Literature DB >> 23649968

Predictive mechanisms in the control of contour following.

Julian J Tramper1, Martha Flanders.   

Abstract

In haptic exploration, when running a fingertip along a surface, the control system may attempt to anticipate upcoming changes in curvature in order to maintain a consistent level of contact force. Such predictive mechanisms are well known in the visual system, but have yet to be studied in the somatosensory system. Thus, the present experiment was designed to reveal human capabilities for different types of haptic prediction. A robot arm with a large 3D workspace was attached to the index fingertip and was programmed to produce virtual surfaces with curvatures that varied within and across trials. With eyes closed, subjects moved the fingertip around elliptical hoops with flattened regions or Limaçon shapes, where the curvature varied continuously. Subjects anticipated the corner of the flattened region rather poorly, but for the Limaçon shapes, they varied finger speed with upcoming curvature according to the two-thirds power law. Furthermore, although the Limaçon shapes were randomly presented in various 3D orientations, modulation of contact force also indicated good anticipation of upcoming changes in curvature. The results demonstrate that it is difficult to haptically anticipate the spatial location of an abrupt change in curvature, but smooth changes in curvature may be facilitated by anticipatory predictions.

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Mesh:

Year:  2013        PMID: 23649968      PMCID: PMC3691064          DOI: 10.1007/s00221-013-3529-x

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  28 in total

1.  Deployment of fingertip forces in tactile exploration.

Authors:  Allan M Smith; Geneviève Gosselin; Bryan Houde
Journal:  Exp Brain Res       Date:  2002-09-20       Impact factor: 1.972

Review 2.  Approaches to the study of haptic sensing.

Authors:  Denise Y P Henriques; John F Soechting
Journal:  J Neurophysiol       Date:  2005-06       Impact factor: 2.714

3.  Predicting curvilinear target motion through an occlusion.

Authors:  Leigh A Mrotek; John F Soechting
Journal:  Exp Brain Res       Date:  2006-10-12       Impact factor: 1.972

4.  A model of visually-guided smooth pursuit eye movements based on behavioral observations.

Authors:  R J Krauzlis; S G Lisberger
Journal:  J Comput Neurosci       Date:  1994-12       Impact factor: 1.621

5.  Learning curves and impact of psychomotor training on performance in simulated colonoscopy: a randomized trial using a virtual reality endoscopy trainer.

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Journal:  Surg Endosc       Date:  2004-08-26       Impact factor: 4.584

6.  Trajectory determines movement dynamics.

Authors:  P Viviani; C Terzuolo
Journal:  Neuroscience       Date:  1982-02       Impact factor: 3.590

7.  Haptic feature extraction.

Authors:  John F Soechting; Weilai Song; Martha Flanders
Journal:  Cereb Cortex       Date:  2005-10-12       Impact factor: 5.357

8.  Somatosensory comparison during haptic tracing.

Authors:  Erica J Weiss; Martha Flanders
Journal:  Cereb Cortex       Date:  2010-06-11       Impact factor: 5.357

9.  The proprioceptive map of the arm is systematic and stable, but idiosyncratic.

Authors:  Liliana Rincon-Gonzalez; Christopher A Buneo; Stephen I Helms Tillery
Journal:  PLoS One       Date:  2011-11-16       Impact factor: 3.240

10.  The interaction of bayesian priors and sensory data and its neural circuit implementation in visually guided movement.

Authors:  Jin Yang; Joonyeol Lee; Stephen G Lisberger
Journal:  J Neurosci       Date:  2012-12-05       Impact factor: 6.167

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  6 in total

Review 1.  Whisking mechanics and active sensing.

Authors:  Nicholas E Bush; Sara A Solla; Mitra Jz Hartmann
Journal:  Curr Opin Neurobiol       Date:  2016-09-13       Impact factor: 6.627

2.  Familiar trajectories facilitate the interpretation of physical forces when intercepting a moving target.

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Journal:  Exp Brain Res       Date:  2014-08-21       Impact factor: 1.972

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Authors:  Myrka Zago; Adam Matic; Tamar Flash; Alex Gomez-Marin; Francesco Lacquaniti
Journal:  Exp Brain Res       Date:  2017-10-25       Impact factor: 1.972

4.  Hand interception of occluded motion in humans: a test of model-based vs. on-line control.

Authors:  Barbara La Scaleia; Myrka Zago; Francesco Lacquaniti
Journal:  J Neurophysiol       Date:  2015-07-01       Impact factor: 2.714

5.  Drawing ellipses in water: evidence for dynamic constraints in the relation between velocity and path curvature.

Authors:  Giovanna Catavitello; Yuri P Ivanenko; Francesco Lacquaniti; Paolo Viviani
Journal:  Exp Brain Res       Date:  2016-02-02       Impact factor: 1.972

6.  Haptic Perception in Extreme Obesity: qEEG Study Focused on Predictive Coding and Body Schema.

Authors:  Giuditta Gambino; Giuseppe Giglia; Girolamo Schiera; Danila Di Majo; Maria Stella Epifanio; Sabina La Grutta; Rosa Lo Baido; Giuseppe Ferraro; Pierangelo Sardo
Journal:  Brain Sci       Date:  2020-11-25
  6 in total

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