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The Neural Coding of Stimulus Intensity: Linking the Population Response of Mechanoreceptive Afferents with Psychophysical Behavior
Open accessAbstract
How specific aspects of a stimulus are encoded at different stages of neural processing is a critical question in sensory neuroscience. In the present study, we investigated the neural code underlying the perception of stimulus intensity in the somatosensory system. We first characterized the responses of SA1 (slowly adapting type 1), RA (rapidly adapting), and PC (Pacinian) afferents of macaque monkeys to sinusoidal, diharmonic, and bandpass noise stimuli. We then had human subjects rate the perceived intensity of a subset of these stimuli. On the basis of these neurophysiological and psychophysical measurements, we evaluated a series of hypotheses about which aspect(s) of the neural activity evoked at the somatosensory periphery account for perception. We evaluated three types of neural codes. The first consisted of population codes based on the firing rate of neurons located directly under the probe. The second included population codes based on the firing rate of the entire population of active neurons. The third included codes based on the number of active afferents. We found that the response evoked in the localized population is logarithmic with stimulus amplitude (given a constant frequency composition), whereas the population response across all neurons is linear with stimulus amplitude. We conclude that stimulus intensity is best accounted for by the firing rate evoked in afferents located under or near the locus of stimulation, weighted by afferent type.
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“In the intact nerve, increases in pressure result in both an increase in the number of recruited fibers and an increase in the firing rates of those fibers already recruited (Muniak et al., 2007), which explains why changes in either the delivered charge or the stimulation frequencies result in changes in perceived pressure.”
From Biomimetic approaches to bionic touch through a peripheral nerve interface (2015) · cites this paper as Muniak et al., 2007
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Citations
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Influential
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Sorted by citations
Items 101–200 of 233
Schlieper, S., & Dinse, H. R. (2011) · Brain stimulation · doi:10.1016/j.brs.2011.07.002 · Cited by 18
“Single fiber and single neuron recordings have shown that intensity variations of cutaneous stimulation are transmitted in a fairly linear fashion to the somatosensory cortex.(15,16) Recording of somatosensory evoked magnetic fields to electric stimulation of the left median nerve using weak, medium, or strong stimuli…”
BackgroundDevelopment of a Fully Flexible Sheet-Type Tactile Display Based on Electrovibration Stimulus
Ishizuka, H., Hatada, R., Cortes, C., & Miki, N. (2018) · Micromachines · doi:10.3390/mi9050230 · Cited by 18
“To provide a clear tactile sensation through the tactile display, the characteristics of these mechanoreceptors should be considered [39].”
BackgroundDelhaye, B. P., Xia, X., & Bensmaı̈a, S. J. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00002.2019 · Cited by 20
“For example, the magnitude of a tactile stimulus is encoded in population-level spike count (Graczyk et al. 2016; Muniak et al. 2007), fine surface texture or vibratory frequency is encoded in precise spiking patterns (Saal et al. 2016), and, according to the classical view, geometric features are…”
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“In contrast, the hypothesis for fine structures implies that the perceived intensity is determined by the firing rate evoked in the three main populations of mechanoreceptive afferents, weighted by afferent type [26], while their frequency composition is encoded in millisecond-precision temporal patterning in afferent…”
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A biomechanical model of Pacinian Corpuscle & Skin
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“ Considering the literature [5], [6], [7] and the dimension of PC we have selected cylindrical skin column of 1 mm diameter, isolated and perpendicular to the surface comprising of all the four skin layers, with a PC embedded in between dermis and hypodermis, as shown in Fig.”
MethodVickery, R. M., Ng, K. K. W., Potas, J. R., Shivdasani, M. N., McIntyre, S., Nagi, S. S., & Birznieks, I. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00500 · Cited by 17
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Scaling Our World View: How Monoamines Can Put Context Into Brain Circuitry
Stratmann, P., Albu‐Schäffer, A., & Jörntell, H. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00506 · Cited by 14
“However, many mechanical stimuli are known to be linearly encoded by sensory firing rates (Hensel, 1973; Davis, 1975; Rothwell, 1987; Muniak et al., 2007; Bensmaia, 2008).”
