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:

Microscopic theory of intrinsic timescales in spiking neural networks
Alexander van Meegen, Sacha J. van Albada
Physical Review Research (2021) Vol. 3, Iss. 4
Open Access | Times Cited: 10

Showing 10 citing articles:

Dynamic predictive coding: A model of hierarchical sequence learning and prediction in the neocortex
Linxing Preston Jiang, Rajesh P. N. Rao
PLoS Computational Biology (2024) Vol. 20, Iss. 2, pp. e1011801-e1011801
Open Access | Times Cited: 16
Emergent Rate-Based Dynamics in Duplicate-Free Populations of Spiking Neurons
Valentin Schmutz, Johanni Brea, Wulfram Gerstner
Physical Review Letters (2025) Vol. 134, Iss. 1
Open Access
Spatial and temporal correlations in neural networks with structured connectivity
Yan-Liang Shi, Roxana Zeraati, Anna Levina, et al.
Physical Review Research (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 11
Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception
Matthias Brucklacher, Sander M. Bohté, Jorge F. Mejías, et al.
Frontiers in Computational Neuroscience (2023) Vol. 17
Open Access | Times Cited: 11
Unified field theoretical approach to deep and recurrent neuronal networks
Kai Segadlo, Bastian Epping, Alexander van Meegen, et al.
Journal of Statistical Mechanics Theory and Experiment (2022) Vol. 2022, Iss. 10, pp. 103401-103401
Open Access | Times Cited: 15
Linking network- and neuron-level correlations by renormalized field theory
M.I. Dick, Alexander van Meegen, Moritz Helias
Physical Review Research (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 2
Dynamic Predictive Coding: A Model of Hierarchical Sequence Learning and Prediction in the Neocortex
Linxing Preston Jiang, Rajesh P. N. Rao
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 11
Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware
Benjamin Cramer, Markus Kreft, Sebastian Billaudelle, et al.
Physical Review Research (2023) Vol. 5, Iss. 3
Open Access | Times Cited: 4
Multiplicative Shot-Noise: A New Route to Stability of Plastic Networks
Bin Wang, Johnatan Aljadeff
Physical Review Letters (2022) Vol. 129, Iss. 6
Open Access | Times Cited: 7
Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception
Matthias Brucklacher, Sander M. Bohté, Jorge F. Mejías, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
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