From neural noise to co-adaptability: Rethinking the multifaceted architecture of motor variability

被引:9
作者
Casartelli, Luca [1 ]
Maronati, Camilla [2 ]
Cavallo, Andrea [2 ,3 ]
机构
[1] Sci Inst IRCCS E MEDEA, Theoret & Cognit Neurosci Unit, Rome, Italy
[2] Univ Torino, Dept Psychol, Move N Brains Lab, Turin, Italy
[3] Fdn Ist Italiano Tecnol, CMoN Unit, Genoa, Italy
关键词
Co-adaptability; Learning; Joint action; Movement kinematics; Motor neuroscience; Motor variability neural variability; Plasticity; Predictive coding; Rehabilitation; Theoretical modeling; INFORMATION-LIMITING CORRELATIONS; VITALITY FORM RECOGNITION; TO-TRIAL VARIABILITY; MOVEMENT VARIABILITY; MIRROR NEURONS; INDIVIDUAL-DIFFERENCES; PREDICTIVE BRAINS; JOINT ACTION; WALKING; CIRCUIT;
D O I
10.1016/j.plrev.2023.10.036
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In the last decade, the source and the functional meaning of motor variability have attracted considerable attention in behavioral and brain sciences. This construct classically combined different levels of description, variable internal robustness or coherence, and multifaceted operational meanings. We provide here a comprehensive review of the literature with the primary aim of building a precise lexicon that goes beyond the generic and monolithic use of motor variability. In the pars destruens of the work, we model three domains of motor variability related to peculiar computational elements that influence fluctuations in motor outputs. Each domain is in turn characterized by multiple sub-domains. We begin with the domains of noise and differ-entiation. However, the main contribution of our model concerns the domain of adaptability, which refers to variation within the same exact motor representation. In particular, we use the terms learning and (social)fitting to specify the portions of motor variability that depend on our propensity to learn and on our largely constitutive propensity to be influenced by external factors. A particular focus is on motor variability in the context of the sub-domain named co-adaptability. Further groundbreaking challenges arise in the modeling of motor variability. Therefore, in a separate pars construens, we attempt to characterize these challenges, addressing both theoretical and experimental aspects as well as potential clinical implications for neurorehabilitation. All in all, our work suggests that motor variability is neither simply detrimental nor beneficial, and that studying its fluctuations can provide meaningful insights for future research.
引用
收藏
页码:245 / 263
页数:19
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