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:

Systematic perturbation of an artificial neural network: A step towards quantifying causal contributions in the brain
Kayson Fakhar, Claus C. Hilgetag
PLoS Computational Biology (2022) Vol. 18, Iss. 6, pp. e1010250-e1010250
Open Access | Times Cited: 16

Showing 16 citing articles:

Information decomposition and the informational architecture of the brain
Andrea I. Luppi, Fernando E. Rosas, Pedro A. M. Mediano, et al.
Trends in Cognitive Sciences (2024) Vol. 28, Iss. 4, pp. 352-368
Open Access | Times Cited: 56
The Entangled Brain
Luiz Pessoa
Journal of Cognitive Neuroscience (2022) Vol. 35, Iss. 3, pp. 349-360
Open Access | Times Cited: 51
Downstream network transformations dissociate neural activity from causal functional contributions
Kayson Fakhar, Shrey Dixit, Fatemeh Hadaeghi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
A new approach for estimating effective connectivity from activity in neural networks
Niklas Laasch, Wilhelm Braun, Lisa Knoff, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 5
Dynamics of specialization in neural modules under resource constraints
Gabriel Béna, Dan F. M. Goodman
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Comparison of derivative-based and correlation-based methods to estimate effective connectivity in neural networks
Niklas Laasch, Wilhelm Braun, Lisa Knoff, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A General Framework for Characterizing Optimal Communication in Brain Networks
Kayson Fakhar, Fatemeh Hadaeghi, Caio Seguin, et al.
(2025)
Open Access
Hybrid Neural Networks for Volitional Movement
Hongwei Mao, Brady A Hasse, Andrew B. Schwartz
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Causal Influences Decouple From Their Underlying Network Structure In Echo State Networks
Kayson Fakhar, Fatemeh Hadaeghi, Claus C. Hilgetag
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-8
Open Access | Times Cited: 8
General relationship of local topologies, global dynamics, and bifurcation in cellular networks
Qing Hu, Ruoyu Tang, Xinyu He, et al.
npj Systems Biology and Applications (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
A General Framework for Characterizing Optimal Communication in Brain Networks
Kayson Fakhar, Fatemeh Hadaeghi, Caio Seguin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Nonlinear fusion is optimal for a wide class of multisensory tasks
Marcus Ghosh, Gabriel Béna, Volker Bormuth, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 7, pp. e1012246-e1012246
Open Access
A General Framework for Characterizing Optimal Communication in Brain Networks
Kayson Fakhar, Fatemeh Hadaeghi, Caio Seguin, et al.
(2024)
Open Access
A General Framework for Characterizing Optimal Communication in Brain Networks
Kayson Fakhar, Fatemeh Hadaeghi, Caio Seguin, et al.
(2024)
Open Access
When Neural Activity Fails to Reveal Causal Contributions
Kayson Fakhar, Shrey Dixit, Fatemeh Hadaeghi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Nonlinear fusion is optimal for a wide class of multisensory tasks
Marcus Ghosh, Gabriel Béna, Volker Bormuth, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Page 1

Scroll to top