Churchland, Matthew T. Kaufman, et al.
Nature Neuroscience (2015) Vol. 18, Iss. 7, pp. 1025-1033
Open Access | Times Cited: 601
Showing 1-25 of 601 citing articles:
What Is a Cognitive Map? Organizing Knowledge for Flexible Behavior
Timothy E.J. Behrens, Timothy Müller, James C. R. Whittington, et al.
Neuron (2018) Vol. 100, Iss. 2, pp. 490-509
Open Access | Times Cited: 879
Timothy E.J. Behrens, Timothy Müller, James C. R. Whittington, et al.
Neuron (2018) Vol. 100, Iss. 2, pp. 490-509
Open Access | Times Cited: 879
Toward an Integration of Deep Learning and Neuroscience
Adam Marblestone, Greg Wayne, Konrad P. Körding
Frontiers in Computational Neuroscience (2016) Vol. 10
Open Access | Times Cited: 631
Adam Marblestone, Greg Wayne, Konrad P. Körding
Frontiers in Computational Neuroscience (2016) Vol. 10
Open Access | Times Cited: 631
Reinforcement Learning, Fast and Slow
Matthew Botvinick, Sam Ritter, Jane X. Wang, et al.
Trends in Cognitive Sciences (2019) Vol. 23, Iss. 5, pp. 408-422
Open Access | Times Cited: 609
Matthew Botvinick, Sam Ritter, Jane X. Wang, et al.
Trends in Cognitive Sciences (2019) Vol. 23, Iss. 5, pp. 408-422
Open Access | Times Cited: 609
Inferring single-trial neural population dynamics using sequential auto-encoders
Chethan Pandarinath, Daniel J. O’Shea, Jasmine Collins, et al.
Nature Methods (2018) Vol. 15, Iss. 10, pp. 805-815
Open Access | Times Cited: 583
Chethan Pandarinath, Daniel J. O’Shea, Jasmine Collins, et al.
Nature Methods (2018) Vol. 15, Iss. 10, pp. 805-815
Open Access | Times Cited: 583
Neural Manifolds for the Control of Movement
Juan A. Gallego, Matthew G. Perich, Lee E. Miller, et al.
Neuron (2017) Vol. 94, Iss. 5, pp. 978-984
Open Access | Times Cited: 574
Juan A. Gallego, Matthew G. Perich, Lee E. Miller, et al.
Neuron (2017) Vol. 94, Iss. 5, pp. 978-984
Open Access | Times Cited: 574
Computation Through Neural Population Dynamics
Saurabh Vyas, Matthew D. Golub, David Sussillo, et al.
Annual Review of Neuroscience (2020) Vol. 43, Iss. 1, pp. 249-275
Open Access | Times Cited: 529
Saurabh Vyas, Matthew D. Golub, David Sussillo, et al.
Annual Review of Neuroscience (2020) Vol. 43, Iss. 1, pp. 249-275
Open Access | Times Cited: 529
Flexible timing by temporal scaling of cortical responses
Jing Wang, Devika Narain, Eghbal A. Hosseini, et al.
Nature Neuroscience (2017) Vol. 21, Iss. 1, pp. 102-110
Open Access | Times Cited: 471
Jing Wang, Devika Narain, Eghbal A. Hosseini, et al.
Nature Neuroscience (2017) Vol. 21, Iss. 1, pp. 102-110
Open Access | Times Cited: 471
Reorganization between preparatory and movement population responses in motor cortex
Gamaleldin F. Elsayed, Antonio H. Lara, Matthew T. Kaufman, et al.
Nature Communications (2016) Vol. 7, Iss. 1
Open Access | Times Cited: 431
Gamaleldin F. Elsayed, Antonio H. Lara, Matthew T. Kaufman, et al.
Nature Communications (2016) Vol. 7, Iss. 1
Open Access | Times Cited: 431
Long-term stability of cortical population dynamics underlying consistent behavior
Juan A. Gallego, Matthew G. Perich, Raeed H. Chowdhury, et al.
Nature Neuroscience (2020) Vol. 23, Iss. 2, pp. 260-270
Open Access | Times Cited: 338
Juan A. Gallego, Matthew G. Perich, Raeed H. Chowdhury, et al.
Nature Neuroscience (2020) Vol. 23, Iss. 2, pp. 260-270
Open Access | Times Cited: 338
Motor Cortex Embeds Muscle-like Commands in an Untangled Population Response
Abigail A. Russo, Sean R. Bittner, Sean M. Perkins, et al.
Neuron (2018) Vol. 97, Iss. 4, pp. 953-966.e8
Open Access | Times Cited: 299
Abigail A. Russo, Sean R. Bittner, Sean M. Perkins, et al.
Neuron (2018) Vol. 97, Iss. 4, pp. 953-966.e8
Open Access | Times Cited: 299
Artificial Neural Networks for Neuroscientists: A Primer
Guangyu Robert Yang, Xiao‐Jing Wang
Neuron (2020) Vol. 107, Iss. 6, pp. 1048-1070
Open Access | Times Cited: 291
Guangyu Robert Yang, Xiao‐Jing Wang
Neuron (2020) Vol. 107, Iss. 6, pp. 1048-1070
Open Access | Times Cited: 291
Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics
Evan D. Remington, Devika Narain, Eghbal A. Hosseini, et al.
Neuron (2018) Vol. 98, Iss. 5, pp. 1005-1019.e5
Open Access | Times Cited: 285
Evan D. Remington, Devika Narain, Eghbal A. Hosseini, et al.
