News Release

Not like riding a bike: New motor memories need stabilizing

Peer-Reviewed Publication

PLOS

Well-practiced motor skills like riding a bike are extremely stable memories that can be effortlessly recalled after years or decades. In contrast, a new study publishing in PLOS Computational Biology shows that changes to motor skill memories occurring over the course of a single practice session are not immediately stable, according to researchers Andrew Brennan and Maurice Smith of Harvard University School of Engineering and Applied Science and Center for Brain Science.

We're all familiar with the old saying that you never forget how to ride a bike and perhaps personally familiar with riding off on a bike years after last putting pedals under your feet. This experience highlights the incredible stability possible for motor skill memories, especially those for well-practiced skills. However, the stability of the new motor memories formed on the shorter timescale of a single practice session has been under debate.

One theory maintains there is a bank of intrinsically stable memories that can be laid down in just a few minutes of practice and that are highly specific to the context surrounding the training. An alternative theory maintains that new motor memories are intrinsically somewhat unstable and tend to be applied over a range of different contexts. Such instability could be beneficial in changing environments, such as maintaining one's running stride while muscles fatigue or donning eyeglasses that will soon be removed, especially if the persistence of the memory tends to match the persistence of environmental changes.

This week's study, designed to rigorously examine this question, found strong evidence that recent changes to motor memories are in fact intrinsically unstable and not strongly context dependent, suggesting each memory is applied in a range of contexts and the motor system would thus require fewer distinct memories.

The instability observed in new motor memories stands in stark contrast to the long-term stability of well-practiced skills like riding a bike. This contrast raises the critical question: how can new motor memories eventually become so stable?

All works published in PLOS Computational Biology are Open Access, which means that all content is immediately and freely available. Use this URL in your coverage to provide readers access to the paper upon publication: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004278

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Contact:

Maurice Smith
mas@deas.harvard.edu
617-495-9287
Harvard University, School of Engineering and Applied Sciences

Citation: Brennan AE, Smith MA (2015) The Decay of Motor Memories Is Independent of Context Change Detection. PLoS Comput Biol 11(6):e1004278.doi:10.1371/journal.pcbi.1004278

Funding: This work was supported in part by the McKnight Scholar Award, a Sloan Research Fellowship, and a grant from the National Institute of Aging (R01 AG041878) to MAS and by Natural Sciences and Engineering Research Council of Canada Postgraduate Scholarship-Doctoral to AEB. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing Interests: The authors have declared that no competing interests exist.

About PLOS Computational Biology

PLOS Computational Biology (http://www.ploscompbiol.org) features works of exceptional significance that further our understanding of living systems at all scales through the application of computational methods. All works published in PLOS Computational Biology are Open Access. All content is immediately available and subject only to the condition that the original authorship and source are properly attributed. Copyright is retained. For more information follow @PLOSCompBiol on Twitter or contact ploscompbiol@plos.org.

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