Roles and interplay of reinforcement-based and error-based processes during reaching and gait in neurotypical adults and individuals with Parkinson’s disease
Author
Abstract
Suggested Citation
DOI: 10.1371/journal.pcbi.1012474
Download full text from publisher
References listed on IDEAS
- Jonathan B Dingwell & Joby John & Joseph P Cusumano, 2010. "Do Humans Optimally Exploit Redundancy to Control Step Variability in Walking?," PLOS Computational Biology, Public Library of Science, vol. 6(7), pages 1-15, July.
- Kurt A. Thoroughman & Reza Shadmehr, 2000. "Learning of action through adaptive combination of motor primitives," Nature, Nature, vol. 407(6805), pages 742-747, October.
- Dagmar Sternad & Se-Woong Park & Hermann Müller & Neville Hogan, 2010. "Coordinate Dependence of Variability Analysis," PLOS Computational Biology, Public Library of Science, vol. 6(4), pages 1-16, April.
- Mathias Pessiglione & Ben Seymour & Guillaume Flandin & Raymond J. Dolan & Chris D. Frith, 2006. "Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans," Nature, Nature, vol. 442(7106), pages 1042-1045, August.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Manuel Glauco Carbone & Icro Maremmani, 2024. "Chronic Cocaine Use and Parkinson’s Disease: An Interpretative Model," IJERPH, MDPI, vol. 21(8), pages 1-23, August.
- repec:plo:pone00:0037900 is not listed on IDEAS
- Hanan Shteingart & Tal Neiman & Yonatan Loewenstein, 2012. "The Role of First Impression in Operant Learning," Discussion Paper Series dp626, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
- Kuhnen, Camelia M. & Miu, Andrei C., 2017.
"Socioeconomic status and learning from financial information,"
Journal of Financial Economics, Elsevier, vol. 124(2), pages 349-372.
- Camelia M. Kuhnen & Andrei C. Miu, 2015. "Socioeconomic Status and Learning from Financial Information," NBER Working Papers 21214, National Bureau of Economic Research, Inc.
- Camelia Kuhnen & Andrei Mui, 2015. "Socioeconomic Status and Learning from Financial Information," Working Papers 2015-018, Human Capital and Economic Opportunity Working Group.
- Reimann, Martin & Bechara, Antoine, 2010. "The somatic marker framework as a neurological theory of decision-making: Review, conceptual comparisons, and future neuroeconomics research," Journal of Economic Psychology, Elsevier, vol. 31(5), pages 767-776, October.
- George I. Christopoulos & Xiao-Xiao Liu & Ying-yi Hong, 2017. "Toward an Understanding of Dynamic Moral Decision Making: Model-Free and Model-Based Learning," Journal of Business Ethics, Springer, vol. 144(4), pages 699-715, September.
- Steven H Collins & Arthur D Kuo, 2013. "Two Independent Contributions to Step Variability during Over-Ground Human Walking," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-1, August.
- Maël Lebreton & Karin Bacily & Stefano Palminteri & Jan B Engelmann, 2019. "Contextual influence on confidence judgments in human reinforcement learning," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-27, April.
- repec:plo:pbio00:0040179 is not listed on IDEAS
- Barbara Feulner & Matthew G. Perich & Raeed H. Chowdhury & Lee E. Miller & Juan A. Gallego & Claudia Clopath, 2022. "Small, correlated changes in synaptic connectivity may facilitate rapid motor learning," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
- Jonathan B Dingwell & Joseph P Cusumano, 2019. "Humans use multi-objective control to regulate lateral foot placement when walking," PLOS Computational Biology, Public Library of Science, vol. 15(3), pages 1-28, March.
- Paolo Tommasino & Antonella Maselli & Domenico Campolo & Francesco Lacquaniti & Andrea d’Avella, 2021. "A Hessian-based decomposition characterizes how performance in complex motor skills depends on individual strategy and variability," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-32, June.
- Joshua G A Cashaback & Christopher K Lao & Dimitrios J Palidis & Susan K Coltman & Heather R McGregor & Paul L Gribble, 2019. "The gradient of the reinforcement landscape influences sensorimotor learning," PLOS Computational Biology, Public Library of Science, vol. 15(3), pages 1-27, March.
- Yael Mandelblat-Cerf & Itai Novick & Eilon Vaadia, 2011. "Expressions of Multiple Neuronal Dynamics during Sensorimotor Learning in the Motor Cortex of Behaving Monkeys," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-14, July.
- Joshua G A Cashaback & Heather R McGregor & Ayman Mohatarem & Paul L Gribble, 2017. "Dissociating error-based and reinforcement-based loss functions during sensorimotor learning," PLOS Computational Biology, Public Library of Science, vol. 13(7), pages 1-28, July.
- repec:plo:pone00:0086580 is not listed on IDEAS
- Kuhnen, Camelia M. & Knutson, Brian, 2011.
"The Influence of Affect on Beliefs, Preferences, and Financial Decisions,"
Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(3), pages 605-626, June.
- Kuhnen, Camelia & Knutson, Brian, 2008. "The Influence of Affect on Beliefs, Preferences and Financial Decisions," MPRA Paper 10410, University Library of Munich, Germany.
- Bruno B Averbeck, 2015. "Theory of Choice in Bandit, Information Sampling and Foraging Tasks," PLOS Computational Biology, Public Library of Science, vol. 11(3), pages 1-28, March.
- Karima Chakroun & Antonius Wiehler & Ben Wagner & David Mathar & Florian Ganzer & Thilo Eimeren & Tobias Sommer & Jan Peters, 2023. "Dopamine regulates decision thresholds in human reinforcement learning in males," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
- Sepulveda, Pradyumna & Aitsahalia, Ines & Kumar, Krishan & Atkin, Tobias & Iigaya, Kiyohito, 2024. "Addressing Altered Anticipation as a Transdiagnostic Target through Computational Psychiatry," OSF Preprints dtm3r, Center for Open Science.
- Stefano Palminteri & Emma J Kilford & Giorgio Coricelli & Sarah-Jayne Blakemore, 2016. "The Computational Development of Reinforcement Learning during Adolescence," PLOS Computational Biology, Public Library of Science, vol. 12(6), pages 1-25, June.
- Daniel Blustein & Ahmed Shehata & Kevin Englehart & Jonathon Sensinger, 2018. "Conventional analysis of trial-by-trial adaptation is biased: Empirical and theoretical support using a Bayesian estimator," PLOS Computational Biology, Public Library of Science, vol. 14(12), pages 1-15, December.
- Julius Verrel & Didier Pradon & Nicolas Vuillerme, 2012. "Persistence of Motor-Equivalent Postural Fluctuations during Bipedal Quiet Standing," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-8, October.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pcbi00:1012474. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ploscompbiol (email available below). General contact details of provider: https://journals.plos.org/ploscompbiol/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.