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:

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

Showing 1-25 of 64 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

Computational Neuroethology: A Call to Action
Sandeep Robert Datta, David J. Anderson, Kristin Branson, et al.
Neuron (2019) Vol. 104, Iss. 1, pp. 11-24
Open Access | Times Cited: 392

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: 255

The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks
Friedemann Zenke, Tim P. Vogels
Neural Computation (2021) Vol. 33, Iss. 4, pp. 899-925
Open Access | Times Cited: 156

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

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: 36

Review of bio-optical imaging systems with a high space-bandwidth product
Jongchan Park, David J. Brady, Guoan Zheng, et al.
Advanced Photonics (2021) Vol. 3, Iss. 04
Open Access | Times Cited: 98

Characterizing Cortex-Wide Dynamics with Wide-Field Calcium Imaging
Chi Ren, Takaki Komiyama
Journal of Neuroscience (2021) Vol. 41, Iss. 19, pp. 4160-4168
Open Access | Times Cited: 85

Sequential and efficient neural-population coding of complex task information
Sue Ann Koay, Adam S. Charles, Stephan Y. Thiberge, et al.
Neuron (2021) Vol. 110, Iss. 2, pp. 328-349.e11
Open Access | Times Cited: 63

Estimating the dimensionality of the manifold underlying multi-electrode neural recordings
Ege Altan, Sara A. Solla, Lee E. Miller, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 11, pp. e1008591-e1008591
Open Access | Times Cited: 62

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

Discovering the Computational Relevance of Brain Network Organization
Takuya Ito, Luke J. Hearne, Ravi D. Mill, et al.
Trends in Cognitive Sciences (2019) Vol. 24, Iss. 1, pp. 25-38
Open Access | Times Cited: 69

The dynamical renaissance in neuroscience
Luis H. Favela
Synthese (2020) Vol. 199, Iss. 1-2, pp. 2103-2127
Open Access | Times Cited: 45

Secure medical data on cloud storage via DNA homomorphic encryption technique
Qiong Liu, Feng Zhou, Han Chen
Physical Communication (2024) Vol. 64, pp. 102295-102295
Closed Access | Times Cited: 4

Uncertainties in signal recovery from heterogeneous and convoluted time series with principal component analysis
Mariia Legenkaia, Laurent Bourdieu, Rémi Monasson
Physical review. E (2025) Vol. 111, Iss. 4
Open Access

Harnessing the potential of human induced pluripotent stem cells, functional assays and machine learning for neurodevelopmental disorders
Ziqin Yang, Nicole A. Teaney, Elizabeth D. Buttermore, et al.
Frontiers in Neuroscience (2025) Vol. 18
Open Access

The quest for interpretable models of neural population activity
Matthew R Whiteway, Daniel A. Butts
Current Opinion in Neurobiology (2019) Vol. 58, pp. 86-93
Open Access | Times Cited: 35

Moving beyond generalization to accurate interpretation of flexible models
Mikhail Genkin, Tatiana A. Engel
Nature Machine Intelligence (2020) Vol. 2, Iss. 11, pp. 674-683
Open Access | Times Cited: 28

Big data dimensionality reduction techniques in IoT: review, applications and open research challenges
Ridhima Rani, Meenu Khurana, Ajay Kumar, et al.
Cluster Computing (2022) Vol. 25, Iss. 6, pp. 4027-4049
Closed Access | Times Cited: 17

Identifying Interpretable Latent Factors with Sparse Component Analysis
Andrew J. Zimnik, K. Cora Ames, Xinyue An, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3

Decoding and encoding (de)mixed population responses
Sander W. Keemink, Christian K. Machens
Current Opinion in Neurobiology (2019) Vol. 58, pp. 112-121
Closed Access | Times Cited: 28

Foundations of human spatial problem solving
Noah Zarr, Joshua W. Brown
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8

Neural subspaces of imagined movements in parietal cortex remain stable over several years in humans
Luke Bashford, Isabelle A. Rosenthal, Spencer Kellis, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 4, pp. 046059-046059
Open Access | Times Cited: 3

Aligning latent representations of neural activity
Max Dabagia, Konrad P. Körding, Eva L. Dyer
Nature Biomedical Engineering (2022) Vol. 7, Iss. 4, pp. 337-343
Closed Access | Times Cited: 13

Testing methods of neural systems understanding
Grace W. Lindsay, David Bau
Cognitive Systems Research (2023) Vol. 82, pp. 101156-101156
Open Access | Times Cited: 6

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