BackgroundPeripheral neurostimulation for encoding artificial somatosensations
Valle, G. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15822 · Cited by 17
A multi-digit tactile motion stimulator
Pei, Y., Lee, T.-C., Chang, T., Ruffatto, D., Spenko, M. J., & Bensmaı̈a, S. J. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.01.021 · Cited by 14
Tactile Feedback from the Hand
Bensmaı̈a, S. J., & Tillery, S. I. H. (2014) · Springer tracts in advanced robotics · doi:10.1007/978-3-319-03017-3_7 · Cited by 14
Neuromorphic Similarity Measurement of Tactile Stimuli in Human–Machine Interface
Nie, D., Liu, J., Fei, H., & Sun, X. (2022) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2022.3208740 · Cited by 14
“In addition, to verify the accuracy, applicability, and inter-pretability of our model, combined stimuli and noise are added, according to the experiment in [36].”
MethodLim, C., & Park, G. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580686 · Cited by 13
“First, we adopted the proportions of the mean firing rate from the monkeys’ data [39] because of the absence of human data.”
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Duţu, L.-C., Mauris, G. P., Bolon, P., Dabic, S., & Tissot, J.-M. (2015) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2015.2398952 · Cited by 13
“However, more recent studies [16], [17] showed that for two stimuli with rather different frequency spectra, energy alone is not sufficient to predict their perceptual dissimilarity, though it is the primarily variable influencing it.”
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Goodman, J. M., & Bensmaı̈a, S. J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-805408-6.00014-2 · Cited by 14
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“Indeed, the earlier studies showed that sensation magnitude and neural activity due to changes in vibrotactile intensity can be estimated reliably [3], [11], [32].”
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MethodInfluentialRoughness Modulation of Real Materials Using Electrotactile Augmentation
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“4 in reference [7]) The objective function for fitting parameters of the single-unit model is illustrated in the following equation.”
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“Pacinian corpuscles, which are the target of the electrovibration stimulus, are not sensitive to low-frequency vibration [29].”
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Sensory neuron activation from topical treatments modulates the sensorial perception of human skin
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Electrocorticographic changes in field potentials following natural somatosensory percepts in humans
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“revealed the frequency responses of these tactile mechanoreceptors to a vibration stim‐ ulus [36].”
BackgroundSingle tactile afferents outperform human subjects in a vibrotactile intensity discrimination task
Arabzadeh, E., Clifford, C. W. G., Harris, J. A., Mahns, D. A., Macefield, V. G., & Birznieks, I. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00482.2014 · Cited by 9
“There is substantial evidence that stimulus intensity is represented in a neuronal population code where different afferent types contribute with different weights (Bensmaia 2008; Muniak et al. 2007).”
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Okamoto, S., & Oishi, A. (2020) · IEEE Transactions on Haptics · doi:10.1109/toh.2020.2964538 · Cited by 8
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ResultFrom Biological Synapses to “Intelligent” Robots
Dresp, B. (2022) · Electronics · doi:10.3390/electronics11050707 · Cited by 11
Neural timing signal for precise tactile timing judgments
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“To see how the phase information of input stimuli could be represented in spike timing of peripheral neural responses in our experiment, we used a previously proposed simple computational model (Dong et al. 2013; see also Kim et al. 2010; Muniak et al. 2007) and predicted the timing of neural activities of tactile aff…”
MethodReal-time implementation of biofidelic SA1 model for tactile feedback
Russell, A. F., Armiger, R. S., Vogelstein, R. J., Bensmaı̈a, S. J., & Etienne‐Cummings, R. (2009) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2009.5333565 · Cited by 8
Comparing models of contrast gain using psychophysical experiments
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“…(tactile orientation, auditory frequency, etc.) also exhibit response modulation by stimulus amplitude or contrast (Barbour & Wang, 2003; Bensmaia, Denchev, Dammann, Craig, & Hsiao, 2008; Kiang, 1965; Muniak, Ray, Hsiao, Dammann, & Bensmaia, 2007; Sachs & Abbas, 1974; Sadagopan &Wang, 2008).”
