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:

Representation learning for neural population activity with Neural Data Transformers
Joel Ye, Chethan Pandarinath
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 12

Showing 12 citing articles:

Exploring Convolutional Neural Network Architectures for EEG Feature Extraction
Ildar Rakhmatulin, Minh-Son Dao, Amir Nassibi, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 877-877
Open Access | Times Cited: 22
Brain control of bimanual movement enabled by recurrent neural networks
Darrel R. Deo, Francis R. Willett, Donald T. Avansino, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 21
Large-scale foundation models and generative AI for BigData neuroscience
Ran Wang, Zhe Chen
Neuroscience Research (2024)
Open Access | Times Cited: 4
An emerging view of neural geometry in motor cortex supports high-performance decoding
Sean M. Perkins, Elom A Amematsro, John P. Cunningham, et al.
eLife (2025) Vol. 12
Open Access
Balancing Memorization and Generalization in RNNs for High Performance Brain-Machine Interfaces
Joseph T. Costello, Hisham Temmar, Luis H. Cubillos, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 9
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data
Marine Schimel, Ta-Chu Kao, Kristopher T. Jensen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 18
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Ran Liu, Mehdi Azabou, Max Dabagia, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 11
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Ran Liu, Mehdi Azabou, Max Dabagia, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 10
Dynamical flexible inference of nonlinear latent structures in neural population activity
Hamidreza Abbaspourazad, Eray Erturk, Bijan Pesaran, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers
Ran Liu, Mehdi Azabou, Max Dabagia, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
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
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
Zhu Feng, Andrew R. Sedler, Harrison A. Grier, et al.
arXiv (Cornell University) (2021)
Open Access
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