
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:
Recurrent predictive coding models for associative memory employing covariance learning
Mufeng Tang, Tommaso Salvatori, Beren Millidge, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 4, pp. e1010719-e1010719
Open Access | Times Cited: 16
Mufeng Tang, Tommaso Salvatori, Beren Millidge, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 4, pp. e1010719-e1010719
Open Access | Times Cited: 16
Showing 16 citing articles:
Predictive coding networks for temporal prediction
Beren Millidge, Mufeng Tang, Mahyar Osanlouy, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 4, pp. e1011183-e1011183
Open Access | Times Cited: 9
Beren Millidge, Mufeng Tang, Mahyar Osanlouy, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 4, pp. e1011183-e1011183
Open Access | Times Cited: 9
PrediRep: Modelling hierarchical predictive coding with an unsupervised deep learning network
Ibrahim C. Hashim, Mario Senden, Rainer Goebel
Neural Networks (2025) Vol. 185, pp. 107246-107246
Open Access
Ibrahim C. Hashim, Mario Senden, Rainer Goebel
Neural Networks (2025) Vol. 185, pp. 107246-107246
Open Access
Towards a Biologically Plausible SNN-based Associative Memory with Context Dependent Hebbian Connectivity
Sergey Makovkin, Susanna Gordleeva, Innokentiy Kastalskiy
International Journal of Neural Systems (2025)
Closed Access
Sergey Makovkin, Susanna Gordleeva, Innokentiy Kastalskiy
International Journal of Neural Systems (2025)
Closed Access
Basics of Theoretical Neuroscience
Anil P. Dewani, Deepak Mohale, Alok Shiomurti Tripathi, et al.
(2025), pp. 67-86
Closed Access
Anil P. Dewani, Deepak Mohale, Alok Shiomurti Tripathi, et al.
(2025), pp. 67-86
Closed Access
A Review of Neuroscience-Inspired Machine Learning
Alexander G. Ororbia, Ankur Mali, Adam Kohan, et al.
(2024)
Open Access | Times Cited: 3
Alexander G. Ororbia, Ankur Mali, Adam Kohan, et al.
(2024)
Open Access | Times Cited: 3
Competitive learning to generate sparse representations for associative memory
Luis Sa-Couto, Andreas Wichert
Neural Networks (2023) Vol. 168, pp. 32-43
Open Access | Times Cited: 8
Luis Sa-Couto, Andreas Wichert
Neural Networks (2023) Vol. 168, pp. 32-43
Open Access | Times Cited: 8
Learning probability distributions of sensory inputs with Monte Carlo Predictive Coding
Gaspard Oliviers, Rafał Bogacz, Alexander Meulemans
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Gaspard Oliviers, Rafał Bogacz, Alexander Meulemans
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Predictive Coding Networks for Temporal Prediction
Beren Millidge, Mufeng Tang, Mahyar Osanlouy, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Beren Millidge, Mufeng Tang, Mahyar Osanlouy, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Learning on Arbitrary Graph Topologies via Predictive Coding.
Tommaso Salvatori, Luca Pinchetti, Beren Millidge, et al.
PubMed (2022) Vol. 35, pp. 38232-38244
Closed Access | Times Cited: 10
Tommaso Salvatori, Luca Pinchetti, Beren Millidge, et al.
PubMed (2022) Vol. 35, pp. 38232-38244
Closed Access | Times Cited: 10
Sequential Memory with Temporal Predictive Coding
Mufeng Tang, Helen C. Barron, Rafał Bogacz
arXiv (Cornell University) (2023)
Open Access | Times Cited: 5
Mufeng Tang, Helen C. Barron, Rafał Bogacz
arXiv (Cornell University) (2023)
Open Access | Times Cited: 5
A sparse quantized hopfield network for online-continual memory
Nicholas Alonso, Jeffrey L. Krichmar
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Nicholas Alonso, Jeffrey L. Krichmar
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
PrediRep: Modelling hierarchical predictive coding with an unsupervised deep learning network
Ibrahim Che Hashim, Mario Senden, Rainer Goebel
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Ibrahim Che Hashim, Mario Senden, Rainer Goebel
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Spiking representation learning for associative memories
Naresh Balaji Ravichandran, Anders Lansner, Pawel Herman
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Naresh Balaji Ravichandran, Anders Lansner, Pawel Herman
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Learning probability distributions of sensory inputs with Monte Carlo predictive coding
Gaspard Oliviers, Rafał Bogacz, Alexander Meulemans
PLoS Computational Biology (2024) Vol. 20, Iss. 10, pp. e1012532-e1012532
Open Access | Times Cited: 1
Gaspard Oliviers, Rafał Bogacz, Alexander Meulemans
PLoS Computational Biology (2024) Vol. 20, Iss. 10, pp. e1012532-e1012532
Open Access | Times Cited: 1
The hierarchical predictive coding framework of post-traumatic stress disorder
Zachary P. Pierce, Jessica M. Black
Medical Hypotheses (2024) Vol. 188, pp. 111365-111365
Closed Access
Zachary P. Pierce, Jessica M. Black
Medical Hypotheses (2024) Vol. 188, pp. 111365-111365
Closed Access
Predictive processing in neuroscience, computational modeling and psychology
Matthias Brucklacher, Kwangjun Lee, Giulia Moreni, et al.
Elsevier eBooks (2024), pp. 645-667
Closed Access
Matthias Brucklacher, Kwangjun Lee, Giulia Moreni, et al.
Elsevier eBooks (2024), pp. 645-667
Closed Access
STDP-based Associative Memory Model on Spiking Neural Networks
Wenwu Jiang, Lei Wang, Lang Qin, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 33, pp. 1-8
Closed Access
Wenwu Jiang, Lei Wang, Lang Qin, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 33, pp. 1-8
Closed Access
Learning predictive signals within a local recurrent circuit
Toshitake Asabuki, Colleen J. Gillon, Claudia Clopath
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Toshitake Asabuki, Colleen J. Gillon, Claudia Clopath
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1