ReviewCyborg and bionic systems (Washington, D.C.)2021
Human Somatosensory Processing and Artificial Somatosensation.
Review in Cyborg and bionic systems (Washington, D.C.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 51 citations in OpenAlex.
- Regulation of Somatosensory Temporal Discrimination Threshold Through Motor Training: An EEG and Kinematics Study.CNS neuroscience & therapeutics · 2025Trial
- A Tangentially Sensitive Tactile Sensor Reveals the Stick-Slip Mechanism and Enhances Robotic Tactile Sensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Perpendicular neuromorphic channels facilitate lateral inhibition for tactile location.Nature communications · 2026Article
- Sensory abnormalities in autism spectrum disorder and their in vitro modeling.Translational psychiatry · 2025Review
- An Integrated Monolithic Synaptic Device for C-Tactile Afferent Perception and Robot Emotional Interaction.Cyborg and bionic systems (Washington, D.C.) · 2025Article
- SORI: A softness-rendering interface to unravel the nature of softness perception.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- ASMNet: Action and Style-Conditioned Motion Generative Network for 3D Human Motion Generation.Cyborg and bionic systems (Washington, D.C.) · 2024Article
- Network Bursts in 3D Neuron Clusters Cultured on Microcontact-Printed Substrates.Micromachines · 2023Article
- Tactile-Sensing Technologies: Trends, Challenges and Outlook in Agri-Food Manipulation.Sensors (Basel, Switzerland) · 2023Review
- An Overview of In Vitro Biological Neural Networks for Robot Intelligence.Cyborg and bionic systems (Washington, D.C.) · 2023Review
- Time-Varying Functional Connectivity of Rat Brain during Bipedal Walking on Unexpected Terrain.Cyborg and bionic systems (Washington, D.C.) · 2023Article
- Predictive neuromodulation of cingulo-frontal neural dynamics in major depressive disorder using a brain-computer interface system: A simulation study.Frontiers in computational neuroscience · 2023Article
- Recent progress in three-terminal artificial synapses based on 2D materials: from mechanisms to applications.Microsystems & nanoengineering · 2023Review
- Increased Inertia Triggers Linear Responses in Motor Cortices during Large-Extent Movements-A fNIRS Study.Brain sciences · 2022Article
- Implementing Monocular Visual-Tactile Sensors for Robust Manipulation.Cyborg and bionic systems (Washington, D.C.) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the past few years, we have gained a better understanding of the information processing mechanism in the human brain, which has led to advances in artificial intelligence and humanoid robots. However, among the various sensory systems, studying the somatosensory system presents the greatest challenge. Here, we provide a comprehensive review of the human somatosensory system and its corresponding applications in artificial systems. Due to the uniqueness of the human hand in integrating receptor and actuator functions, we focused on the role of the somatosensory system in object recognition and action guidance. First, the low-threshold mechanoreceptors in the human skin and somatotopic organization principles along the ascending pathway, which are fundamental to artificial skin, were summarized. Second, we discuss high-level brain areas, which interacted with each other in the haptic object recognition. Based on this close-loop route, we used prosthetic upper limbs as an example to highlight the importance of somatosensory information. Finally, we present prospective research directions for human haptic perception, which could guide the development of artificial somatosensory systems.
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.