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Reward Improves Long-Term Retention of a Motor Memory through Induction of Offline Memory Gains
Open accessAbstract
In humans, training in which good performance is rewarded or bad performance punished results in transient behavioral improvements. The relative effects of reward and punishment on consolidation and long-term retention, critical behavioral stages for successful learning, are not known. Here, we investigated the effects of reward and punishment on these different stages of human motor skill learning. We studied healthy subjects who trained on a motor task under rewarded, punished, or neutral control conditions. Performance was tested before and immediately, 6 hr, 24 hr, and 30 days after training in the absence of reward or punishment. Performance improvements immediately after training were comparable in the three groups. At 6 hr, the rewarded group maintained performance gains, whereas the other two groups experienced significant forgetting. At 24 hr, the reward group showed significant offline (posttraining) improvements, whereas the other two groups did not. At 30 days, the rewarded group retained the gains identified at 24 hr, whereas the other two groups experienced significant forgetting. We conclude that training under rewarded conditions is more effective than training under punished or neutral conditions in eliciting lasting motor learning, an advantage driven by offline memory gains that persist over time.
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“Interestingly, all groups demonstrated similar performances immediately after the practice phase.However, 6 hours later, the rewarded group outperformed the other two groups and, in contrast to the punished and control groups, even showed performance gains after 24 hours and 30 days.”
From Optimizing performance through intrinsic motivation and attention for learning: The OPTIMAL theory of motor learning (2016) · cites this paper as Abe et al., 2011
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“Abe and colleagues (Abe et al., 2011) found that a group receiving monetary rewards for good performance on a tracking task during practice showed more effective learning than a group that was punished for poor performance (by having money deducted) or a control group.”
From Optimizing performance through intrinsic motivation and attention for learning: The OPTIMAL theory of motor learning (2016) · cites this paper as Abe et al., 2011
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Cites
Ferster, C. B., & Skinner, B. F. (1957) · doi:10.1037/10627-000 · Cited by 4,894
Getting formal with dopamine and reward
Schultz, W. (2002) · Neuron · doi:10.1016/s0896-6273(02)00967-4 · Cited by 2,574
Reward representations and reward-related learning in the human brain: Insights from neuroimaging
O’Doherty, J. P. (2004) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2004.10.016 · Cited by 1,426
Reis, J., Schambra, H. M., Cohen, L. G., Buch, E. R., Fritsch, B., Zarahn, E., Celnik, P. A., & Krakauer, J. W. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0805413106 · Cited by 1,401
Self-citationTwo types of dopamine neuron distinctly convey positive and negative motivational signals
Matsumoto, M., & Hikosaka, O. (2009) · Nature · doi:10.1038/nature08028 · Cited by 1,378
Reorganization and plasticity in the adult brain during learning of motor skills
Doyon, J., & Benali, H. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.03.004 · Cited by 1,028
Distinct contribution of the cortico-striatal and cortico-cerebellar systems to motor skill learning
Doyon, J., Penhune, V. B., & Ungerleider, L. G. (2002) · Neuropsychologia · doi:10.1016/s0028-3932(02)00158-6 · Cited by 885
A cellular mechanism of reward-related learning
Reynolds, J. N. J., Hyland, B. I., & Wickens, J. R. (2001) · Nature · doi:10.1038/35092560 · Cited by 879
Dopamine-mediated regulation of corticostriatal synaptic plasticity
Calabresi, P., Picconi, B., Tozzi, A., & Di Filippo, M. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.03.001 · Cited by 865
Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loops
Tanaka, S. C., Doya, K., Okada, G., Ueda, K., Okamoto, Y., & Yamawaki, S. (2004) · Nature Neuroscience · doi:10.1038/nn1279 · Cited by 779
