Multiple motor memories are learned to control different points on a tool
Autor: | Heald, James B, Ingram, James N, Flanagan, J Randall, Wolpert, Daniel M |
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Přispěvatelé: | Heald, James B [0000-0002-7293-7914], Ingram, James N [0000-0003-2567-504X], Flanagan, J Randall [0000-0003-2760-6005], Wolpert, Daniel M [0000-0003-2011-2790], Apollo - University of Cambridge Repository |
Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Social Psychology 1.2 Psychological and socioeconomic processes Computer science 1.1 Normal biological development and functioning Association (object-oriented programming) 5202 Biological Psychology Experimental and Cognitive Psychology Basic Behavioral and Social Science Article 03 medical and health sciences Behavioral Neuroscience 0302 clinical medicine Clinical Research Human–computer interaction Behavioral and Social Science Motor system 1 Underpinning research Control (linguistics) Point (typography) Base (topology) Object (computer science) 030104 developmental biology 52 Psychology Neurological Control point Mental health Motor learning 030217 neurology & neurosurgery |
Zdroj: | Nature human behaviour |
ISSN: | 2397-3374 |
DOI: | 10.1038/s41562-018-0324-5 |
Popis: | Skilful object manipulation requires learning the dynamics of objects, linking applied force to motion1,2. This involves the formation of a motor memory3,4, which has been assumed to be associated with the object, independent of the point on the object that one chooses to control. Importantly, in manipulation tasks, different control points on an object, such as the rim of a cup when drinking or its base when setting it down, can be associated with distinct dynamics. Here, we show that opposing dynamic perturbations, which interfere when controlling a single location on an object, can be learned when each is associated with a separate control point. This demonstrates that motor memory formation is linked to control points on the object, rather than the object per se. We also show that the motor system only generates separate memories for different control points if they are linked to different dynamics, allowing efficient use of motor memory. To account for these results, we develop a normative switching state-space model of motor learning, in which the association between cues (control points) and contexts (dynamics) is learned rather than fixed. Our findings uncover an important mechanism through which the motor system generates flexible and dexterous behaviour. Different parts of tools are often handled in different ways. This study presents a computational model explaining how humans build separate motor memories for different parts of the same objects. |
Databáze: | OpenAIRE |
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