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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:

A large-scale neural network training framework for generalized estimation of single-trial population dynamics
Mohammad Reza Keshtkaran, Andrew R. Sedler, Raeed H. Chowdhury, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 22

Showing 22 citing articles:

Multiregion neuronal activity: the forest and the trees
Timothy A. Machado, Isaac Kauvar, Karl Deisseroth
Nature reviews. Neuroscience (2022) Vol. 23, Iss. 11, pp. 683-704
Open Access | Times Cited: 38
BRAND: a platform for closed-loop experiments with deep network models
Yahia H Ali, Kevin Bodkin, Mattia Rigotti-Thompson, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 2, pp. 026046-026046
Open Access | Times Cited: 7
Long-term stability of single neuron activity in the motor system
Kristopher T. Jensen, Naama Kadmon Harpaz, Ashesh K. Dhawale, et al.
Nature Neuroscience (2022) Vol. 25, Iss. 12, pp. 1664-1674
Open Access | Times Cited: 34
Stabilizing brain-computer interfaces through alignment of latent dynamics
Brianna M. Karpowicz, Yahia H Ali, Lahiru N. Wimalasena, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 31
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity
Felix Pei, Joel Ye, David L. Zoltowski, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 27
Estimating muscle activation from EMG using deep learning-based dynamical systems models
Lahiru N. Wimalasena, Jonas Braun, Mohammad Reza Keshtkaran, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 3, pp. 036013-036013
Open Access | Times Cited: 18
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data
Marine Schimel, Ta-Chu Kao, Kristopher T. Jensen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 18
Representation learning for neural population activity with Neural Data Transformers
Joel Ye, Chethan Pandarinath
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 12
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Ran Liu, Mehdi Azabou, Max Dabagia, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 11
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Ran Liu, Mehdi Azabou, Max Dabagia, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 10
M1 dynamics share similar inputs for initiating and correcting movement
Peter J. Malonis, Nicholas G. Hatsopoulos, Jason N. MacLean, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 9
Modeling and dissociation of intrinsic and input-driven neural population dynamics underlying behavior
Parsa Vahidi, Omid G. Sani, Maryam M. Shanechi
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Dynamical flexible inference of nonlinear latent structures in neural population activity
Hamidreza Abbaspourazad, Eray Erturk, Bijan Pesaran, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models
Kristopher T. Jensen, Ta-Chu Kao, Jasmine T. Stone, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 8
Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations
Timothy Kim, Thomas Zhihao Luo, Jonathan W. Pillow, et al.
International Conference on Machine Learning (2021), pp. 5551-5561
Closed Access | Times Cited: 6
Long-term stability of single neuron activity in the motor system
Kristopher T. Jensen, Naama Kadmon Harpaz, Ashesh K. Dhawale, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 5
Numerical Investigation and Factor Analysis of the Spatial-Temporal Multi-Species Competition Problem
Maria Vasilyeva, Youwen Wang, Sergei Stepanov, et al.
WSEAS TRANSACTIONS ON MATHEMATICS (2022) Vol. 21, pp. 731-755
Open Access | Times Cited: 3
BRAND: A platform for closed-loop experiments with deep network models
Yahia H Ali, Kevin Bodkin, Mattia Rigotti-Thompson, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with sub-frame temporal resolution
Zhu Feng, Harrison A. Grier, Raghav Tandon, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 3
Estimating muscle activation from EMG using deep learning-based dynamical systems models
Lahiru N. Wimalasena, Jonas Braun, Mohammad Reza Keshtkaran, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
Inference of Multiplicative Factors Underlying Neural Variability in Calcium Imaging Data
Marcus A. Triplett, Geoffrey J. Goodhill
Neural Computation (2022) Vol. 34, Iss. 5, pp. 1143-1169
Closed Access
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
Zhu Feng, Andrew R. Sedler, Harrison A. Grier, et al.
arXiv (Cornell University) (2021)
Open Access
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