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:
Encoding innate ability through a genomic bottleneck
Sergey A. Shuvaev, Divyansha Lachi, Alexei A. Koulakov, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 38
Open Access | Times Cited: 9
Sergey A. Shuvaev, Divyansha Lachi, Alexei A. Koulakov, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 38
Open Access | Times Cited: 9
Showing 9 citing articles:
Catalyzing next-generation Artificial Intelligence through NeuroAI
Anthony M. Zador, G. Sean Escola, Blake A. Richards, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 170
Anthony M. Zador, G. Sean Escola, Blake A. Richards, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 170
Neuroscience Needs Network Science
Dániel L. Barabási, Ginestra Bianconi, Edward T. Bullmore, et al.
Journal of Neuroscience (2023) Vol. 43, Iss. 34, pp. 5989-5995
Open Access | Times Cited: 56
Dániel L. Barabási, Ginestra Bianconi, Edward T. Bullmore, et al.
Journal of Neuroscience (2023) Vol. 43, Iss. 34, pp. 5989-5995
Open Access | Times Cited: 56
Functional neuronal circuits emerge in the absence of developmental activity
Dániel L. Barabási, Gregor F. P. Schuhknecht, Florian Engert
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 14
Dániel L. Barabási, Gregor F. P. Schuhknecht, Florian Engert
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 14
Complex computation from developmental priors
Dániel L. Barabási, Taliesin Beynon, Ádám Katona, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 14
Dániel L. Barabási, Taliesin Beynon, Ádám Katona, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 14
The Genomic Code: the genome instantiates a generative model of the organism
Kevin J. Mitchell, Nick Cheney
Trends in Genetics (2025)
Open Access
Kevin J. Mitchell, Nick Cheney
Trends in Genetics (2025)
Open Access
Compression-based inference of network motif sets
Alexis Bénichou, Jean‐Baptiste Masson, Christian L. Vestergaard
PLoS Computational Biology (2024) Vol. 20, Iss. 10, pp. e1012460-e1012460
Open Access | Times Cited: 1
Alexis Bénichou, Jean‐Baptiste Masson, Christian L. Vestergaard
PLoS Computational Biology (2024) Vol. 20, Iss. 10, pp. e1012460-e1012460
Open Access | Times Cited: 1
Training spiking neuronal networks to perform motor control using reinforcement and evolutionary learning
Daniel Haşegan, Matt Deible, Christopher Earl, et al.
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 6
Daniel Haşegan, Matt Deible, Christopher Earl, et al.
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 6
What the brain can teach artificial neural networks
Anthony M. Zador
The Transmitter (2024)
Closed Access
Anthony M. Zador
The Transmitter (2024)
Closed Access
Control of innate olfactory valence by segregated cortical amygdala circuits
J.R. Howe, Chung-Lung Chan, Donghyung Lee, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
J.R. Howe, Chung-Lung Chan, Donghyung Lee, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
