Functional Microanatomical Model of Meissner Corpuscle

Vodlak, Teja; Vidrih, Zlatko; Pirih, Primož; Škorjanc, Aleš; Prešern, Janez; Rodič, Tomaž

doi:10.1007/978-3-662-44196-1_46

Cited by 7 publications

(8 citation statements)

References 12 publications

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“…the time between stimulus onset and the first spike, provides reliable information about direction of fingertip force and object shape faster than rate codes, especially in the case of RA-I afferents. The transformation from SED into firing rate (spikes/time) has been conducted somewhere for SA-I receptors [17] or single RA-I receptor [9]. Those models employ a leaky integrate and fire model to predict the neural spikes and spike times, which results in a good fit to experimental data.…”

Section: Discussionmentioning

confidence: 99%

“…are described in better details, for instance, the full model of a fingertip in [9]. Because each dermal papilla was fixed at the size of 0.11 mm × 0.11 mm, the calculation could become extremely time-consuming (along with the increased number of dermal papillae) for a larger model.…”

Section: Discussionmentioning

confidence: 99%

“…The 2D model assumes an unre-alistic identical geometry along the depth direction, thus it is insufficient for investigating the population response of RA-I receptors. Some recent 3D models [9], [10] attempted to implement the realistic morphology of Meissner corpuscle (ending organ of RA-I afferents). Because of the extreme complexity of Meissner corpuscle, i.e.…”

Section: Introductionmentioning

confidence: 99%

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An FE Simulation Study on Population Response of RA-I Mechanoreceptor to Different Widths of Square Indenter

Pham

Hoshi

Tanaka

et al. 2017

SICE Journal of Control, Measurement, and System Integration

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: Rapid adapting type-I (RA-I) receptor is one type of mechanoreceptors in the human skin. They are believed to be responsible for the detection of stimuli that produce minute skin motion (flutter, slip, microgeometric surface features). The neurophysiological experiments in the paper [J.R. Phillips et al. J. Neurophysiol., Vol. 46, pp. 1192-1203] raise a question about why the RA-I afferent (innervated into RA-I receptor) fails to represents the stimulus with the width less than 3 mm and why their response is anisotropy. It is unclear whether the skin's mechanics or the specific afferent branching of mechanoreceptors themselves are accounted for these phenomena. The present work seeks an interpretation of the neurophysiological phenomena, using a biomechanical finite-element (FE) model with a transduction sub-layer and synthetic sub-model for afferent current. The predicted afferent current matched well with the neural recordings in previous reports. This result suggests a major role of afferent branching in regard to the neurophysiological phenomena.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An FE Simulation Study on Population Response of RA-I Mechanoreceptor to Different Widths of Square Indenter

Pham

Hoshi

Tanaka

et al. 2017

SICE Journal of Control, Measurement, and System Integration

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“…FEM simulations of tactile scenarios Previous finite element studies of human touch mostly include two or three dimensional modelling of finger pad exploration of real surfaces on tribological [16,17] as well as neuro-mechanical levels or vibratory stimulations [18][19][20]. Abdolvahab [21] simulated the "squeeze film" effect, by comparing sliding of a finger pad over a real edge and a surface with varying friction coefficient.…”

Section: Input Friction Datamentioning

confidence: 99%

“…The multi-physics computational framework used in this work is capable of simulating friction modulation due to electrostatic attraction directly from applied voltage signal in the haptic display, without changing the friction properties of the surface. Current work employs a 2D version of previously developed framework validated with experimental data [20,17] as it is very useful for parametric studies in parallel to the computationally intensive 3D model. The framework was used here mainly in order to generate friction profiles µ RS (r) for CAE database for three simple RS, i.e.…”

Section: Input Friction Datamentioning

confidence: 99%

Electrovibration Signal Design

Vidrih

Vezzoli²

2016

Haptics: Perception, Devices, Control, and Applications

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Electrovibration technique can modify user's perception of a surface through the modulation of the sliding friction accordingly to the voltage applied. This paper is introducing a novel approach to virtual haptic rendering in electrovibration based haptic displays in order to provide realistic feeling of a simulated surface, where the required voltage signal is obtained using a simplified equation. The approach was validated by the use of a finite element computational framework able to simulate tactile scenarios on real and virtual surfaces. A database of precompiled tactile scenarios was generated to predict outputs for custom parametric surfaces through a conditional average estimator method. In addition, an experimental database obtained by active exploration of different surfaces, is utilised for texture rendering. A web application, comprising the algorithms described in the paper, has also been developed, and is freely available to use at http://www.haptictexture.com.

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