Literature DB >> 24371296

Haptic feedback enhances rhythmic motor control by reducing variability, not improving convergence rate.

M Mert Ankarali1, H Tutkun Sen, Avik De, Allison M Okamura, Noah J Cowan.   

Abstract

Stability and performance during rhythmic motor behaviors such as locomotion are critical for survival across taxa: falling down would bode well for neither cheetah nor gazelle. Little is known about how haptic feedback, particularly during discrete events such as the heel-strike event during walking, enhances rhythmic behavior. To determine the effect of haptic cues on rhythmic motor performance, we investigated a virtual paddle juggling behavior, analogous to bouncing a table tennis ball on a paddle. Here, we show that a force impulse to the hand at the moment of ball-paddle collision categorically improves performance over visual feedback alone, not by regulating the rate of convergence to steady state (e.g., via higher gain feedback or modifying the steady-state hand motion), but rather by reducing cycle-to-cycle variability. This suggests that the timing and state cues afforded by haptic feedback decrease the nervous system's uncertainty of the state of the ball to enable more accurate control but that the feedback gain itself is unaltered. This decrease in variability leads to a substantial increase in the mean first passage time, a measure of the long-term metastability of a stochastic dynamical system. Rhythmic tasks such as locomotion and juggling involve intermittent contact with the environment (i.e., hybrid transitions), and the timing of such transitions is generally easy to sense via haptic feedback. This timing information may improve metastability, equating to less frequent falls or other failures depending on the task.

Entities:  

Keywords:  haptics; juggling; limit cycle; metastability; multisensory integration

Mesh:

Year:  2013        PMID: 24371296     DOI: 10.1152/jn.00140.2013

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  6 in total

1.  Walking dynamics are symmetric (enough).

Authors:  M Mert Ankaralı; Shahin Sefati; Manu S Madhav; Andrew Long; Amy J Bastian; Noah J Cowan
Journal:  J R Soc Interface       Date:  2015-07-06       Impact factor: 4.118

2.  Model of rhythmic ball bouncing using a visually controlled neural oscillator.

Authors:  Guillaume Avrin; Isabelle A Siegler; Maria Makarov; Pedro Rodriguez-Ayerbe
Journal:  J Neurophysiol       Date:  2017-08-09       Impact factor: 2.714

3.  Implicit guidance to stable performance in a rhythmic perceptual-motor skill.

Authors:  Meghan E Huber; Dagmar Sternad
Journal:  Exp Brain Res       Date:  2015-03-28       Impact factor: 1.972

4.  Augmenting sensorimotor control using "goal-aware" vibrotactile stimulation during reaching and manipulation behaviors.

Authors:  Emmanouil Tzorakoleftherakis; Todd D Murphey; Robert A Scheidt
Journal:  Exp Brain Res       Date:  2016-04-13       Impact factor: 1.972

5.  Development of information-movement couplings in a rhythmical ball-bouncing task: from space- to time-related information.

Authors:  C Bazile; N Benguigui; I A Siegler
Journal:  Exp Brain Res       Date:  2015-09-26       Impact factor: 1.972

Review 6.  Upper Limb Home-Based Robotic Rehabilitation During COVID-19 Outbreak.

Authors:  Hemanth Manjunatha; Shrey Pareek; Sri Sadhan Jujjavarapu; Mostafa Ghobadi; Thenkurussi Kesavadas; Ehsan T Esfahani
Journal:  Front Robot AI       Date:  2021-05-24
  6 in total

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