
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:
Linking Connectivity, Dynamics, and Computations in Low-Rank Recurrent Neural Networks
Francesca Mastrogiuseppe, Srdjan Ostojic
Neuron (2018) Vol. 99, Iss. 3, pp. 609-623.e29
Open Access | Times Cited: 324
Francesca Mastrogiuseppe, Srdjan Ostojic
Neuron (2018) Vol. 99, Iss. 3, pp. 609-623.e29
Open Access | Times Cited: 324
Showing 1-25 of 324 citing articles:
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: 308
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: 308
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: 284
Guangyu Robert Yang, Xiao‐Jing Wang
Neuron (2020) Vol. 107, Iss. 6, pp. 1048-1070
Open Access | Times Cited: 284
Large-scale neural recordings call for new insights to link brain and behavior
Anne E. Urai, Brent Doiron, Andrew M. Leifer, et al.
Nature Neuroscience (2022) Vol. 25, Iss. 1, pp. 11-19
Closed Access | Times Cited: 253
Anne E. Urai, Brent Doiron, Andrew M. Leifer, et al.
Nature Neuroscience (2022) Vol. 25, Iss. 1, pp. 11-19
Closed 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
Orthogonal representations for robust context-dependent task performance in brains and neural networks
Timo Flesch, Keno Juechems, Tsvetomira Dumbalska, et al.
Neuron (2022) Vol. 110, Iss. 7, pp. 1258-1270.e11
Open Access | Times Cited: 169
Timo Flesch, Keno Juechems, Tsvetomira Dumbalska, et al.
Neuron (2022) Vol. 110, Iss. 7, pp. 1258-1270.e11
Open Access | Times Cited: 169
The role of population structure in computations through neural dynamics
Alexis Dubreuil, Adrian Valente, Manuel Beirán, et al.
Nature Neuroscience (2022) Vol. 25, Iss. 6, pp. 783-794
Open Access | Times Cited: 147
Alexis Dubreuil, Adrian Valente, Manuel Beirán, et al.
Nature Neuroscience (2022) Vol. 25, Iss. 6, pp. 783-794
Open Access | Times Cited: 147
Interpreting neural computations by examining intrinsic and embedding dimensionality of neural activity
Mehrdad Jazayeri, Srdjan Ostojic
Current Opinion in Neurobiology (2021) Vol. 70, pp. 113-120
Open Access | Times Cited: 138
Mehrdad Jazayeri, Srdjan Ostojic
Current Opinion in Neurobiology (2021) Vol. 70, pp. 113-120
Open Access | Times Cited: 138
The neuroconnectionist research programme
Adrien Doerig, Rowan P. Sommers, Katja Seeliger, et al.
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 7, pp. 431-450
Open Access | Times Cited: 130
Adrien Doerig, Rowan P. Sommers, Katja Seeliger, et al.
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 7, pp. 431-450
Open Access | Times Cited: 130
A unifying perspective on neural manifolds and circuits for cognition
Christopher Langdon, Mikhail Genkin, Tatiana A. Engel
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 6, pp. 363-377
Closed Access | Times Cited: 116
Christopher Langdon, Mikhail Genkin, Tatiana A. Engel
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 6, pp. 363-377
Closed Access | Times Cited: 116
Thalamic control of cortical dynamics in a model of flexible motor sequencing
Laureline Logiaco, L. F. Abbott, G. Sean Escola
Cell Reports (2021) Vol. 35, Iss. 9, pp. 109090-109090
Open Access | Times Cited: 109
Laureline Logiaco, L. F. Abbott, G. Sean Escola
Cell Reports (2021) Vol. 35, Iss. 9, pp. 109090-109090
Open Access | Times Cited: 109
Optimal anticipatory control as a theory of motor preparation: A thalamo-cortical circuit model
Ta-Chu Kao, Mahdieh S. Sadabadi, Guillaume Hennequin
Neuron (2021) Vol. 109, Iss. 9, pp. 1567-1581.e12
Open Access | Times Cited: 108
Ta-Chu Kao, Mahdieh S. Sadabadi, Guillaume Hennequin
Neuron (2021) Vol. 109, Iss. 9, pp. 1567-1581.e12
Open Access | Times Cited: 108
Representational drift: Emerging theories for continual learning and experimental future directions
Laura N. Driscoll, Lea Duncker, Christopher D. Harvey
Current Opinion in Neurobiology (2022) Vol. 76, pp. 102609-102609
Closed Access | Times Cited: 94
Laura N. Driscoll, Lea Duncker, Christopher D. Harvey
Current Opinion in Neurobiology (2022) Vol. 76, pp. 102609-102609
Closed Access | Times Cited: 94
Flexible multitask computation in recurrent networks utilizes shared dynamical motifs
Laura N. Driscoll, Krishna V. Shenoy, David Sussillo
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 73
Laura N. Driscoll, Krishna V. Shenoy, David Sussillo
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 73
Parametric control of flexible timing through low-dimensional neural manifolds
Manuel Beirán, Nicolas Meirhaeghe, Hansem Sohn, et al.