Shohamy, D., & Adcock, R. A. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.08.002 · Cited by 736
Dopamine: a potential substrate for synaptic plasticity and memory mechanisms
Jay, T. M. (2003) · Progress in Neurobiology · doi:10.1016/s0301-0082(03)00085-6 · Cited by 579
Importance of unpredictability for reward responses in primate dopamine neurons
Mirenowicz, J., & Schultz, W. (1994) · Journal of Neurophysiology · doi:10.1152/jn.1994.72.2.1024 · Cited by 544
Huang, Y.-Y., & Kandel, E. R. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.7.2446 · Cited by 544
Current concepts in procedural consolidation
Robertson, E. M., Pascual-Leone, A., & Miall, R. C. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1426 · Cited by 530
Dopamine controls persistence of long-term memory storage
Rossato, J. I., Bevilaqua, L. R. M., Izquierdo, I., Medina, J. H., & Cammarota, M. (2009) · Science · doi:10.1126/science.1172545 · Cited by 486
Experience-dependent changes in cerebellar contributions to motor sequence learning
Doyon, J., Song, A. W., Karni, A., Lalonde, F. M., Adams, M. M., & Ungerleider, L. G. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.022615199 · Cited by 478
Kim, H., Shimojo, S., & O’Doherty, J. P. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040233 · Cited by 470
Reward learning in normal and mutant Drosophila
Tempel, B. L., Bonini, N. M., Dawson, D. R., & Quinn, W. G. (1983) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.80.5.1482 · Cited by 391
Changing Brain Networks for Visuomotor Control With Increased Movement Automaticity
Floyer-Lea, A., & Matthews, P. M. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01092.2003 · Cited by 349
The role of 5-HT1A receptors in learning and memory
Ögren, S. O., Eriksson, T. M., Elvander-Tottie, E., D’Addario, C., Ekstrom, J. C., Svenningsson, P., Meister, B., Kehr, J., & Stiedl, O. (2008) · Behavioural Brain Research · doi:10.1016/j.bbr.2008.02.023 · Cited by 348
Motor Adaptation as a Process of Reoptimization
Izawa, J., Rane, T. D., Donchin, O., & Shadmehr, R. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5359-07.2008 · Cited by 341
Sleep-dependent motor memory plasticity in the human brain
Walker, M. P., Stickgold, R., Alsop, D., Gaab, N., & Schlaug, G. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2005.04.007 · Cited by 308
Neural mechanisms of reward-related motor learning
Wickens, J. R., Reynolds, J. N., & Hyland, B. I. (2003) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2003.10.013 · Cited by 284
How long will long-term potentiation last?
Abraham, W. C. (2003) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2002.1222 · Cited by 271
Dynamic Cortical and Subcortical Networks in Learning and Delayed Recall of Timed Motor Sequences
Penhune, V. B., & Doyon, J. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-04-01397.2002 · Cited by 244
The neurobiology of punishment
Seymour, B., Singer, T., & Dolan, R. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2119 · Cited by 240
Dopamine Transmission in the Human Striatum during Monetary Reward Tasks
Zald, D. H., Boileau, I., El-Dearedy, W., Gunn, R., McGlone, F., Dichter, G. S., & Dagher, A. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4643-03.2004 · Cited by 238
Temporal Discounting of Reward and the Cost of Time in Motor Control
Shadmehr, R., de Xivry, J. O., Xu-Wilson, M., & Shih, T.-Y. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.1343-10.2010 · Cited by 205
Differential Effect of Reward and Punishment on Procedural Learning
Wächter, T., Lungu, O., Liu, T., Willingham, D. T., & Ashe, J. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.4132-08.2009 · Cited by 204
Gaspar, P., Stepniewska, I., & Kaas, J. H. (1992) · The Journal of Comparative Neurology · doi:10.1002/cne.903250102 · Cited by 187
Sleep and sensorimotor integration during early vocal learning in a songbird
Shank, S. S., & Margoliash, D. (2009) · Nature · doi:10.1038/nature07615 · Cited by 178 · cited 1×
“It is conceivable that the cerebellum could contribute to error-based learning whereas the striatum and neocortex may become engaged in later stages [39, 40] and long-term retention [41] under rewarded conditions.”
