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Related Concept Videos

Tactile and Chemical Senses01:27

Tactile and Chemical Senses

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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.
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Somatosensation01:33

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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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Parallel Processing01:20

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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
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Updated: Oct 28, 2025

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Neuromorphic Devices for Bionic Sensing and Perception.

Mingyue Zeng1, Yongli He1, Chenxi Zhang1

  • 1School of Electronic Science & Engineering, Nanjing University, Nanjing, China.

Frontiers in Neuroscience
|July 16, 2021
PubMed
Summary
This summary is machine-generated.

This review explores neuromorphic devices that mimic biological senses for healthcare and AI. It covers materials, progress in emulating perception, and future challenges for advanced bio-inspired sensing technologies.

Keywords:
artificial intelligenceartificial neural systemsbionic sensing and perceptionneuromorphic devicesneuromorphic engineering

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Area of Science:

  • Neuroscience and Artificial Intelligence
  • Bio-inspired Engineering
  • Materials Science for Neuromorphic Computing

Background:

  • Neuromorphic devices aim to replicate neural system functions for applications like healthcare monitoring and neuro-prosthetics.
  • Real-time environmental perception is key for bionic sensing and perception.
  • Significant research integrates bio-inspired sensing with neuromorphic engineering in artificial intelligence.

Purpose of the Study:

  • To review neuromorphic devices based on diverse materials and mechanisms.
  • To summarize advancements in emulating biological sensing and perception systems.
  • To discuss current challenges and future opportunities in the field.

Main Methods:

  • Review of existing literature on neuromorphic devices.
  • Analysis of various materials and mechanisms employed in neuromorphic engineering.
  • Synthesis of progress in emulating biological sensory and perceptual functions.

Main Results:

  • Neuromorphic devices are being developed using a variety of materials and operational principles.
  • Substantial progress has been achieved in creating devices that emulate biological sensory and perceptual capabilities.
  • The field is rapidly advancing due to the integration of bio-inspired sensing and AI.

Conclusions:

  • Neuromorphic devices hold significant promise for applications in personal healthcare, neuro-prosthetics, and human-machine interfaces.
  • Continued research into materials and mechanisms is essential for enhancing real-time environmental perception.
  • Addressing current challenges will unlock further opportunities for developing sophisticated bio-inspired AI systems.