A hybrid sensory feedback system for thermal nociceptive warning and protection in prosthetic hand
Xie, A., Li, C., Chou, C.-H., Li, T., Dai, C., & Lan, N. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1351348 · Cited by 7
Kim, Y., Usui, N., Miyazaki, A., Haji, T., Matsumoto, K., Taira, M., Nakamura, K., & Katsuyama, N. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2019.00052 · Cited by 7
Roughness perception in tactile channels: Evidence for an opponent process in the sense of touch
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“…the summation of sensation magnitudes across channels (Verrillo and Gescheider 1975; Marks 1979; Gescheider and Joelson 1983; Hollins and Roy 1996; Muniak et al. 2007), where judged sensation magnitude was found to be a combination of the sensation magnitudes of stimuli processed by all channels…”
BackgroundNeural Mechanisms of Tactile Perception
Hsiao, S. S., & Gomez‐Ramirez, M. (2012) · Wiley eBooks · doi:10.1002/9781118133880.hop203008 · Cited by 8
A Python Code for Simulating Single Tactile Receptors and the Spiking Responses of Their Afferents
Ouyang, Q., Wu, J., Shao, Z., Wu, M., & Cao, Z. (2019) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2019.00027 · Cited by 7
“Previous neurophysiological experiments of single tactile unit has indicated that stimulus intensity is encoded in the firing rate (ips, impulses per second) of action potentials rather than its firing amplitude (Goodwin et al., 1997; Muniak et al., 2007).”
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Encoding of Vibrotactile Stimuli by Mechanoreceptors in Rodent Glabrous Skin
Medlock, L., Al-Basha, D., Halawa, A., Dedek, C., Ratté, S., & Prescott, S. A. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1252-24.2024 · Cited by 5
Human Foot Outperforms the Hand in Mechanical Pain Discrimination
Ng, K. K. W., Lafee, O., Bouchatta, O., Makdani, A. D., Marshall, A. G., Olausson, H., McIntyre, S., & Nagi, S. S. (2024) · eNeuro · doi:10.1523/eneuro.0412-23.2024 · Cited by 5
“…indentation and vibrotactile stimuli suggest that the activity of several different classes of tactile afferents contributes to an overall percept of intensity, with each afferent class having different weights or contributions to the sensation (Cohen and Vierck, 1993; Muniak et al., 2007).”
BackgroundOBSOLETE: The Neural Mechanisms of Touch and Proprioception at the Somatosensory Periphery
Goodman, J. M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.00014-6 · Cited by 5
Spatiotemporal Organization of Touch Information in Tactile Neuron Population Responses
Tummala, N., Shao, Y., & Visell, Y. (2023) · IEEE World Haptics Conference (WHC) · doi:10.1109/whc56415.2023.10224467 · Cited by 4
“Numerous studies have characterized the responses of tactile neuron populations to controlled laboratory stimuli, examining parameters such as intensity [19], [20], frequency [21], textural vibration content [22]–[24], and edge orientation [25], and demonstrated that touch information is encoded at various spatial and…”
BackgroundMethodA Spike-Timing Pattern Based Neural Network Model for the Study of Memory Dynamics
Liu, J. K., & She, Z.-S. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006247 · Cited by 5
“Both C fr and C sv were consistent in that they showed the same tendency similar to the input-output response functions observed in experiments [21].”
ResultSpatial and temporal codes mediate the tactile perception of natural textures
Bensmaı̈a, S. J. (2014) · IEEE Haptics Symposium · doi:10.1109/haptics.2014.6775421 · Cited by 6
Biomechanical filtering supports tactile encoding efficiency in the human handPreprint
Tummala, N., Reardon, G., Dandu, B., Shao, Y., Saal, H. P., & Visell, Y. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.10.565040 · Cited by 5
“For example, perceived vibrotactile intensity is highly frequency-dependent 44,45 , but the observed dependence conflicts with predictions de-256 rived based on responses of PCs adjacent to the contact location 37 .”
