Open Access Helper

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:

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

Showing 26-50 of 44 citing articles:

Flow-field inference from neural data using deep recurrent networks
Timothy Doyeon Kim, Thomas Zhihao Luo, Tankut Can, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Association between different sensory modalities based on concurrent time series data obtained by a collaborative reservoir computing model
Itsuki Kanemura, Katsunori Kitano
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Practice Reshapes the Geometry and Dynamics of Task-tailored Representations
Atsushi Kikumoto, Kazuhisa Shibata, Takahiro Nishio, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Physiological Needs: Sensations and Predictions in the Insular Cortex
Yael Prilutski, Yoav Livneh
Physiology (2022) Vol. 38, Iss. 2, pp. 73-81
Closed Access | Times Cited: 7
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
The Controllosphere: The Neural Origin of Cognitive Effort
Clay B. Holroyd
(2023)
Open Access | Times Cited: 2
Bayesian multilevel hidden Markov models identify stable state dynamics in longitudinal recordings from macaque primary motor cortex
Sebastien Kirchherr, Sebastian Mildiner Moraga, Gino Coudé, et al.
European Journal of Neuroscience (2023) Vol. 58, Iss. 3, pp. 2787-2806
Open Access | Times Cited: 2
Identification of interacting neural populations: methods and statistical considerations
Robert E. Kass, Heejong Bong, Motolani Olarinre, et al.
Journal of Neurophysiology (2023) Vol. 130, Iss. 3, pp. 475-496
Open Access | Times Cited: 2
Probing learning through the lens of changes in circuit dynamics
Owen Marschall, Cristina Savin
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Efficient coding of natural images in the mouse visual cortex
Federico Bolaños, Javier G. Orlandi, Ryo Aoki, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
A doubly stochastic renewal framework for partitioning spiking variability
Cina Aghamohammadi, Chandramouli Chandrasekaran, Tatiana A. Engel
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Identification of Recurrent Dynamics in Distributed Neural Populations
Rodrigo Osuna-Orozco, Edward Castillo, Kameron Decker Harris, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Deep manifold learning for the reconstruction of spatiotemporal neural activity in brain cortex using electroencephalography signals
Lingyun Wu, Hu Zhi, Jing Liu, et al.
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107335-107335
Closed Access
Interpretable statistical representations of neural population dynamics and geometry
Robert L. Peach, Alexis Arnaudon, Mauricio Barahona, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Evaluation of abstract rule-based associations in the human premotor cortex during passive observation
Niloofar Gharesi, Lucie Luneau, John Kalaska, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity.
Christopher Versteeg, Andrew R. Sedler, Jonathan McCart, et al.
PubMed (2023)
Closed Access | Times Cited: 1
Recurrent Neural Networks as Electrical Networks, a Formalization
M. Caruso, C. Jarne
Lecture notes in networks and systems (2023), pp. 105-114
Closed Access
Attempt to an Analysis of the biological neural system algorithm of human body induced earthquake precursors
Cao da
(2022)
Open Access
Attemp of an Analysis of Human Biological Neural Algorithm for Sensing Earthquake Precursors
Cao da
(2022)
Open Access
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