Evidence map›Paper›PMID 28652360›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Simulating tactile signals from the whole hand with millisecond precision.

Hannes P Saal, Benoit P Delhaye, Brandon C Rayhaun, Sliman J Bensmaia

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

98 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Illusory cold desensitizes touch.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. A framework for quantifying the mechanics of dexterous grasp.bioRxiv : the preprint server for biology · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Clinical Applications and Future Translation of Somatosensory Neuroprostheses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Review

38 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hannes P SaalDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL 60637.ORCID 0000-0002-7544-0196
Benoit P DelhayeDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL 60637.ORCID 0000-0003-3974-7921
Brandon C RayhaunDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL 60637.
Sliman J BensmaiaDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL 60637; sliman@uchicago.edu.

Funding

Modeling the temporal succession of phenotypes & environnnental cuesP50MH094267 · NIMH · UNIVERSITY OF CHICAGO · PI RZHETSKY, ANDREY · 2011 to 2015
$10.2M
Biomimetic Somatosensory Feedback through IntracorticalmicrostimulationR01NS095251 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BENSMAIA, SLIMAN, GRILL, WARREN M. · 2016 to 2020
$3.7M
NIMH NIH HHS P50 MH094267NINDS NIH HHS R01 NS095251
6 · The paper itself

Abstract

When we grasp and manipulate an object, populations of tactile nerve fibers become activated and convey information about the shape, size, and texture of the object and its motion across the skin. The response properties of tactile fibers have been extensively characterized in single-unit recordings, yielding important insights into how individual fibers encode tactile information. A recurring finding in this extensive body of work is that stimulus information is distributed over many fibers. However, our understanding of population-level representations remains primitive. To fill this gap, we have developed a model to simulate the responses of all tactile fibers innervating the glabrous skin of the hand to any spatiotemporal stimulus applied to the skin. The model first reconstructs the stresses experienced by mechanoreceptors when the skin is deformed and then simulates the spiking response that would be produced in the nerve fiber innervating that receptor. By simulating skin deformations across the palmar surface of the hand and tiling it with receptors at their known densities, we reconstruct the responses of entire populations of nerve fibers. We show that the simulated responses closely match their measured counterparts, down to the precise timing of the evoked spikes, across a wide variety of experimental conditions sampled from the literature. We then conduct three virtual experiments to illustrate how the simulation can provide powerful insights into population coding in touch. Finally, we discuss how the model provides a means to establish naturalistic artificial touch in bionic hands.

Indexed as

Hand StrengthAction PotentialsAfferent PathwaysAlgorithmsAnimalsComputer SimulationHandHumansLinear ModelsMacaca mulattaMechanoreceptorsNerve FibersNeurons, AfferentNormal DistributionPoisson DistributionSkincomputational modelmechanoreceptorskin mechanicssomatosensory peripherytactile afferent

Identifiers

PMID28652360
PMCPMC5514748

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.