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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:

Hierarchical recurrent state space models reveal discrete and continuous dynamics of neural activity inC. elegans
Scott W. Linderman, Annika L.A. Nichols, David M. Blei, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 66

Showing 26-50 of 66 citing articles:

Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations
Joshua I. Glaser, Matthew R Whiteway, John P. Cunningham, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 29
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics
William Qian, Jacob A. Zavatone-Veth, Benjamin S. Ruben, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Measuring and modeling whole-brain neural dynamics in Caenorhabditis elegans
Francesco Randi, Andrew M. Leifer
Current Opinion in Neurobiology (2020) Vol. 65, pp. 167-175
Open Access | Times Cited: 24
A general recurrent state space framework for modeling neural dynamics during decision-making
David M. Zoltowski, Jonathan W. Pillow, Scott W. Linderman
(2020) Vol. 1, pp. 11680-11691
Closed Access | Times Cited: 17
Nonlinear Control in the Nematode C. elegans
Megan Morrison, Charles Fieseler, J. Nathan Kutz
Frontiers in Computational Neuroscience (2021) Vol. 14
Open Access | Times Cited: 12
Probabilistic Models of Larval Zebrafish Behavior: Structure on Many Scales
Robert E. Johnson, Scott W. Linderman, Thomas Panier, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 13
Metastable attractors explain the variable timing of stable behavioral action sequences
Stefano Recanatesi, Ulises Pereira, Masayoshi Murakami, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 12
Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems
Aditi Jha, Diksha Gupta, Carlos D. Brody, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 1
Linking Brain and Behavior States in Zebrafish Larvae Locomotion using Hidden Markov Models
Mattéo Dommanget-Kott, Jorge Fernández‐de‐Cossio, Monica Coraggioso, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
What The Brain Does As We Speak
Kiefer J. Forseth, Xaq Pitkow, Simon Fischer‐Baum, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 10
WormTensor: a clustering method for time-series whole-brain activity data from C. elegans
Koki Tsuyuzaki, Kentaro Yamamoto, Yu Toyoshima, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Natural sensory context drives diverse brain-wide activity during C. elegans mating
Vladislav Susoy, Wesley Hung, Daniel Witvliet, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 8
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings.
Heejong Bong, Zongge Liu, Zhao Ren, et al.
PubMed (2020) Vol. 33, pp. 16446-16456
Closed Access | Times Cited: 8
An approximate line attractor in the hypothalamus that encodes an aggressive internal state
Aditya Nair, Tomomi Karigo, Bin Yang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 4
Nonlinear control in the nematode C. elegans
Megan Morrison, Charles Fieseler, J. Nathan Kutz
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 4
Overcoming the Domain Gap in Neural Action Representations
Semih Günel, Florian Aymanns, Sina Honari, et al.
International Journal of Computer Vision (2022) Vol. 131, Iss. 3, pp. 813-833
Open Access | Times Cited: 3
Mixture of Learning Strategies Underlies Rodent Behavior in Dynamic Foraging
Nhat Minh Le, Murat Yıldırım, Yizhi Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
Decomposed Linear Dynamical Systems (dLDS) models reveal context-dependent dynamic connectivity in C. elegans
Eva Yezerets, Noga Mudrik, Adam S. Charles
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Introduction to latent variable energy-based models: a path toward autonomous machine intelligence
Anna Dawid, Yann LeCun
Journal of Statistical Mechanics Theory and Experiment (2024) Vol. 2024, Iss. 10, pp. 104011-104011
Open Access
Brain dynamics and spatiotemporal trajectories during threat processing
Joyneel Misra, Luiz Pessoa
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Active reconfiguration of neural task states
Harrison Ritz, Aditi Jha, Jonathan W. Pillow, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
The Agoutis: A Future Model for Ecologically Relevant Neuroscience and Physiology In Natura
Juan Ignacio Sanguinetti-Scheck, D. Gálvez
Ethology (2024) Vol. 130, Iss. 12
Open Access
Capturing the Continuous Complexity of Behavior inC. elegans
Tosif Ahamed, Antonio Carlos Costa, Greg J. Stephens
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 3
Information Optimization and Transferable State Abstractions in Deep Reinforcement Learning
Diego Gomez, Nicanor Quijano, Luis Felipe Giraldo
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-12
Closed Access | Times Cited: 2
Capturing the Continuous Complexity of Behavior in C. elegans
Tosif Ahamed, Antonio Carlos Costa, Greg J. Stephens
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 2

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