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:
Bio-inspired, task-free continual learning through activity regularization
Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, et al.
Biological Cybernetics (2023) Vol. 117, Iss. 4-5, pp. 345-361
Open Access | Times Cited: 6
Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, et al.
Biological Cybernetics (2023) Vol. 117, Iss. 4-5, pp. 345-361
Open Access | Times Cited: 6
Showing 6 citing articles:
Predictive Coding algorithms induce brain-like responses in Artificial Neural Networks
Dirk Christoph Gütlin, Ryszard Auksztulewicz
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Dirk Christoph Gütlin, Ryszard Auksztulewicz
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Rehearsal-free continual few-shot relation extraction via contrastive weighted prompts
Fengqin Yang, Mingrong Ren, Desheng Kong, et al.
Neurocomputing (2025), pp. 129741-129741
Closed Access
Fengqin Yang, Mingrong Ren, Desheng Kong, et al.
Neurocomputing (2025), pp. 129741-129741
Closed Access
A general framework for interpretable neural learning based on local information-theoretic goal functions
Abdullah Makkeh, Marcel Graetz, Andreas C. Schneider, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 10
Open Access
Abdullah Makkeh, Marcel Graetz, Andreas C. Schneider, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 10
Open Access
Target Learning rather than Backpropagation Explains Learning in the Mammalian Neocortex
Pau Vilimelis Aceituno, Sander de Haan, Reinhard Loidl, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Pau Vilimelis Aceituno, Sander de Haan, Reinhard Loidl, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Continual Developmental Neurosimulation Using Embodied Computational Agents
Bradly Alicea, Rishabh Chakrabarty, Stefan Dvoretskii, et al.
IOP Conference Series Materials Science and Engineering (2024) Vol. 1321, Iss. 1, pp. 012013-012013
Open Access
Bradly Alicea, Rishabh Chakrabarty, Stefan Dvoretskii, et al.
IOP Conference Series Materials Science and Engineering (2024) Vol. 1321, Iss. 1, pp. 012013-012013
Open Access
What can computer vision learn from visual neuroscience? Introduction to the special issue
Kexin Chen, Hirak J. Kashyap, Jeffrey L. Krichmar, et al.
Biological Cybernetics (2023) Vol. 117, Iss. 4-5, pp. 297-298
Open Access | Times Cited: 1
Kexin Chen, Hirak J. Kashyap, Jeffrey L. Krichmar, et al.
Biological Cybernetics (2023) Vol. 117, Iss. 4-5, pp. 297-298
Open Access | Times Cited: 1
