ArticleScience advances2020
Compression of dynamic tactile information in the human hand.
Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Decoupling parameters of adhesion from viscoelasticity in the human perception of stickinessMaterials horizons · 2026Article
- Flexible Tactile Sensing Systems: Challenges in Theoretical Research Transferring to Practical Applications.Nano-micro letters · 2025Review
- Contribution of remote Pacinian corpuscles to flutter-range frequency discrimination in humans.Scientific reports · 2024Article
- Shear shock waves mediate haptic holography via focused ultrasound.Science advances · 2023Article
- Touch IoT enabled by wireless self-sensing and haptic-reproducing electronic skin.Science advances · 2022Article
- Population coding strategies in human tactile afferents.PLoS computational biology · 2022Article
- Efficient tactile encoding of object slippage.Scientific reports · 2022Article
- Malleability of the cortical hand map following a finger nerve block.Science advances · 2022Article
- Article
- Harnessing tactile waves to measure skin-to-skin interactions.Behavior research methods · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A key problem in the study of the senses is to describe how sense organs extract perceptual information from the physics of the environment. We previously observed that dynamic touch elicits mechanical waves that propagate throughout the hand. Here, we show that these waves produce an efficient encoding of tactile information. The computation of an optimal encoding of thousands of naturally occurring tactile stimuli yielded a compact lexicon of primitive wave patterns that sparsely represented the entire dataset, enabling touch interactions to be classified with an accuracy exceeding 95%. The primitive tactile patterns reflected the interplay of hand anatomy with wave physics. Notably, similar patterns emerged when we applied efficient encoding criteria to spiking data from populations of simulated tactile afferents. This finding suggests that the biomechanics of the hand enables efficient perceptual processing by effecting a preneuronal compression of tactile information.
Identifiers
What OpenQuestion holds
Registered trials
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.