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Computational Neuroscience Journal Club

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If you have a question about this talk, please contact Dr Jean-Pascal Pfister .

Jame Ingram will present

Interacting Adaptive Processes with Different Timescales Underlie Short-Term Motor Learning

Smith MA, Ghazizadeh A, Shadmehr R (2006). PLoS Biol 4(6): e179.

www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.0040179

Multiple processes may contribute to motor skill acquisition, but it is thought that many of these processes require sleep or the passage of long periods of time ranging from several hours to many days or weeks. Here we demonstrate that within a timescale of minutes, two distinct fast-acting processes drive motor adaptation. One process responds weakly to error but retains information well, whereas the other responds strongly but has poor retention. This two-state learning system makes the surprising prediction of spontaneous recovery (or adaptation rebound) if error feedback is clamped at zero following an adaptation-extinction training episode. We used a novel paradigm to experimentally confirm this prediction in human motor learning of reaching, and we show that the interaction between the learning processes in this simple two-state system provides a unifying explanation for several different, apparently unrelated, phenomena in motor adaptation including savings, anterograde interference, spontaneous recovery, and rapid unlearning. Our results suggest that motor adaptation depends on at least two distinct neural systems that have different sensitivity to error and retain information at different rates.

This talk is part of the Computational Neuroscience series.

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