Combining modalities with different latencies for optimal motor control.

Journal of Cognitive Neuroscience
Fredrik BissmarckO Hikosaka

Abstract

Feedback signals may be of different modality, latency, and accuracy. To learn and control motor tasks, the feedback available may be redundant, and it would not be necessary to rely on every accessible feedback loop. Which feedback loops should then be utilized? In this article, we propose that the latency is a critical factor to determine which signals will be influential at different learning stages. We use a computational framework to study the role of feedback modules with different latencies in optimal motor control. Instead of explicit gating between modules, the reinforcement learning algorithm learns to rely on the more useful module. We tested our paradigm for two different implementations, which confirmed our hypothesis. In the first, we examined how feedback latency affects the competitiveness of two identical modules. In the second, we examined an example of visuomotor sequence learning, where a plastic, faster somatosensory module interacts with a preacquired, slower visual module. We found that the overall performance depended on the latency of the faster module alone, whereas the relative latency determines the independence of the faster from the slower. In the second implementation, the somatosensory module wit...Continue Reading

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Citations

Oct 15, 2013·Journal of Motor Behavior·Ashvin ShahAndrew H Fagg
Apr 11, 2012·The European Journal of Neuroscience·Amir Dezfouli, Bernard W Balleine
Dec 17, 2014·Frontiers in Computational Neuroscience·Ashvin Shah, Kevin N Gurney
Mar 1, 2013·Perspectives on Psychological Science : a Journal of the Association for Psychological Science·Martin E P SeligmanChandra Sripada

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