BackgroundCerebellar Subjects Show Impaired Adaptation of Anticipatory EMG During Catching
Lang, C. E., & Bastian, A. J. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.82.5.2108 · Cited by 158
Prediction error for free monetary reward in the human prefrontal cortex
Ramnani, N., Elliott, R., Athwal, B. S., & Passingham, R. E. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.028 · Cited by 136
Enhanced contextual fear memory in central serotonin-deficient mice
Dai, J., Han, H., Tian, M., Cao, J., Xiu, J., Song, N., Huang, Y., Xu, T., Ding, Y., & Xu, L. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801329105 · Cited by 136
Levodopa increases memory encoding and dopamine release in the striatum in the elderly.
Flöel, A., Garraux, G., Xu, B., Breitenstein, C., Knecht, S., Herscovitch, P., & Cohen, L. G. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.10.009 · Cited by 95
Self-citationReward‐related activity in the human motor cortex
Kapogiannis, D., Campion, P., Grafman, J. H., & Wassermann, E. M. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06147.x · Cited by 75
Self-citationNakatani, Y., Matsumoto, Y., Mori, Y., Hirashima, D., Nishino, H., Arikawa, K., & Mizunami, M. (2009) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2009.05.003 · Cited by 66
Striatal dopamine transmission in healthy humans during a passive monetary reward task
Hakyemez, H., Dagher, A., Smith, S. D., & Zald, D. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.10.034 · Cited by 42
Turchi, J. N., Devan, B. D., Yin, P., Sigrist, E., & Mishkin, M. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.02.003 · Cited by 12
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Dayan, E., & Cohen, L. G. (2011) · Neuron · doi:10.1016/j.neuron.2011.10.008 · Cited by 1,408
Self-citationPrinciples of sensorimotor learning
Wolpert, D. M., Diedrichsen, J., & Flanagan, J. R. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3112 · Cited by 1,391
Wulf, G., & Lewthwaite, R. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-015-0999-9 · Cited by 1,238
Brain–machine interface in chronic stroke rehabilitation: A controlled study
Ramos‐Murguialday, A., Broetz, D., Rea, M., Läer, L., Yilmaz, Ö., Brasil, F. L., Liberati, G., Curado, M. R., García‐Cossio, E., Vyziotis, A., et al. (2013) · Annals of Neurology · doi:10.1002/ana.23879 · Cited by 994
Self-citationDistinct roles for direct and indirect pathway striatal neurons in reinforcement
Kravitz, A. V., Tye, L. D., & Kreitzer, A. C. (2012) · Nature Neuroscience · doi:10.1038/nn.3100 · Cited by 972
Metadata
- Authors
- Abe, M., Schambra, H., Wassermann, E. M., Luckenbaugh, D., Schweighofer, N., & Cohen, L. G.
- Affiliations
- National Institutes of Health (US)
- University of Southern California (US)
- Corresponding author
- Cohen, Leonardo G.
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 21
- Issue
- 7
- Pages
- 557-562
- ISSN
- 0960-9822 (ISSN-L)
- PMC
- PMC3075334
- OpenAlex
- W2142533684
- Cited by
- 313
- References
- 40
- Citations by year
- 2026: 20 · 2025: 16 · 2024: 28 · 2023: 22 · 2022: 27 · 2021: 19 · 2020: 26 · 2019: 26 · 2018: 20 · 2017: 20 · 2016: 23 · 2015: 27 · 2014: 18 · 2013: 6 · 2012: 10
- FWCI
- 6.33
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Current Biology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Science Foundation
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (ZIANS002978)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Social Sciences › Psychology › Developmental and Educational Psychology › Sport Psychology and Performance
- Keywords
- reward, punishment, motor skill learning, long-term retention, memory consolidation, forgetting
- MeSH terms
- Adult, Female, Humans, Learning, Male, Motor Activity, Motor Skills, Punishment, Retention, Psychology, Reward, Young Adult, Memory, Long-Term
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