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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:

Synaptic plasticity as Bayesian inference
Laurence Aitchison, Jannes Jegminat, Jorge Aurelio Menendez, et al.
Nature Neuroscience (2021) Vol. 24, Iss. 4, pp. 565-571
Open Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

Representational drift: Emerging theories for continual learning and experimental future directions
Laura N. Driscoll, Lea Duncker, Christopher D. Harvey
Current Opinion in Neurobiology (2022) Vol. 76, pp. 102609-102609
Closed Access | Times Cited: 95
The Computational and Neural Bases of Context-Dependent Learning
James B. Heald, Daniel M. Wolpert, Máté Lengyel
Annual Review of Neuroscience (2023) Vol. 46, Iss. 1, pp. 233-258
Open Access | Times Cited: 44
Precision control for a flexible body representation
Jakub Limanowski
Neuroscience & Biobehavioral Reviews (2021) Vol. 134, pp. 104401-104401
Open Access | Times Cited: 92
Filopodia are a structural substrate for silent synapses in adult neocortex
Dimitra Vardalaki, Kwanghun Chung, Mark T. Harnett
Nature (2022) Vol. 612, Iss. 7939, pp. 323-327
Closed Access | Times Cited: 69
Neural learning rules for generating flexible predictions and computing the successor representation
Ching Fang, Dmitriy Aronov, LF Abbott, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 41
Incorporating neuro-inspired adaptability for continual learning in artificial intelligence
Liyuan Wang, Xingxing Zhang, Qian Li, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 12, pp. 1356-1368
Open Access | Times Cited: 32
Representations of uncertainty: where art thou?
Ádám Koblinger, József Fiser, Máté Lengyel
Current Opinion in Behavioral Sciences (2021) Vol. 38, pp. 150-162
Open Access | Times Cited: 46
Post-injury pain and behaviour: a control theory perspective
Ben Seymour, Robyn J. Crook, Zhe Chen
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 6, pp. 378-392
Open Access | Times Cited: 17
Presynaptic nanoscale components of retrograde synaptic signaling
Benjámin Barti, Barna Dudok, Kata Kenesei, et al.
Science Advances (2024) Vol. 10, Iss. 22
Open Access | Times Cited: 7
Drifting neuronal representations: Bug or feature?
Paul Masset, Shanshan Qin, Jacob A. Zavatone-Veth
Biological Cybernetics (2022) Vol. 116, Iss. 3, pp. 253-266
Closed Access | Times Cited: 26
What is neurorepresentationalism? From neural activity and predictive processing to multi-level representations and consciousness
Cyriel M. A. Pennartz
Behavioural Brain Research (2022) Vol. 432, pp. 113969-113969
Open Access | Times Cited: 26
Structural network measures reveal the emergence of heavy-tailed degree distributions in lottery ticket multilayer perceptrons
Chris Kang, Jasmine A. Moore, Samuel Robertson, et al.
Neural Networks (2025) Vol. 187, pp. 107308-107308
Open Access
Fast and slow synaptic plasticity enables concurrent control and learning
Brendan A. Bicknell, Peter E. Latham
(2025)
Open Access
Fast and slow synaptic plasticity enables concurrent control and learning
Brendan A. Bicknell, Peter E. Latham
(2025)
Open Access
Neural implementations of Bayesian inference
Hansem Sohn, Devika Narain
Current Opinion in Neurobiology (2021) Vol. 70, pp. 121-129
Open Access | Times Cited: 27
Dendritic Excitability and Synaptic Plasticity In Vitro and In Vivo
Kevin C. Gonzalez, Attila Losonczy, Adrian Negrean
Neuroscience (2022) Vol. 489, pp. 165-175
Open Access | Times Cited: 17
Bayesian surprise shapes neural responses in somatosensory cortical circuits
Gwendolyn English, Newsha Ghasemi Nejad, Marcel Sommerfelt, et al.
Cell Reports (2023) Vol. 42, Iss. 2, pp. 112009-112009
Open Access | Times Cited: 9
Desiderata for Normative Models of Synaptic Plasticity
Colin Bredenberg, Cristina Savin
Neural Computation (2024) Vol. 36, Iss. 7, pp. 1245-1285
Open Access | Times Cited: 3
Signatures of Bayesian inference emerge from energy-efficient synapses
James Malkin, Cian O’Donnell, Conor Houghton, et al.
eLife (2024) Vol. 12
Open Access | Times Cited: 3
Emergence of associative learning in a neuromorphic inference network
Daniela Gandolfi, Francesco Maria Puglisi, Giulia Maria Boiani, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 3, pp. 036022-036022
Open Access | Times Cited: 15
Presynaptic stochasticity improves energy efficiency and helps alleviate the stability-plasticity dilemma
Simon Schug, Frederik Benzing, Angelika Steger
eLife (2021) Vol. 10
Open Access | Times Cited: 18
Prediction Error Determines Whether NMDA Receptors in the Basolateral Amygdala Complex Are Involved in Pavlovian Fear Conditioning
Matthew J. Williams-Spooner, Andrew Delaney, R. Frederick Westbrook, et al.
Journal of Neuroscience (2022) Vol. 42, Iss. 21, pp. 4360-4379
Open Access | Times Cited: 13
Bayesian brain theory: Computational neuroscience of belief
Hugo Bottemanne
Neuroscience (2024) Vol. 566, pp. 198-204
Closed Access | Times Cited: 2
Learning as filtering: Implications for spike-based plasticity
Jannes Jegminat, Simone Carlo Surace, Jean-Pascal Pfister
PLoS Computational Biology (2022) Vol. 18, Iss. 2, pp. e1009721-e1009721
Open Access | Times Cited: 11
Natural-gradient learning for spiking neurons
Elena Kreutzer, Walter Senn, Mihai A. Petrovici
eLife (2022) Vol. 11
Open Access | Times Cited: 11
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