BackgroundMethodInfluentialTebcherani, T. M., Loparo, K. A., Kaffashi, F., Tyler, D. J., & Graczyk, E. L. (2024) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2024.3414939 · Cited by 4
“…location, neural firing rate, and neural population size over time are four important aspects of the neural code underlying the perception of touch stimuli [13], [14], yet no existing biomimetic paradigm mimics all four of these coding properties [11], [12], [15], [16], [17], [18], [19], [20].”
BackgroundGeneral Sensory System and Taste
Palmieri, M., Caldas, G. D. C., Monroy-Sosa, A., Lopez, I. G., Rea, N. S., Cortés-Contreras, A. P., & Ascenzi, B. M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-822404-5.00004-8 · Cited by 4
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Kim, M., Kwon, H.-C., Park, W.-H., Yang, T., Kim, S., Hwang, S. M., & Kim, K. (2019) · IEEE Access · doi:10.1109/access.2019.2961122 · Cited by 4
Masking interferes with haptic texture perception from sequential exploratory movements
Drewing, K., & Lezkan, A. (2021) · Attention Perception & Psychophysics · doi:10.3758/s13414-021-02253-w · Cited by 5
Baravalle, R., & Montani, F. (2021) · Physical review. E · doi:10.1103/physreve.103.042308 · Cited by 4
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“While it is not possible to give specific predictions on how strongly each modality was represented within the afferent response and cortical activity, peripheral mechanoreceptors are known to have varied activation thresholds at a range of frequencies [75,76], and the overall pattern of evoked activity would therefor…”
BackgroundPrinting a Pacinian Corpuscle: Modeling and Performance
Barrett-Snyder, K., Lane, S., Lazarus, N. S., Alberts, W. C. K., & Hanrahan, B. (2021) · Micromachines · doi:10.3390/mi12050574 · Cited by 4
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Exploring Frequency Modulation in Decoding Edge Perception Through Touch
Ziat, M., Tursynbek, I., Pham, T. D. X., & Ling, A. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-70058-3_12 · Cited by 3
Nonlinear two stage mechanotransduction model and neural response of Pacinian Corpuscle
Biswas, A., Manivannan, M., & Srinivasan, M. A. (2014) · Biomedical Sciences and Engineering Conference (BSEC) · doi:10.1109/bsec.2014.6867740 · Cited by 3
A spike train distance-based method to evaluate the response of mechanoreceptive afferents
Yi, Z., & Zhang, Y. (2018) · Neural Computing and Applications · doi:10.1007/s00521-018-3465-6 · Cited by 3
“The details of the experimental setup can be found in [34].”
BackgroundHow Fast Is Too Fast? Boundaries to the Perception of Electrical Stimulation of Peripheral Nerves
Dupan, S. S. G., McNeill, Z., Sarda, E., Brunton, E., & Nazarpour, K. (2022) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2022.3158067 · Cited by 2
“As perception is based on a combination of the firing frequency and recruitment of sensory nerves [6]–[8], one could always increase perception through increasing either the stimulation intensity and/or pulse width.”
BackgroundProsthetic Elbow Flexion and Extension Sense rebuilt by Electrotactile Feedback: a Preliminary Study
Zuo, Y., Wu, G., Song, H., et al. (2023) · Procedia Computer Science · doi:10.1016/j.procs.2023.10.629 · Cited by 3
Restoring the sense of touch with electrical stimulation of the nerve and brain
Callier, T., & Bensmaı̈a, S. J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822828-9.00010-1 · Cited by 3
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Katic, N., Valle, G., & Raspopović, S. (2022) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_100-1 · Cited by 3
Affordable Wideband Sensor Coupled Vibrotactile Actuator Systems for Psychophysical Experiments
Biswas, A., Manivannan, M., & Srinivasan, M. A. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-42321-0_39 · Cited by 2
Biomimetic bidirectional hand neuroprostheses for restoring somatosensory and motor functions
Iberite, F., Mendez, V., Mazzoni, A., Shokur, S., & Micera, S. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822828-9.00011-3 · Cited by 2
Somatosensory Neuromodulation with a Focus Towards Clinical Systems
Graczyk, E. L., & Tyler, D. J. (2022) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_92-1 · Cited by 2
Impaired Discrimination of Electrocutaneous Stimulation in the Paretic Hand of Stroke Survivors
Citterman, A. R., Stewart, A. E., Urban, R. J., Trout, M. A., Maitre, P. P., Edgley, S. R., Richards, L. G., Iversen, M. M., & George, J. A. (2023) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc40787.2023.10340295 · Cited by 2
“Participants were also instructed to focus solely on the intensity of the pulse, ignoring any perceived changes in duration or location; tactile stimuli can be judged on a single intensive continuum regardless of differences in modality or quality [18].”
