Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Identifying signal and noise structure in neural population activity with Gaussian process factor models
Stephen Keeley, Mikio Aoi, Yiyi Yu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 12

Showing 12 citing articles:

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
Modeling statistical dependencies in multi-region spike train data
Stephen Keeley, David M. Zoltowski, Mikio Aoi, et al.
Current Opinion in Neurobiology (2020) Vol. 65, pp. 194-202
Open Access | Times Cited: 45
Disentangling signal and noise in neural responses through generative modeling
Kendrick Kay, Jacob S. Prince, Thomas Gebhart, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Unsupervised approach to decomposing neural tuning variability
Rong Zhu, Xue-Xin Wei
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Direct extraction of signal and noise correlations from two-photon calcium imaging of ensemble neuronal activity
Anuththara Rupasinghe, Nikolas A. Francis, Ji Liu, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 19
Population burst propagation across interacting areas of the brain
Yu Chen, Hannah Douglas, Bryan Medina, et al.
Journal of Neurophysiology (2022) Vol. 128, Iss. 6, pp. 1578-1592
Open Access | Times Cited: 7
Time-varying generalized linear models: characterizing and decoding neuronal dynamics in higher visual areas
Geyu Weng, Kelsey Clark, Amir Akbarian, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
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
A flow-based latent state generative model of neural population responses to natural images
Mohammad Bashiri, Edgar Y. Walker, Konstantin-Klemens Lurz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 5
Bayesian Gaussian process factor analysis with copula for count data
Gregor Pirš, Erik Štrumbelj
Expert Systems with Applications (2022) Vol. 197, pp. 116645-116645
Closed Access
Unsupervised approach to decomposing neural tuning variability
Rong Zhu, Xue-Xin Wei
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
Modeling communication and switching nonlinear dynamics in multi-region neural activity
Orren Karniol-Tambour, David M. Zoltowski, E. Mika Diamanti, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
Page 1

Scroll to top