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Somatosensation

Somatosensation

The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.

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Related Experiment Video

Updated: Oct 3, 2025

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Dynamic tactility by position-encoded spike spectrum.

Taeyeong Kim¹, Jaehun Kim², Insang You³

¹Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.

Science Robotics

|February 16, 2022

Summary

This summary is machine-generated.

This study introduces an artificial dynamic sensory system using position-encoded spike spectrum for tactile information. This system decodes complex motions in real-time, enhancing robotic manipulation capabilities.

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Last Updated: Oct 3, 2025

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

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Published on: March 25, 2014

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS

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Published on: July 30, 2020

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects

Published on: September 1, 2016

Area of Science:

Materials Science
Neuroscience
Robotics

Background:

Fast somatosensory processing relies on spike timing over frequency for encoding tactile information.
Existing artificial sensory systems often struggle with high-resolution spatiotemporal perception.

Purpose of the Study:

To propose an artificial dynamic sensory system inspired by biological spike encoding.
To develop a system capable of real-time recognition of complex dynamic motions.

Main Methods:

Utilized a mixed ion-electron conductor to generate spike signals.
Designed artificial receptors with varying ion relaxation times (τ) to create a position-encoded spike spectrum.
Employed computational decoding of the spike spectrum for motion recognition.

Main Results:

The artificial sensory system successfully encodes spatial and temporal tactile information.
Achieved high-resolution spatiotemporal tactile perception.
Demonstrated real-time recognition of complicated dynamic motions.

Conclusions:

The developed ionic artificial sensory system enables real-time dynamic robotic manipulation.
The position-encoded spike spectrum approach offers a scalable and structurally simple solution for dense sensor integration.