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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:

Building population models for large-scale neural recordings: Opportunities and pitfalls
Cole Hurwitz, Nina Kudryashova, Arno Onken, et al.
Current Opinion in Neurobiology (2021) Vol. 70, pp. 64-73
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Natural behavior is the language of the brain
Cory T. Miller, David H. Gire, Kim L. Hoke, et al.
Current Biology (2022) Vol. 32, Iss. 10, pp. R482-R493
Open Access | Times Cited: 117
Two-photon calcium imaging of neuronal activity
Christine Grienberger, Andrea Giovannucci, William Zeiger, et al.
Nature Reviews Methods Primers (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 77
Macroscopic resting-state brain dynamics are best described by linear models
Erfan Nozari, Maxwell A. Bertolero, Jennifer Stiso, et al.
Nature Biomedical Engineering (2023) Vol. 8, Iss. 1, pp. 68-84
Open Access | Times Cited: 66
A multi-demand operating system underlying diverse cognitive tasks
Weidong Cai, Jalil Taghia, Vinod Menon
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Brain–computer interfaces for neuropsychiatric disorders
Lucine L. Oganesian, Maryam M. Shanechi
Nature Reviews Bioengineering (2024) Vol. 2, Iss. 8, pp. 653-670
Closed Access | Times Cited: 5
Decoding the brain: From neural representations to mechanistic models
Mackenzie Weygandt Mathis, Adriana Perez Rotondo, Edward F. Chang, et al.
Cell (2024) Vol. 187, Iss. 21, pp. 5814-5832
Open Access | Times Cited: 5
Exploring the Suitability of Piecewise-Linear Dynamical System Models for Cognitive Neural Dynamics
Jiemin Wu, Boateng Asamoah, Zhaodan Kong, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
BAND: Behavior-Aligned Neural Dynamics is all you need to capture motor corrections
Nina Kudryashova, Cole Hurwitz, Matthew G. Perich, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
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
Why the simplest explanation isn’t always the best
Eva L. Dyer, Konrad P. Körding
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 52
Open Access | Times Cited: 12
Neuronal travelling waves explain rotational dynamics in experimental datasets and modelling
Ekaterina Kuzmina, Dmitrii Kriukov, Mikhail Lebedev
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
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
From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings
Réka-Barbara Bod, János Rokai, Domokos Meszéna, et al.
Frontiers in Neuroinformatics (2022) Vol. 16
Open Access | Times Cited: 10
Targeted Neural Dynamical Modeling
Cole Hurwitz, Akash Srivastava, Kai Xu, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 12
Modeling the diverse effects of divisive normalization on noise correlations
Oren Weiss, Hayley A. Bounds, Hillel Adesnik, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 11, pp. e1011667-e1011667
Open Access | Times Cited: 4
Expressive architectures enhance interpretability of dynamics-based neural population models
Andrew R. Sedler, Christopher Versteeg, Chethan Pandarinath
Neurons Behavior Data analysis and Theory (2023)
Open Access | Times Cited: 3
Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships
Nina Kudryashova, Theoklitos Amvrosiadis, Nathalie Dupuy, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 1, pp. e1009799-e1009799
Open Access | Times Cited: 5
Assessing Ambiguity Of Spike Detection By Thresholding
Anubhav Rakshit, Şükrü Okkesi̇m, Ulrich Hofmann
(2023), pp. 1-4
Closed Access | Times Cited: 2
The sloppy relationship between neural circuit structure and function
Matthias H. Hennig
The Journal of Physiology (2022) Vol. 601, Iss. 15, pp. 3025-3035
Open Access | Times Cited: 3
Towards robust and generalizable representations of extracellular data using contrastive learning
Ankit Vishnubhotla, Charlotte Loh, Liam Paninski, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Modeling the Diverse Effects of Divisive Normalization on Noise Correlations
Oren Weiss, Hayley A. Bounds, Hillel Adesnik, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Mixed vine copula flows for flexible modeling of neural dependencies
Lazaros Mitskopoulos, Theoklitos Amvrosiadis, Arno Onken
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 2
Representation Learning for Dynamic Functional Connectivities via Variational Dynamic Graph Latent Variable Models
Yicong Huang, Zhuliang Yu
Entropy (2022) Vol. 24, Iss. 2, pp. 152-152
Open Access | Times Cited: 1
Associating Latent Representations With Cognitive Maps via Hyperspherical Space for Neural Population Spikes
Yicong Huang, Zhu Liang Yu
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 2886-2895
Open Access | Times Cited: 1
Discovering Low-Dimensional Descriptions of Multineuronal Dependencies
Lazaros Mitskopoulos, Arno Onken
Entropy (2023) Vol. 25, Iss. 7, pp. 1026-1026
Open Access
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