Neuron (2023) Vol. 111, Iss. 5, pp. 739-753.e8
Open Access | Times Cited: 50
Manuel Beirán, Nicolas Meirhaeghe, Hansem Sohn, et al.
Neuron (2023) Vol. 111, Iss. 5, pp. 739-753.e8
Open Access | Times Cited: 50
The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks
Brian DePasquale, David Sussillo, L. F. Abbott, et al.
Neuron (2023) Vol. 111, Iss. 5, pp. 631-649.e10
Open Access | Times Cited: 45
Brian DePasquale, David Sussillo, L. F. Abbott, et al.
Neuron (2023) Vol. 111, Iss. 5, pp. 631-649.e10
Open Access | Times Cited: 45
Reconstructing computational system dynamics from neural data with recurrent neural networks
Daniel Durstewitz, Georgia Koppe, Max Ingo Thurm
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 11, pp. 693-710
Closed Access | Times Cited: 45
Daniel Durstewitz, Georgia Koppe, Max Ingo Thurm
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 11, pp. 693-710
Closed Access | Times Cited: 45
Flexible multitask computation in recurrent networks utilizes shared dynamical motifs
Laura N. Driscoll, Krishna V. Shenoy, David Sussillo
Nature Neuroscience (2024) Vol. 27, Iss. 7, pp. 1349-1363
Open Access | Times Cited: 45
Laura N. Driscoll, Krishna V. Shenoy, David Sussillo
Nature Neuroscience (2024) Vol. 27, Iss. 7, pp. 1349-1363
Open Access | Times Cited: 45
Preparatory activity and the expansive null-space
Mark M. Churchland, Krishna V. Shenoy
Nature reviews. Neuroscience (2024) Vol. 25, Iss. 4, pp. 213-236
Closed Access | Times Cited: 33
Mark M. Churchland, Krishna V. Shenoy
Nature reviews. Neuroscience (2024) Vol. 25, Iss. 4, pp. 213-236
Closed Access | Times Cited: 33
The computational foundations of dynamic coding in working memory
Jake P. Stroud, John Duncan, Máté Lengyel
Trends in Cognitive Sciences (2024) Vol. 28, Iss. 7, pp. 614-627
Open Access | Times Cited: 16
Jake P. Stroud, John Duncan, Máté Lengyel
Trends in Cognitive Sciences (2024) Vol. 28, Iss. 7, pp. 614-627
Open Access | Times Cited: 16
Circuit Models of Low-Dimensional Shared Variability in Cortical Networks
Chengcheng Huang, Douglas A. Ruff, Ryan Pyle, et al.
Neuron (2018) Vol. 101, Iss. 2, pp. 337-348.e4
Open Access | Times Cited: 156
Chengcheng Huang, Douglas A. Ruff, Ryan Pyle, et al.
Neuron (2018) Vol. 101, Iss. 2, pp. 337-348.e4
Open Access | Times Cited: 156
Neuronal message passing using Mean-field, Bethe, and Marginal approximations
Thomas Parr, Dimitrije Marković, Stefan J. Kiebel, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 118
Thomas Parr, Dimitrije Marković, Stefan J. Kiebel, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 118
Analyzing biological and artificial neural networks: challenges with opportunities for synergy?
David G. T. Barrett, Ari S. Morcos, Jakob H. Macke
Current Opinion in Neurobiology (2019) Vol. 55, pp. 55-64
Open Access | Times Cited: 110
David G. T. Barrett, Ari S. Morcos, Jakob H. Macke
Current Opinion in Neurobiology (2019) Vol. 55, pp. 55-64
Open Access | Times Cited: 110
Learning function from structure in neuromorphic networks
Laura E. Suárez, Blake A. Richards, Guillaume Lajoie, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 9, pp. 771-786
Open Access | Times Cited: 91
Laura E. Suárez, Blake A. Richards, Guillaume Lajoie, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 9, pp. 771-786
Open Access | Times Cited: 91
Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity
Stefano Recanatesi, Gabriel Koch Ocker, Michael A. Buice, et al.
PLoS Computational Biology (2019) Vol. 15, Iss. 7, pp. e1006446-e1006446
Open Access | Times Cited: 79
Stefano Recanatesi, Gabriel Koch Ocker, Michael A. Buice, et al.
PLoS Computational Biology (2019) Vol. 15, Iss. 7, pp. e1006446-e1006446
Open Access | Times Cited: 79
Dynamics of random recurrent networks with correlated low-rank structure
Friedrich Schuessler, Alexis Dubreuil, Francesca Mastrogiuseppe, et al.
Physical Review Research (2020) Vol. 2, Iss. 1
Open Access | Times Cited: 77
Friedrich Schuessler, Alexis Dubreuil, Francesca Mastrogiuseppe, et al.
Physical Review Research (2020) Vol. 2, Iss. 1
Open Access | Times Cited: 77