BackgroundZhu, C., Esteller, R., Block, J., Lechleiter, K. M., Frey, R., & Moffitt, M. A. (2024) · Frontiers in Pain Research · doi:10.3389/fpain.2023.1339892 · Cited by 2
Scarpelli, A., Cordella, F., & Zollo, L. (2025) · Journal of Neural Engineering · doi:10.1088/1741-2552/ade503 · Cited by 2
“Sensory information is given in input to the Encoding Algorithm , which includes the algorithms that associate the readouts of the sensors to specific stimulation patterns understandable from the nervous system [12, 16].”
Multi-Path Integrate and Fire Circuit for Determination of Tactile Sensations in a Prosthetic Limb
Madler, R., Kundu, A., Fahmy, A., Patrick, E. E., Bashirullah, R., & Maghari, N. (2019) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2019.8702511 · Cited by 2
How the inner repetition of a desired perception changes actual tactile perception
Myga, K. A., Kuehn, E., & Azañón, E. (2024) · Scientific Reports · doi:10.1038/s41598-024-53449-7 · Cited by 2
“Nevertheless, it is not surprising that the origin of this interaction remains unknown, given that the exact way in which stimulus frequency and amplitude are translated into perception of pitch and intensity, when considered in isolation, are not clear either 53–55 .”
BackgroundBenigni, T. R., Pena, A. E., Kuntaegowdanahalli, S. S., Abbas, J. J., & Jung, R. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad7f8c · Cited by 2
“As their name suggests, rapidly adapting fibers abruptly stop firing under constant stimulation until they reach the next grate so that time between grates informs you on the coarseness (Muniak et al 2007, Oddo et al 2016, Mazzoni et al 2020).”
Strzalkowski, N. D. J. (2015) · The Atrium (University of Guelph) · doi:10.13140/rg.2.2.12911.02721 · Cited by 3
Focal Vibration Alters Human Digital Sensory Nerve Action Potentials: A Pilot Study
Zhu, D. Q., Liu, F., Zhu, Y., et al. (2021) · Neural Plasticity · doi:10.1155/2021/8819169 · Cited by 1
“[16] that low-frequency vibratory stimuli (e.”
Ishizuka, H., Kitaguchi, S., Nakatani, M., YOSHIMURA, H., & Shimokawa, F. (2024) · Journal of Biomechanical Science and Engineering · doi:10.1299/jbse.24-00027 · Cited by 1
Effect of Temporal Modulation of Tactile Stimulus on Time Perception
Takahashi, R., Takayama, Y., & Yotsumoto, Y. (2025) · Timing & Time Perception · doi:10.1163/22134468-bja10117 · Cited by 1
Gao, T. Y., Deng, B., Wang, J., Zhang, W., & Yi, G. (2025) · Nonlinear Dynamics · doi:10.1007/s11071-025-10930-w · Cited by 1
“Another way to measure the neural behavior is by the entrainment threshold (ET), which is the minimum amplitude resulting in a spike generation per cycle on average [49].”
Robust Neuromorphic Method for Tactile Recognition of Material Surfaces
Nie, D., Zhang, Y., Song, R. F., Fei, H., & Sun, X. (2025) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2025.3546086 · Cited by 1
“We adjusted K according to the findings in [27] and [28].”
