Literature DB >> 21969693

Is there a 'plenhaptic' function?

Vincent Hayward1.   

Abstract

One approach to gauge the complexity of the computational problem underlying haptic perception is to determine the number of dimensions needed to describe it. In vision, the number of dimensions can be estimated to be seven. This observation raises the question of what is the number of dimensions needed to describe touch. Only with certain simplified representations of mechanical interactions can this number be estimated, because it is in general infinite. Organisms must be sensitive to considerably reduced subsets of all possible measurements. These reductions are discussed by considering the sensing apparatuses of some animals and the underlying mechanisms of two haptic illusions.

Mesh:

Year:  2011        PMID: 21969693      PMCID: PMC3172594          DOI: 10.1098/rstb.2011.0150

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  27 in total

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Journal:  Anat Rec       Date:  1954-08

2.  Trajectory of contact region on the fingerpad gives the illusion of haptic shape.

Authors:  Hanifa Dostmohamed; Vincent Hayward
Journal:  Exp Brain Res       Date:  2005-05-10       Impact factor: 1.972

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Journal:  J Exp Psychol       Date:  1967-06

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Authors:  Y Naitoh; R Eckert
Journal:  Science       Date:  1969-05-23       Impact factor: 47.728

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Journal:  J Acoust Soc Am       Date:  1989-05       Impact factor: 1.840

6.  Encoding of object curvature by tactile afferents from human fingers.

Authors:  A W Goodwin; V G Macefield; J W Bisley
Journal:  J Neurophysiol       Date:  1997-12       Impact factor: 2.714

7.  Metamers in the haptic perception of heaviness and moveableness.

Authors:  Kevin Shockley; Claudia Carello; M T Turvey
Journal:  Percept Psychophys       Date:  2004-07

8.  The three-dimensional microanatomy of Meissner corpuscles in monkey palmar skin.

Authors:  Hiromi Takahashi-Iwanaga; Hiroshi Shimoda
Journal:  J Neurocytol       Date:  2003-05

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Authors:  V S Gurfinkel
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

10.  The visual and haptic perception of natural object shape.

Authors:  J Farley Norman; Hideko F Norman; Anna Marie Clayton; Joann Lianekhammy; Gina Zielke
Journal:  Percept Psychophys       Date:  2004-02
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  10 in total

Review 1.  Modelling natural and artificial hands with synergies.

Authors:  Antonio Bicchi; Marco Gabiccini; Marco Santello
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-11-12       Impact factor: 6.237

2.  Active touch sensing.

Authors:  Tony J Prescott; Mathew E Diamond; Alan M Wing
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-11-12       Impact factor: 6.237

Review 3.  Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands.

Authors:  Marco Santello; Matteo Bianchi; Marco Gabiccini; Emiliano Ricciardi; Gionata Salvietti; Domenico Prattichizzo; Marc Ernst; Alessandro Moscatelli; Henrik Jörntell; Astrid M L Kappers; Kostas Kyriakopoulos; Alin Albu-Schäffer; Claudio Castellini; Antonio Bicchi
Journal:  Phys Life Rev       Date:  2016-02-03       Impact factor: 11.025

4.  The brain uses extrasomatic information to estimate limb displacement.

Authors:  Alexander V Terekhov; Vincent Hayward
Journal:  Proc Biol Sci       Date:  2015-09-07       Impact factor: 5.349

5.  Spatio-temporal skin strain distributions evoke low variability spike responses in cuneate neurons.

Authors:  Vincent Hayward; Alexander V Terekhov; Sheng-Chao Wong; Pontus Geborek; Fredrik Bengtsson; Henrik Jörntell
Journal:  J R Soc Interface       Date:  2014-01-22       Impact factor: 4.118

6.  A Human-Robot Interaction Perspective on Assistive and Rehabilitation Robotics.

Authors:  Philipp Beckerle; Gionata Salvietti; Ramazan Unal; Domenico Prattichizzo; Simone Rossi; Claudio Castellini; Sandra Hirche; Satoshi Endo; Heni Ben Amor; Matei Ciocarlie; Fulvio Mastrogiovanni; Brenna D Argall; Matteo Bianchi
Journal:  Front Neurorobot       Date:  2017-05-23       Impact factor: 2.650

7.  Efficient tactile encoding of object slippage.

Authors:  Laurence Willemet; Nicolas Huloux; Michaël Wiertlewski
Journal:  Sci Rep       Date:  2022-08-01       Impact factor: 4.996

8.  Segregation of tactile input features in neurons of the cuneate nucleus.

Authors:  Henrik Jörntell; Fredrik Bengtsson; Pontus Geborek; Anton Spanne; Alexander V Terekhov; Vincent Hayward
Journal:  Neuron       Date:  2014-08-28       Impact factor: 17.173

9.  Haptic Edge Detection Through Shear.

Authors:  Jonathan Platkiewicz; Hod Lipson; Vincent Hayward
Journal:  Sci Rep       Date:  2016-03-24       Impact factor: 4.379

10.  Intracellular Dynamics in Cuneate Nucleus Neurons Support Self-Stabilizing Learning of Generalizable Tactile Representations.

Authors:  Udaya B Rongala; Anton Spanne; Alberto Mazzoni; Fredrik Bengtsson; Calogero M Oddo; Henrik Jörntell
Journal:  Front Cell Neurosci       Date:  2018-07-31       Impact factor: 5.505

  10 in total

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