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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:

Variability in training unlocks generalization in visual perceptual learning through invariant representations
Giorgio Manenti, Aslan S. Dizaji, Caspar M. Schwiedrzik
Current Biology (2023) Vol. 33, Iss. 5, pp. 817-826.e3
Open Access | Times Cited: 19

Showing 19 citing articles:

Representing Variability
Andrey Chetverikov, Árni Kristjánsson
(2024)
Open Access | Times Cited: 7
The asymmetric transfers of visual perceptual learning determined by the stability of geometrical invariants
Yan Yang, Yan Zhuo, Zhentao Zuo, et al.
(2025)
Open Access
Multisensory stimuli facilitate low-level perceptual learning on a difficult global motion task in virtual reality
Catherine A. Fromm, Ross K. Maddox, Melissa J. Polonenko, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0319007-e0319007
Open Access
Decision-making processes in perceptual learning depend on effectors
Vladyslav Ivanov, Giorgio Manenti, Sandrin S. Plewe, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Profiles of visual perceptual learning in feature space
Shiqi Shen, Yueling Sun, Jiachen Lu, et al.
iScience (2024) Vol. 27, Iss. 3, pp. 109128-109128
Open Access | Times Cited: 1
Modulating temporal dynamics of performance across retinotopic locations enhances the generalization of perceptual learning
Taly Kondat, Maya Aderka, Nitzan Censor
iScience (2023) Vol. 26, Iss. 11, pp. 108276-108276
Open Access | Times Cited: 2
Unravelling the multisensory learning advantage: Different patterns of within and across frequency-specific interactions drive uni- and multisensory neuroplasticity
Evangelos Paraskevopoulos, Alexandra Anagnostopoulou, Nikolas Chalas, et al.
NeuroImage (2024) Vol. 291, pp. 120582-120582
Open Access
Transfer of visual perceptual learning over a task-irrelevant feature through feature-invariant representations: Behavioral experiments and model simulations
Jiajuan Liu, Zhong‐Lin Lu, Barbara Dosher
Journal of Vision (2024) Vol. 24, Iss. 6, pp. 17-17
Open Access
The asymmetric transfers of visual perceptual learning determined by the stability of geometrical invariants
Yan Yang, Yan Zhuo, Zhentao Zuo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Task-irrelevant phase but not contrast variability unlocks generalization in visual perceptual learning
Beyza Akkoyunlu, Caspar M. Schwiedrzik
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
The asymmetric transfers of visual perceptual learning determined by the stability of geometrical invariants
Yan Yang, Yan Zhuo, Zhentao Zuo, et al.
(2024)
Open Access
The asymmetric transfers of visual perceptual learning determined by the stability of geometrical invariants
Yan Yang, Yan Zhuo, Zhentao Zuo, et al.
(2024)
Open Access
Feature variability determines specificity and transfer in multiorientation feature detection learning
Jun-Ping Zhu, Jun-Yun Zhang
Journal of Vision (2024) Vol. 24, Iss. 5, pp. 2-2
Open Access
Double training reveals an interval-invariant subsecond temporal structure in the brain
Shu-Chen Guan, Ying-Zi Xiong, Cong Yu
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Center-surround inhibition by expectation: a neuro-computational account
Ling Huang, Shiqi Shen, Yueling Sun, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Time Courses of Brain Plasticity Underpinning Visual Motion Perceptual Learning
Yongqian Song, Qian Wang, Fang Fang
NeuroImage (2024) Vol. 302, pp. 120897-120897
Open Access
Perceptual learning: Breaking specificity by variability
Rufin Vogels
Current Biology (2023) Vol. 33, Iss. 5, pp. R182-R185
Open Access | Times Cited: 1
The use of a deep learning model in the histopathological diagnosis of actinic keratosis: A case control accuracy study
Johannes Balkenhol, Maximilian Schmidt, T. Schnauder, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Decision-making processes in perceptual learning depend on effectors
Vladyslav Ivanov, Giorgio Manenti, Sandrin S. Plewe, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
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