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:

Dissociating error-based and reinforcement-based loss functions during sensorimotor learning
Joshua G. A. Cashaback, Heather E. McGregor, Ayman Mohatarem, et al.
PLoS Computational Biology (2017) Vol. 13, Iss. 7, pp. e1005623-e1005623
Open Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

Motor Learning
John W. Krakauer, Alkis M. Hadjiosif, Jing Xu, et al.
Comprehensive physiology (2019), pp. 613-663
Closed Access | Times Cited: 539

Interactions between sensory prediction error and task error during implicit motor learning
Jonathan S. Tsay, Adrian M. Haith, Richard B. Ivry, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 3, pp. e1010005-e1010005
Open Access | Times Cited: 82

Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills
Pierre Vassiliadis, Elena Beanato, Traian Popa, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 8, pp. 1581-1598
Open Access | Times Cited: 23

The influence of task outcome on implicit motor learning
Hyosub E. Kim, Darius E. Parvin, Richard B. Ivry
eLife (2019) Vol. 8
Open Access | Times Cited: 124

Neural Correlates of Reinforcement Learning in Mid-lateral Cerebellum
Naveen Sendhilnathan, Mulugeta Semework, Michael E. Goldberg, et al.
Neuron (2020) Vol. 106, Iss. 1, pp. 188-198.e5
Open Access | Times Cited: 86

The Psychology of Reaching: Action Selection, Movement Implementation, and Sensorimotor Learning
Hyosub E. Kim, Guy Avraham, Richard B. Ivry
Annual Review of Psychology (2020) Vol. 72, Iss. 1, pp. 61-95
Open Access | Times Cited: 85

De novo learning versus adaptation of continuous control in a manual tracking task
Christopher S. Yang, Noah J. Cowan, Adrian M. Haith
eLife (2021) Vol. 10
Open Access | Times Cited: 63

Task errors contribute to implicit aftereffects in sensorimotor adaptation
Li‐Ann Leow, Welber Marinovic, Aymar de Rugy, et al.
European Journal of Neuroscience (2018) Vol. 48, Iss. 11, pp. 3397-3409
Open Access | Times Cited: 82

Can patients with cerebellar disease switch learning mechanisms to reduce their adaptation deficits?
Aaron L. Wong, Cherie L. Marvel, Jordan A. Taylor, et al.
Brain (2018) Vol. 142, Iss. 3, pp. 662-673
Open Access | Times Cited: 61

The gradient of the reinforcement landscape influences sensorimotor learning
Joshua G. A. Cashaback, Christopher K. Lao, Dimitrios J. Palidis, et al.
PLoS Computational Biology (2019) Vol. 15, Iss. 3, pp. e1006839-e1006839
Open Access | Times Cited: 54

Reward boosts reinforcement-based motor learning
Pierre Vassiliadis, Gérard Derosière, Cécile Dubuc, et al.
iScience (2021) Vol. 24, Iss. 7, pp. 102821-102821
Open Access | Times Cited: 43

Neural signatures of reward and sensory error feedback processing in motor learning
Dimitrios J. Palidis, Joshua G. A. Cashaback, Paul L. Gribble
Journal of Neurophysiology (2019) Vol. 121, Iss. 4, pp. 1561-1574
Open Access | Times Cited: 50

NSF DARE—transforming modeling in neurorehabilitation: a patient-in-the-loop framework
Joshua G. A. Cashaback, Jessica L. Allen, Amber H.Y. Chou, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 5

Reinforcement Learning during Locomotion
Jonathan M. Wood, Hyosub E. Kim, Susanne M. Morton
eNeuro (2024) Vol. 11, Iss. 3, pp. ENEURO.0383-23.2024
Open Access | Times Cited: 5

Somatosensory working memory in human reinforcement-based motor learning
Ananda Sidarta, Floris T. van Vugt, David J. Ostry
Journal of Neurophysiology (2018) Vol. 120, Iss. 6, pp. 3275-3286
Open Access | Times Cited: 38

Affect-biased attention and predictive processing
Madeleine Ransom, Sina Fazelpour, Jelena Markovic, et al.
Cognition (2020) Vol. 203, pp. 104370-104370
Closed Access | Times Cited: 33

The sensorimotor system modulates muscular co-contraction relative to visuomotor feedback responses to regulate movement variability
Jan A. Calalo, Adam M. Roth, Rakshith Lokesh, et al.
Journal of Neurophysiology (2023) Vol. 129, Iss. 4, pp. 751-766
Open Access | Times Cited: 11

Bayesian Efficient Coding
Il Memming Park, Jonathan W. Pillow
bioRxiv (Cold Spring Harbor Laboratory) (2017)
Open Access | Times Cited: 36

Mechanisms of Human Motor Learning Do Not Function Independently
Amanda S. Therrien, Aaron L. Wong
Frontiers in Human Neuroscience (2022) Vol. 15
Open Access | Times Cited: 18

Exploration-based learning of a stabilizing controller predicts locomotor adaptation
Nidhi Seethapathi, Barrett C. Clark, Manoj Srinivasan
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3

Error-based and reinforcement learning in basketball free throw shooting
Charlène Truong, Célia Ruffino, Alexandre Crognier, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8

Failure induces task-irrelevant exploration during a stencil task
Katinka van der Kooij, Nina M. van Mastrigt, Joshua G. A. Cashaback
Experimental Brain Research (2023) Vol. 241, Iss. 2, pp. 677-686
Open Access | Times Cited: 7

Visual accuracy dominates over haptic speed for state estimation of a partner during collaborative sensorimotor interactions
Rakshith Lokesh, Seth R. Sullivan, Laura St. Germain, et al.
Journal of Neurophysiology (2023) Vol. 130, Iss. 1, pp. 23-42
Closed Access | Times Cited: 7

Differential effects of reward and punishment on reinforcement-based motor learning and generalization
Cong Yin, Biao Li, Tian Gao
Journal of Neurophysiology (2023) Vol. 130, Iss. 5, pp. 1150-1161
Closed Access | Times Cited: 7

Punishment Leads to Greater Sensorimotor Learning But Less Movement Variability Compared to Reward
Adam M. Roth, Rakshith Lokesh, Jiaqiao Tang, et al.
Neuroscience (2024) Vol. 540, pp. 12-26
Closed Access | Times Cited: 2

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