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Related Concept Videos

Tactile and Chemical Senses01:27

Tactile and Chemical Senses

695
Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex.
695
Somatosensation01:33

Somatosensation

43.0K
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.
43.0K

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Related Experiment Video

Updated: Jan 11, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
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Recent advances in spike-based neural coding for tactile perception.

Zimeng Zhu1, Kaiyun Chen1, Waner Lin2

  • 1Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education, School of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, China.

Microsystems & Nanoengineering
|November 11, 2025
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Summary

This review explores spike-based neural coding for artificial tactile perception, overcoming traditional computing limits. It details neuromorphic hardware and decoding methods for efficient, low-power tactile systems.

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Area of Science:

  • Neuromorphic Engineering
  • Artificial Tactile Perception
  • Biologically Inspired Computing

Background:

  • Traditional von Neumann architecture limits artificial tactile systems with high latency and energy inefficiency.
  • Neuromorphic engineering offers a bio-inspired alternative using event-driven, spike-based coding.
  • This mirrors neural signaling in human somatosensory systems.

Purpose of the Study:

  • Systematically review spike-based neural coding techniques for tactile perception.
  • Focus on encoding strategies, neuromorphic hardware, and decoding methodologies.
  • Outline a roadmap for advanced artificial tactile systems.

Main Methods:

  • Comparison of rate coding and temporal coding for biological plausibility and efficiency.
  • Evaluation of hardware platforms: oscillator circuits, CMOS/memristor neurons, triboelectric sensors.
  • Analysis of decoding mechanisms: spike-timing-dependent plasticity, spiking neural networks.

Main Results:

  • Identified efficient encoding and decoding strategies for tactile data.
  • Evaluated diverse neuromorphic hardware for tactile sensing and processing.
  • Emphasized co-design for integrated sensing, encoding, and processing.

Conclusions:

  • Spike-based coding and neuromorphic hardware enable efficient artificial tactile perception.
  • Achieved systems offer millisecond latency and sub-milliwatt power consumption.
  • Essential advancements for robotics, prosthetics, and wearable electronics.