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:

Criticality meets learning: Criticality signatures in a self-organizing recurrent neural network
Bruno Del Papa, Viola Priesemann, Jochen Triesch
PLoS ONE (2017) Vol. 12, Iss. 5, pp. e0178683-e0178683
Open Access | Times Cited: 76

Showing 26-50 of 76 citing articles:

Stability of motor cortex network states during learning-associated neural reorganizations
Zhengyu Ma, Haixin Liu, Takaki Komiyama, et al.
Journal of Neurophysiology (2020) Vol. 124, Iss. 5, pp. 1327-1342
Open Access | Times Cited: 20

Selective Participation of Single Cortical Neurons in Neuronal Avalanches
Timothy Bellay, Woodrow L. Shew, Shan Yu, et al.
Frontiers in Neural Circuits (2021) Vol. 14
Open Access | Times Cited: 17

Not One, but Many Critical States: A Dynamical Systems Perspective
Thilo Groß
Frontiers in Neural Circuits (2021) Vol. 15
Open Access | Times Cited: 17

A unified theory of E/I synaptic balance, quasicritical neuronal avalanches and asynchronous irregular spiking
Mauricio Girardi‐Schappo, Emilio F. Galera, Tawan T. A. Carvalho, et al.
Journal of Physics Complexity (2021) Vol. 2, Iss. 4, pp. 045001-045001
Open Access | Times Cited: 17

Quasicriticality explains variability of human neural dynamics across life span
Leandro J. Fosque, Abolfazl Alipour, Marzieh Zare, et al.
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 11

Single-Cell Membrane Potential Fluctuations Evince Network Scale-Freeness and Quasicriticality
James K. Johnson, Nathaniel C. Wright, Jì Xià, et al.
Journal of Neuroscience (2019) Vol. 39, Iss. 24, pp. 4738-4759
Open Access | Times Cited: 19

Homeostatic criticality in neuronal networks
Gustavo Menesse, Bóris Marin, Mauricio Girardi‐Schappo, et al.
Chaos Solitons & Fractals (2022) Vol. 156, pp. 111877-111877
Open Access | Times Cited: 10

A systematic approach to brain dynamics: cognitive evolution theory of consciousness
Sergey B. Yurchenko
Cognitive Neurodynamics (2022) Vol. 17, Iss. 3, pp. 575-603
Open Access | Times Cited: 10

Structural plasticity driven by task performance leads to criticality signatures in neuromorphic oscillator networks
Petro Feketa, Thomas Meurer, H. Kohlstedt
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 8

Reservoir computing based on quenched chaos
Jaesung Choi, Pilwon Kim
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110131-110131
Open Access | Times Cited: 12

Investigating structural and functional aspects of the brain’s criticality in stroke
Jakub Janarek, Zbigniew Drogosz, Jacek Grela, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4

Quantum Entanglement of the Brain, Dynamics of Information, and Intelligent Finance
Ana Njegovanović
Financial Markets Institutions and Risks (2023), pp. 12-30
Open Access | Times Cited: 4

Homeostatic plasticity and external input shape neural network dynamics
Johannes Zierenberg, Jens Wilting, Viola Priesemann
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Open Access | Times Cited: 12

Critical Dynamics Mediate Learning of New Distributed Memory Representations in Neuronal Networks
Quinton M. Skilling, Nicolette Ognjanovski, Sara J. Aton, et al.
Entropy (2019) Vol. 21, Iss. 11, pp. 1043-1043
Open Access | Times Cited: 11

Noise and spike-time-dependent plasticity drive self-organized criticality in spiking neural network: Toward neuromorphic computing
Narumitsu Ikeda, Dai Akita, Hirokazu Takahashi
Applied Physics Letters (2023) Vol. 123, Iss. 2
Open Access | Times Cited: 3

Tauopathy severely disrupts homeostatic set-points in emergent neural dynamics but not in the activity of individual neurons
James N. McGregor, Clayton A. Farris, Sahara Ensley, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3

Homeostatic Structural Plasticity Can Build Critical Networks
Arjen van Ooyen, Markus Butz‐Ostendorf
Springer series on bio- and neurosystems (2019), pp. 117-137
Closed Access | Times Cited: 9

Fading Memory, Plasticity, and Criticality in Recurrent Networks
Bruno Del Papa, Viola Priesemann, Jochen Triesch
Springer series on bio- and neurosystems (2019), pp. 95-115
Closed Access | Times Cited: 6

The expressivity and training of deep neural networks: Toward the edge of chaos?
Gege Zhang, Gangwei Li, Weining Shen, et al.
Neurocomputing (2019) Vol. 386, pp. 8-17
Open Access | Times Cited: 6

Emergence of diversity in homogeneous coupled Boolean networks
Chris Kang, Boris Aguilar, Ilya Shmulevich
Physical review. E (2018) Vol. 97, Iss. 5
Closed Access | Times Cited: 5

Sequence memory in recurrent neuronal network can develop without structured input
Matthias Loidolt, Lucas Rudelt, Viola Priesemann
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 5

Critical neuromorphic computing based on explosive synchronization
Jaesung Choi, Pilwon Kim
Chaos An Interdisciplinary Journal of Nonlinear Science (2019) Vol. 29, Iss. 4
Open Access | Times Cited: 5

Robust cortical criticality and diverse dynamics resulting from functional specification
Lei Gu, Ruqian Wu
Physical review. E (2021) Vol. 103, Iss. 4
Open Access | Times Cited: 5

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