title: Context-dependent decay of motor memories during skill acquisition.
abstract: Current models of motor learning posit that skill acquisition involves both the formation and decay of multiple motor memories that can be engaged in different contexts. Memory formation is assumed to be context dependent, so that errors most strongly update motor memories associated with the current context. In contrast, memory decay is assumed to be context independent, so that movement in any context leads to uniform decay across all contexts. We demonstrate that for both object manipulation and force-field adaptation, contrary to previous models, memory decay is highly context dependent. We show that the decay of memory associated with a given context is greatest for movements made in that context, with more distant contexts showing markedly reduced decay. Thus, both memory formation and decay are strongest for the current context. We propose that this apparently paradoxical organization provides a mechanism for optimizing performance. While memory decay tends to reduce force output, memory formation can correct for any errors that arise, allowing the motor system to regulate force output so as to both minimize errors and avoid unnecessary energy expenditure. The motor commands for any given context thus result from a balance between memory formation and decay, while memories for other contexts are preserved.
authors.affiliation: Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK. jni20@cam.ac.uk
authors.forename: James N
authors.initials: JN
authors.lastname: Ingram
authors.forename: J Randall
authors.initials: JR
authors.lastname: Flanagan
authors.forename: Daniel M
authors.initials: DM
authors.lastname: Wolpert
mesh_terms: D000222:Adaptation, Physiological / Q000502:physiology; D006801:Humans; D007858:Learning / Q000502:physiology*; D008568:Memory / Q000502:physiology*; D009043:Motor Activity / Q000502:physiology; D009048:Motor Skills; D011597:Psychomotor Performance / Q000502:physiology*