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OpenAlex Citation Counts

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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:

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

Showing 1-25 of 222 citing articles:

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
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
Grace W. Lindsay
Journal of Cognitive Neuroscience (2020) Vol. 33, Iss. 10, pp. 2017-2031
Open Access | Times Cited: 442
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: 327
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: 285
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: 151
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: 140
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: 110
On Logical Inference over Brains, Behaviour, and Artificial Neural Networks
Olivia Guest, Andrea E. Martin
Computational Brain & Behavior (2023) Vol. 6, Iss. 2, pp. 213-227
Open Access | Times Cited: 56
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
Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception
Achim Schilling, William Sedley, Richard Gerum, et al.
Brain (2023) Vol. 146, Iss. 12, pp. 4809-4825
Open Access | Times Cited: 45
Neuromorphic hardware for somatosensory neuroprostheses
Elisa Donati, Giacomo Valle
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 34
The mediodorsal thalamus in executive control
Mathieu Wolff, Michael M. Halassa
Neuron (2024) Vol. 112, Iss. 6, pp. 893-908
Closed Access | Times Cited: 18
Low-dimensional dynamics for working memory and time encoding
Christopher J. Cueva, Alex Saez, Encarni Marcos, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 37, pp. 23021-23032
Open Access | Times Cited: 135
The roles of supervised machine learning in systems neuroscience
Joshua I. Glaser, Ari S. Benjamin, Roozbeh Farhoodi, et al.
Progress in Neurobiology (2019) Vol. 175, pp. 126-137
Open Access | Times Cited: 129
Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks
Manuel Beirán, Alexis Dubreuil, Adrian Valente, et al.
Neural Computation (2021) Vol. 33, Iss. 6, pp. 1572-1615
Open Access | Times Cited: 67
Computational role of structure in neural activity and connectivity
Srdjan Ostojic, Stefano Fusi
Trends in Cognitive Sciences (2024) Vol. 28, Iss. 7, pp. 677-690
Open Access | Times Cited: 10
Bridging large-scale neuronal recordings and large-scale network models using dimensionality reduction
Ryan C. Williamson, Brent Doiron, Matthew A. Smith, et al.
Current Opinion in Neurobiology (2019) Vol. 55, pp. 40-47
Open Access | Times Cited: 64
Models that learn how humans learn: The case of decision-making and its disorders
Amir Dezfouli, Kristi R. Griffiths, Fábio Ramos, et al.
PLoS Computational Biology (2019) Vol. 15, Iss. 6, pp. e1006903-e1006903
Open Access | Times Cited: 56
Inferring brain-wide interactions using data-constrained recurrent neural network models
Matthew G. Perich, Charlotte Arlt, Sofia Soares, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 50
Neural manifold under plasticity in a goal driven learning behaviour
Barbara Feulner, Claudia Clopath
PLoS Computational Biology (2021) Vol. 17, Iss. 2, pp. e1008621-e1008621
Open Access | Times Cited: 48
Dynamics on the manifold: Identifying computational dynamical activity from neural population recordings
Lea Duncker, Maneesh Sahani
Current Opinion in Neurobiology (2021) Vol. 70, pp. 163-170
Open Access | Times Cited: 44
Early selection of task-relevant features through population gating
João Barbosa, Rémi Proville, Chris C. Rodgers, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 21
Fronto-parietal networks shape human conscious report through attention gain and reorienting
Jianghao Liu, Dimitri J. Bayle, Alfredo Spagna, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 18
Trained recurrent neural networks develop phase-locked limit cycles in a working memory task
Matthijs Pals, Jakob H. Macke, Omri Barak
PLoS Computational Biology (2024) Vol. 20, Iss. 2, pp. e1011852-e1011852
Open Access | Times Cited: 8
Approximating Nonlinear Functions With Latent Boundaries in Low-Rank Excitatory-Inhibitory Spiking Networks
William F. Podlaski, Christian K. Machens
Neural Computation (2024) Vol. 36, Iss. 5, pp. 803-857
Open Access | Times Cited: 8
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