Neural Coding Mechanisms Underlying Perceived Roughness of Finely Textured Surfaces

Yoshioka, Takashi; Gibb, Barbara; Dorsch, Andrew; Hsiao, Steven S.; Johnson, Kenneth O.

doi:10.1523/jneurosci.21-17-06905.2001

Cited by 162 publications

(120 citation statements)

References 32 publications

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“…psychophysics | somatosensory cortex | vibration | whisker | finger A n effective approach to uncover how neuronal activity leads to sensation is to vary stimulation parameters while correlating changes in firing with changes in the percept (1)(2)(3)(4)(5). In the present work, we measured changes in neuronal activity in rat somatosensory ("barrel") cortex induced by variation in vibration parameters and correlated these changes with perceptual reports from human subjects.…”

mentioning

confidence: 96%

Correlated physiological and perceptual effects of noise in a tactile stimulus

Lak

Arabzadeh²,

Harris³

et al. 2010

Proc. Natl. Acad. Sci. U.S.A.

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We investigated connections between the physiology of rat barrel cortex neurons and the sensation of vibration in humans. One set of experiments measured neuronal responses in anesthetized rats to trains of whisker deflections, each train characterized either by constant amplitude across all deflections or by variable amplitude ("amplitude noise"). Firing rate and firing synchrony were, on average, boosted by the presence of noise. However, neurons were not uniform in their responses to noise. Barrel cortex neurons have been categorized as regular-spiking units (putative excitatory neurons) and fast-spiking units (putative inhibitory neurons). Among regular-spiking units, amplitude noise caused a higher firing rate and increased cross-neuron synchrony. Among fast-spiking units, noise had the opposite effect: It led to a lower firing rate and decreased cross-neuron synchrony. This finding suggests that amplitude noise affects the interaction between inhibitory and excitatory neurons. From these physiological effects, we expected that noise would lead to an increase in the perceived intensity of a vibration. We tested this notion using psychophysical measurements in humans. As predicted, subjects overestimated the intensity of noisy vibrations. Thus the physiological mechanisms present in barrel cortex also appear to be at work in the human tactile system, where they affect vibration perception.psychophysics | somatosensory cortex | vibration | whisker | finger A n effective approach to uncover how neuronal activity leads to sensation is to vary stimulation parameters while correlating changes in firing with changes in the percept (1-5). In the present work, we measured changes in neuronal activity in rat somatosensory ("barrel") cortex induced by variation in vibration parameters and correlated these changes with perceptual reports from human subjects. The stimuli in the two cases were trains of whisker and skin vibration, respectively.Isolated neurons respond more robustly to unpredictable (noisy) patterns of electrical stimulation than to repeating, periodic patterns (6) or constant inputs (7). Synaptic transmission also can be enhanced by noise (8). In a recent study of the effects of stimulus noise in rat barrel cortex, we found that whisker vibration trains containing temporal noise (irregularity in the sequence of interdeflection intervals) evoked a larger and more synchronous cortical response than did periodic vibration trains (9). In the present work, to verify that response amplification by noise is a general property of the sensory system, we explored another stimulus feature: We compared cortical responses to trains that had constant amplitude vs. trains that had varying amplitude. We then investigated the perceptual impact of noise using psychophysical experiments in humans. We predicted that noise, by enhancing neuronal firing rates and/or firing synchrony in somatosensory cortex, would produce a systematic bias in the perceived intensity of noisy vibrations compared with noise-free vibrations. Resu...

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mentioning

confidence: 96%

Correlated physiological and perceptual effects of noise in a tactile stimulus

Lak

Arabzadeh²,

Harris³

et al. 2010

Proc. Natl. Acad. Sci. U.S.A.

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“…The findings of Lederman and Taylor [13] and Yoshioka et al [14] show that the haptic perception of roughness depends mainly on the groove width and ridge width, therefore these were individually varies. For the structure of the geometric surfaces, lines and diamond shapes were chosen (see Table1) because their shapes are typical for leather surfaces.…”

Section: -P2mentioning

confidence: 96%

“…The result of their studies was, that the same neural mechanism accounts the perceived roughness weather is a fine or a coarse surface. [14] In summary of all of those studies there is no method that sufficiently relates human perception of roughness to physical parameters of the materials. In order to achieve a proper method, descriptors had to be found that are the most meaningful for the characterization.…”

