Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Effective reinforcement learning following cerebellar damage requires a balance between exploration and motor noise
Amanda S. Therrien, Daniel M. Wolpert, Amy J. Bastian
Brain (2015) Vol. 139, Iss. 1, pp. 101-114
Open Access | Times Cited: 207

Showing 1-25 of 207 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
Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning
Huimin Lu, Yujie Li, Shenglin Mu, et al.
IEEE Internet of Things Journal (2017) Vol. 5, Iss. 4, pp. 2315-2322
Closed Access | Times Cited: 477
It's not (only) the mean that matters: variability, noise and exploration in skill learning
Dagmar Sternad
Current Opinion in Behavioral Sciences (2018) Vol. 20, pp. 183-195
Open Access | Times Cited: 193
Reward signals in the cerebellum: Origins, targets, and functional implications
Dimitar Kostadinov, Michael Häusser
Neuron (2022) Vol. 110, Iss. 8, pp. 1290-1303
Open Access | Times Cited: 69
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
Motor Learning Enhances Use-Dependent Plasticity
Firas Mawase, Shintaro Uehara, Amy J. Bastian, et al.
Journal of Neuroscience (2017) Vol. 37, Iss. 10, pp. 2673-2685
Open Access | Times Cited: 122
The role of the human cerebellum in performance monitoring
Jutta Peterburs, John E. Desmond
Current Opinion in Neurobiology (2016) Vol. 40, pp. 38-44
Open Access | Times Cited: 119
The cerebellum does more than sensory prediction error-based learning in sensorimotor adaptation tasks
Peter A. Butcher, Richard B. Ivry, Sheng‐Han Kuo, et al.
Journal of Neurophysiology (2017) Vol. 118, Iss. 3, pp. 1622-1636
Open Access | Times Cited: 112
Contribution of explicit processes to reinforcement-based motor learning
Peter Holland, Olivier Codol, Joseph M. Galea
Journal of Neurophysiology (2018) Vol. 119, Iss. 6, pp. 2241-2255
Open Access | Times Cited: 107
Multiple Motor Learning Processes in Humans: Defining Their Neurophysiological Bases
Danny Spampinato, Pablo Celnik
The Neuroscientist (2020) Vol. 27, Iss. 3, pp. 246-267
Open Access | Times Cited: 100
The super-learning hypothesis: Integrating learning processes across cortex, cerebellum and basal ganglia
Daniele Caligiore, Michael A. Arbib, R. Chris Miall, et al.
Neuroscience & Biobehavioral Reviews (2019) Vol. 100, pp. 19-34
Open Access | Times Cited: 94
Feedback delay attenuates implicit but facilitates explicit adjustments to a visuomotor rotation
Raphael Schween, Mathias Hegele
Neurobiology of Learning and Memory (2017) Vol. 140, pp. 124-133
Closed Access | Times Cited: 93
Adaptive Regulation of Motor Variability
Ashesh K. Dhawale, Yohsuke R. Miyamoto, Maurice A. Smith, et al.
Current Biology (2019) Vol. 29, Iss. 21, pp. 3551-3562.e7
Open Access | Times Cited: 84
Updates in Motor Learning: Implications for Physical Therapist Practice and Education
Kristan A. Leech, Ryan T. Roemmich, James Gordon, et al.
Physical Therapy (2021) Vol. 102, Iss. 1
Open Access | Times Cited: 76
Finding Neural Biomarkers for Motor Learning and Rehabilitation using an Explainable Graph Neural Network
Jinpei Han, A. Embs, Federico Nardi, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2025) Vol. 33, pp. 554-565
Open Access | Times Cited: 1
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
The relationship between reinforcement and explicit control during visuomotor adaptation
Olivier Codol, Peter Holland, Joseph M. Galea
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 77
Closing the Loop: From Motor Neuroscience to Neurorehabilitation
Ryan T. Roemmich, Amy J. Bastian
Annual Review of Neuroscience (2018) Vol. 41, Iss. 1, pp. 415-429
Closed Access | Times Cited: 73
The impact of reward and punishment on skill learning depends on task demands
Adam Steel, Edward H. Silson, Charlotte J. Stagg, et al.
Scientific Reports (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 71
Increasing Motor Noise Impairs Reinforcement Learning in Healthy Individuals
Amanda S. Therrien, Daniel M. Wolpert, Amy J. Bastian
eNeuro (2018) Vol. 5, Iss. 3, pp. ENEURO.0050-18.2018
Open Access | Times Cited: 68
Exploration of joint redundancy but not task space variability facilitates supervised motor learning
Puneet Singh, Sumitash Jana, Ashitava Ghosal, et al.
Proceedings of the National Academy of Sciences (2016) Vol. 113, Iss. 50, pp. 14414-14419
Open Access | Times Cited: 62
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
Interactions between motor exploration and reinforcement learning
Shintaro Uehara, Firas Mawase, Amanda S. Therrien, et al.
Journal of Neurophysiology (2019) Vol. 122, Iss. 2, pp. 797-808
Open Access | Times Cited: 57
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
Page 1 - Next Page

Scroll to top