A mathematical model of dorsal horn circuits’ contribution to neuropathic pain
Ramne, M. (2025) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc58623.2025.11253737 · Cited by 1
“For innocuous afferents, the frequency is estimated to lay in the range 0-150 Hz [15], [16].”
Unveiling interactions of spatial-temporal information in tactile motion perception
Qu, B., Tan, X., Tang, Z., Wang, H., Lan, L., Schriver, K. E., Pan, G., Friedman, R. M., & Lai, H.-Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-28038-x · Cited by 1
Biomechanical filtering supports efficient tactile encoding in the human hand
Tummala, N., Reardon, G., Dandu, B., Shao, Y., Saal, H. P., & Visell, Y. (2026) · Journal of The Royal Society Interface · doi:10.1098/rsif.2025.0793 · Cited by 7
Ng, K. K. W., Birznieks, I., & Vickery, R. M. (2026) · The Journal of Physiology · doi:10.1113/jp290236 · Cited by 1
So, A., Kajimoto, H., Crawford, E. N., Vickery, R. M., & Birznieks, I. (2026) · The Journal of Physiology · doi:10.1113/jp290940 · Cited by 1
Investigating Distinct Intensity Levels in Electrotactile Machine-to-Human Communication
Parsnejad, S., Dávila-Montero, S., Ashoori, E., & Mason, A. J. (2022) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas48785.2022.9937988 · Cited by 2
“The literature supports this assumption because intensity can be correlated with overall action potential firing rate of nerve fibers [20]–[22] and as a result, a higher PF will naturally have a higher intensity floor.”
BackgroundSomatosensory Neuromodulation with a Focus Towards Clinical Systems
Graczyk, E. L., & Tyler, D. J. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_92 · Cited by 1
Investigation of Neuropsychological Mechanism of Fabric Smoothness Sensation
Liao, X., Li, Y., Hu, J., Li, Q., & Wu, X. (2019) · Fibers and Polymers · doi:10.1007/s12221-019-8592-x · Cited by 1
Katic, N., Valle, G., & Raspopović, S. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_100 · Cited by 1
The role of vibratory cues in affective responses to tactile textures
Manfredi, L. R. (2010) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)
The in vivo functional neuroanatomy and neurochemistry of vibrotactile processing
Puts, N. A. J. (2011) · ORCA Online Research @Cardiff (Cardiff University)
glabrous skin A simple model of mechanotransduction in primate
Dong, Y., Mihalaş, Ş., Kim, S. S., Yoshioka, T., & Bensmaı̈a, S. J. (2013)
Theta-burst rTMS over SI modulates tactile perception on the hand
Rai, N. (2011) · UWSpace (University of Waterloo)
Metadata
- Authors
- Muniak, M. A., Ray, S., Hsiao, S. S., Dammann, J. F., & Bensmaia, S. J.
- Affiliations
- Johns Hopkins University (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2007-10-24
- Volume
- 27
- Issue
- 43
- Pages
- 11687-11699
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6673240
- OpenAlex
- W1989489753
- Cited by
- 235
- References
- 42
- Citations by year
- 2026: 10 · 2025: 11 · 2024: 18 · 2023: 14 · 2022: 18 · 2021: 26 · 2020: 16 · 2019: 16 · 2018: 15 · 2017: 14 · 2016: 13 · 2015: 11 · 2014: 14 · 2013: 10 · 2012: 8
- FWCI
- 2.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (NS-38034)
- National Institute on Deafness and Other Communication Disorders (R01DC000095, DC-00023, DC-00095, T32DC000023)
- National Institute of Neurological Disorders and Stroke (NS 38034, NS-18787, R01NS018787, P01NS038034)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Sensory Systems › Ion Channels and Receptors
- Keywords
- neural coding, somatosensory system, rapidly adapting afferents, Pacinian corpuscles, population coding, firing rate, psychophysics, macaque, sinusoidal stimuli, bandpass noise
- MeSH terms
- Action Potentials, Adult, Animals, Differential Threshold, Female, Humans, Macaca mulatta, Male, Mechanoreceptors, Neurons, Afferent, Physical Stimulation, Psychomotor Performance, Touch, Vibration
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