Section: State Of Researchmentioning

confidence: 99%

Correlation of the Haptic Perception and Technical Parameter

Neumann¹,

Schmitt²

2015

17th International Congress of Metrology

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Abstract.A priori knowledge of the customer's perception of a product is a precondition to reduce efforts in product development and therefore diminish costs. This paper presents the results of a study analyzing the correlation between the haptic perception of surfaces and the technical measured parameters using the example of roughness. A methodology has been developed that allows objectifying specific haptic quality characteristics. Important impacts on the perception are the structure and the material of the surfaces. Three experimental studies have been conducted to investigate specific characteristics of haptic perception. The first study examines the different haptic perceptions regarding different geometrical surface structures, assuming that the subjects are able to differentiate geometrical surfaces with different technical parameters. The second experiment studies the perceived haptic relation between two surfaces that have the same technical roughness, but differ in surface structure. The structure types can be differentiated in natural (stochastic, e.g. leather) and in artificial (geometrical) surfaces. The third study concerns the hedonic evaluation of previously analyzed natural and geometrical surfaces to identify the preferences of the customer. The presented findings enable the application of the methodology in terms of customer orientated product development. Résumé. A priori la connaissance de la perception du client d'un produit est une condition préalable pour réduire les efforts dans le développement de produits et donc de diminuer les coûts. Cet article présente les résultats d'une étude analysant la corrélation entre la perception haptique des surfaces et les paramètres mesurés techniques utilisant l'exemple de la rugosité. Une méthodologie a été développée qui permet d'objectiver les caractéristiques spécifiques de la qualité haptiques. Des impacts importants sur la perception sont la structure et le matériau des surfaces. Trois études expérimentales ont été réalisées pour étudier les caractéristiques spécifiques de la perception haptique. La première étude examine les différentes perceptions haptiques concernant différentes structures de surface géométriques, en supposant que les sujets sont capables de différencier les surfaces géométriques avec différents paramètres techniques. La deuxième expérience étudie la relation perçue haptique entre deux surfaces qui ont la même rugosité technique, mais qui diffèrent par la structure de surface. Les types de structure peuvent être différenciées en naturel (stochastique, par exemple, cuir) et artificiels (surfaces géométriques). La troisième étude concerne l'évaluation hédonique des surfaces naturelles et géométriques précédemment analysés pour identifier les préférences du client. Les résultats présentés permettent l'application de la méthodologie en termes de client orienté le développement de produits.

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“…The rotating drum has been used to scan various types of raised patterns across the glabrous skin of both monkeys (Connor et al, 1990;Connor and Johnson, 1992;Blake et al, 1997;DiCarlo et al, 1998;DiCarlo and Johnson, 1999Yoshioka et al, 2001), in neurophysiological experiments, and humans in psychophysical and percutaneous recording experiments (Phillips et al, 1992). Stimuli such as raised letters and textured surfaces are mounted on a drum; the drum is brought in contact with the skin and rotated.…”

Section: Previous Devicesmentioning

confidence: 99%

“…By moving the drum in small increments laterally, a spatial pattern can be moved across the fingerpad while single-unit recordings are made. Recordings of both peripheral (Connor et al, 1990;Connor and Johnson, 1992;Blake et al, 1997;Yoshioka et al, 2001) and central DiCarlo et al, 1998;Johnson, 1999, 2002) neurons have been made with this device. The same spatial patterns can be presented to human observers in psychophysical tasks in which they are asked to identify the patterns.…”

Section: Previous Devicesmentioning

confidence: 99%

A dense array stimulator to generate arbitrary spatio-temporal tactile stimuli

Killebrew

Bensmaı̈a

Dammann

et al. 2007

Journal of Neuroscience Methods

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The generation and presentation of tactile stimuli presents a unique challenge. Unlike vision and audition, in which standard equipment such as monitors and audio systems can be used for most experiments, tactile stimuli and/or stimulators often have to be tailor-made for a given study. Here, we present a novel tactile stimulator designed to present arbitrary spatio-temporal stimuli to the skin. The stimulator consists of 400 pins, arrayed over a 1 cm 2 area, each under independent computer control. The dense array allows for an unprecedented number of stimuli to be presented within an experimental session (e.g., up to 1200 stimuli per minute) and for stimuli to be generated adaptively. The stimulator can be used in a variety of modes and can deliver indented and scanned patterns as well as stimuli defined by mathematical spatio-temporal functions (e.g., drifting sinusoids). We describe the hardware and software of the system, and discuss previous and prospective applications.

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Neural Coding Mechanisms Underlying Perceived Roughness of Finely Textured Surfaces

Cited by 162 publications

References 32 publications

Correlated physiological and perceptual effects of noise in a tactile stimulus

Correlated physiological and perceptual effects of noise in a tactile stimulus

Correlation of the Haptic Perception and Technical Parameter

A dense array stimulator to generate arbitrary spatio-temporal tactile stimuli

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