Motor invariants in action execution and perception

Torricelli, Francesco; Tomassini, Alice; Pezzulo, Giovanni; Pozzo, Thierry; Fadiga, Luciano; D’Ausilio, Alessandro

doi:10.1016/j.plrev.2022.11.003

Cited by 19 publications

(18 citation statements)

References 364 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Smooth and accurate movements are generally a hallmark of effective interactions with the world and other social partners. According to some influential accounts, such as the minimum-jerk model [1], motor control processes are believed to minimize the rate of change in end-effector acceleration, making human movement characterized by overall smooth endpoint trajectories [2]. Yet, when observed with the appropriate magnifying lens, these movements are not perfectly smooth.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The microstructure of intra- and interpersonal coordination

Nazzaro,

Emanuele,

Laroche

et al. 2023

Proc. R. Soc. B.

Self Cite

View full text Add to dashboard Cite

Movements are naturally composed of submovements, i.e. recurrent speed pulses (2–3 Hz), possibly reflecting intermittent feedback-based motor adjustments. In visuomotor (unimanual) synchronization tasks, partners alternate submovements over time, indicating mutual coregulation. However, it is unclear whether submovement coordination is organized differently between and within individuals. Indeed, different types of information may be variably exploited for intrapersonal and interpersonal coordination. Participants performed a series of bimanual tasks alone or in pairs, with or without visual feedback (solo task only). We analysed the relative timing of submovements between their own hands or between their own hands and those of their partner. Distinct coordinative structures emerged at the submovement level depending on the relevance of visual feedback. Specifically, the relative timing of submovements (between partners/effectors) shifts from alternation to simultaneity and a mixture of both when coordination is achieved using vision (interpersonal), proprioception/efference-copy only (intrapersonal, without vision) or all information sources (intrapersonal, with vision), respectively. These results suggest that submovement coordination represents a behavioural proxy for the adaptive weighting of different sources of information within action-perception loops. In sum, the microstructure of movement reveals common principles governing the dynamics of sensorimotor control to achieve both intra- and interpersonal coordination.

show abstract

Section: Introductionmentioning

confidence: 99%

“…This specific equilibrium could result from: (1) intrinsic dynamics within the motor system (e.g. [20,21]), (2) inherent or extrinsic delays affecting visual processing of partner movements (e.g. [7,11]) or, more likely, (3) an interaction between both factors [13].…”

Section: Introductionmentioning

confidence: 99%

The microstructure of intra- and interpersonal coordination

Nazzaro,

Emanuele,

Laroche

et al. 2023

Proc. R. Soc. B.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The reaching component of our task can be broken down into two functionally separable components - feedforward and feedback phases. The transition between these phases is demarcated by the end-point (i.e., wrist) transport deceleration peak 57 . Therefore, we re-examined motor noise when the data is split into these two phases.…”

Section: Resultsmentioning

confidence: 99%

“…It is well known in the literature that reaching actions can be characterized by two phases [52][53][54][55][56][57][58] : 1) a first feedforward phase defined by the first deceleration peak after the max peak velocity, and 2) a subsequent feedback phase preceding the grasping of the object (Fig 4A). These phases are thought to be underpinned by distinct neurocomputational mechanisms and thus are important to separate and examine for differences between autism motor subtypes.…”

Section: Examining Motor Noise During Feedforward and Feedback Phases...mentioning

confidence: 99%

Enhanced motor noise in an autism subtype with poor motor skills

Mandelli

Landi

Ceccarelli

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Early motor difficulties are a common in many, but not all, autistic individuals. These difficulties tend to be highly present in individuals carrying rare genetic mutations with high penetrance for autism. Many of these rare genetic mechanisms also cause neurophysiological dysregulation of excitation-inhibition balance (E:I). A predicted downstream consequence of E:I imbalance in motor circuitry would translate behaviorally into enhanced motor noise - that is, increased variability in execution of motor actions. Here we tested the hypothesis that autistic individuals with the most pronounced motor difficulties would be most affected by enhanced motor noise. Unsupervised data-driven clustering on a standardized test of motor skills (n=156, age = 3-16 years) identified the presence of two robust and highly stable autism motor subtypes described by relatively intact versus highly impaired motor skills. With motor kinematics data recorded during a simple reach-to-drop task, we observed that enhanced motor noise is a specific characteristic of the autism subtype with highly impaired motor skills. Autistic individuals with poor motor skills may be differentially affected by E:I imbalance within motor circuitry.

show abstract

“…For instance, elite tennis players can predict the trajectory of a ball based on the opponent's serve movement, thereby optimizing their response (Farrow et al, 2005). One hypothesis to explain this anticipatory superiority of experts is that the motor experience enables individuals picking up the most salient and stable characteristics of movements, known as "kinematic invariants" (Torricelli et al, 2023). However, the specific computational bases remain to be elucidated.…”

Section: Introductionmentioning

confidence: 99%

Computational bases of action anticipation superiority in experts: Identifying and mapping kinematic invariants

Zhao,

wang,

et al. 2023

Preprint

View full text Add to dashboard Cite

Experts frequently demonstrate superior action anticipation within their domains. Although current hypothesis emphasis the role of kinematic invariants processing, the specific computational mechanisms remain unclear. In this study, table tennis experts and novices were recruited in two action anticipation tasks with normal and point-light displays. Using the kinematic coding framework, we established encoding and readout models to predicts actual action outcomes and subjects' choices, respectively. The results showed that experts consistently outperformed novices in both tasks. By analyzing the intersection between encoding and readout models, we found this superiority stems from experts' proficiency in identifying kinematic invariants and accurately mapping them with action outcomes. Importantly, the invariants mapping in experts showed consistency across display formats and was correlated with their professional training duration. Our work sheds light on the computational bases of the expert’s superiority of action anticipation, indicating the significant of internal models developed through sustained domain-specific experience.

show abstract

Motor invariants in action execution and perception

Cited by 19 publications

References 364 publications

The microstructure of intra- and interpersonal coordination

The microstructure of intra- and interpersonal coordination

Enhanced motor noise in an autism subtype with poor motor skills

Computational bases of action anticipation superiority in experts: Identifying and mapping kinematic invariants

Contact Info

Product

Resources

About