Neuron (2018) Vol. 98, Iss. 5, pp. 1005-1019.e5
Open Access | Times Cited: 285
Training Excitatory-Inhibitory Recurrent Neural Networks for Cognitive Tasks: A Simple and Flexible Framework
Hui Song, Guangyu Robert Yang, Xiao‐Jing Wang
PLoS Computational Biology (2016) Vol. 12, Iss. 2, pp. e1004792-e1004792
Open Access | Times Cited: 284
Hui Song, Guangyu Robert Yang, Xiao‐Jing Wang
PLoS Computational Biology (2016) Vol. 12, Iss. 2, pp. e1004792-e1004792
Open Access | Times Cited: 284
Towards the neural population doctrine
Shreya Saxena, John P. Cunningham
Current Opinion in Neurobiology (2019) Vol. 55, pp. 103-111
Closed Access | Times Cited: 279
Shreya Saxena, John P. Cunningham
Current Opinion in Neurobiology (2019) Vol. 55, pp. 103-111
Closed Access | Times Cited: 279
Cortical population activity within a preserved neural manifold underlies multiple motor behaviors
Juan A. Gallego, Matthew G. Perich, Stephanie Naufel, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 277
Juan A. Gallego, Matthew G. Perich, Stephanie Naufel, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 277
Unsupervised neural network models of the ventral visual stream
Chengxu Zhuang, Siming Yan, Aran Nayebi, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 3
Open Access | Times Cited: 263
Chengxu Zhuang, Siming Yan, Aran Nayebi, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 3
Open Access | Times Cited: 263
Physiological Markers of Motor Inhibition during Human Behavior
Julie Duqué, Ian Greenhouse, Ludovica Labruna, et al.
Trends in Neurosciences (2017) Vol. 40, Iss. 4, pp. 219-236
Open Access | Times Cited: 253
Julie Duqué, Ian Greenhouse, Ludovica Labruna, et al.
Trends in Neurosciences (2017) Vol. 40, Iss. 4, pp. 219-236
Open Access | Times Cited: 253
Bayesian Computation through Cortical Latent Dynamics
Hansem Sohn, Devika Narain, Nicolas Meirhaeghe, et al.
Neuron (2019) Vol. 103, Iss. 5, pp. 934-947.e5
Open Access | Times Cited: 224
Hansem Sohn, Devika Narain, Nicolas Meirhaeghe, et al.
Neuron (2019) Vol. 103, Iss. 5, pp. 934-947.e5
Open Access | Times Cited: 224
The Largest Response Component in the Motor Cortex Reflects Movement Timing but Not Movement Type
Matthew T. Kaufman, Jeffrey Seely, David Sussillo, et al.
eNeuro (2016) Vol. 3, Iss. 4, pp. ENEURO.0085-16.2016
Open Access | Times Cited: 223
Matthew T. Kaufman, Jeffrey Seely, David Sussillo, et al.
eNeuro (2016) Vol. 3, Iss. 4, pp. ENEURO.0085-16.2016
Open Access | Times Cited: 223
Recurrent neural networks as versatile tools of neuroscience research
Omri Barak
Current Opinion in Neurobiology (2017) Vol. 46, pp. 1-6
Closed Access | Times Cited: 222
Omri Barak
Current Opinion in Neurobiology (2017) Vol. 46, pp. 1-6
Closed Access | Times Cited: 222
Building functional networks of spiking model neurons
L. F. Abbott, Brian DePasquale, Raoul-Martin Memmesheimer
Nature Neuroscience (2016) Vol. 19, Iss. 3, pp. 350-355
Open Access | Times Cited: 219
L. F. Abbott, Brian DePasquale, Raoul-Martin Memmesheimer
Nature Neuroscience (2016) Vol. 19, Iss. 3, pp. 350-355
Open Access | Times Cited: 219
Deep Reinforcement Learning and Its Neuroscientific Implications
Matthew Botvinick, Jane X. Wang, Will Dabney, et al.
Neuron (2020) Vol. 107, Iss. 4, pp. 603-616
Open Access | Times Cited: 205
Matthew Botvinick, Jane X. Wang, Will Dabney, et al.
Neuron (2020) Vol. 107, Iss. 4, pp. 603-616
Open Access | Times Cited: 205
Neural Population Dynamics during Reaching Are Better Explained by a Dynamical System than Representational Tuning
Jonathan A. Michaels, Benjamin Dann, Hansjörg Scherberger
PLoS Computational Biology (2016) Vol. 12, Iss. 11, pp. e1005175-e1005175
Open Access | Times Cited: 184
Jonathan A. Michaels, Benjamin Dann, Hansjörg Scherberger
PLoS Computational Biology (2016) Vol. 12, Iss. 11, pp. e1005175-e1005175
Open Access | Times Cited: 184
Structure in neural population recordings: an expected byproduct of simpler phenomena?
Gamaleldin F. Elsayed, John P. Cunningham
Nature Neuroscience (2017) Vol. 20, Iss. 9, pp. 1310-1318
Open Access | Times Cited: 173
Gamaleldin F. Elsayed, John P. Cunningham
Nature Neuroscience (2017) Vol. 20, Iss. 9, pp. 1310-1318
Open Access | Times Cited: 173
A diverse range of factors affect the nature of neural representations underlying short-term memory
A. Emin Orhan, Wei Ji
Nature Neuroscience (2019) Vol. 22, Iss. 2, pp. 275-283
Open Access | Times Cited: 148
A. Emin Orhan, Wei Ji
Nature Neuroscience (2019) Vol. 22, Iss. 2, pp. 275-283
Open Access | Times Cited: 148