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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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Sensory Memory01:14

Sensory Memory

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Sensory memory captures information from the environment in its original form for a very brief duration, just long enough to be exposed to visual, auditory, and other senses. This type of memory is detailed and rich but quickly lost unless certain strategies are employed to transfer it into short-term or long-term memory. Sensory information is continuously bombarding the human brain, yet only a small fraction is absorbed, as most of it does not significantly impact daily life. For instance,...
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Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

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A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
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Somatosensation01:33

Somatosensation

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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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System of Memory01:23

System of Memory

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Memory is categorized into three major systems: sensory memory, short-term memory (STM), and long-term memory (LTM). These systems differ in their capacity and the duration for which they can hold information. Sensory memory captures raw sensory input from the environment, holding it for just a few seconds or less. For example, on hearing a brief, loud sound, like a car horn honking, the sound seems to linger in the mind for a moment even after it stops. This is an instance of sensory memory...
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Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

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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:
The receptor level:
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Related Experiment Video

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A Tactile Automated Passive-Finger Stimulator TAPS
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Self-Powered Tactile Sensor with Learning and Memory.

Chaoxing Wu1,2, Tae Whan Kim1, Jae Hyeon Park1

  • 1Department of Electronic and Computer Engineering , Hanyang University , Seoul 04763 , Republic of Korea.

ACS Nano
|November 21, 2019
PubMed
Summary

Researchers developed intelligent tactile sensors inspired by the human nervous system. These sensors mimic synaptic plasticity and memory, enabling them to learn from touch history for advanced artificial intelligence applications.

Keywords:
grapheneintelligent tactile sensorlearningmemoryneuroplasticitytriboelectric nanogenerator

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Area of Science:

  • Materials Science
  • Neuroscience
  • Robotics

Background:

  • Developing human-like intelligent tactile sensors is crucial for advancing human-machine interfaces.
  • Mimicking biological sensory systems, like human somatosensation, offers a promising approach for sensor design.
  • Neuroplasticity-based signal processing provides a framework for creating sensors with learning and memory capabilities.

Purpose of the Study:

  • To demonstrate intelligent neuromorphic tactile sensors with learning and memory functionalities.
  • To explore the application of triboelectric nanogenerators in creating advanced tactile sensing systems.
  • To enable tactile sensors to actively produce signals based on the history of pressure stimulations.

Main Methods:

  • Fabrication of tactile sensors based on the principle of a triboelectric nanogenerator.
  • Implementation of neuromorphic functions, specifically synaptic potentiation and memory, within the sensor design.
  • Construction of smart fingers utilizing these tactile sensors to record action-related information.

Main Results:

  • The tactile sensors demonstrated the ability to mimic neuromorphic functions, exhibiting learning and memory.
  • Sensors actively produced signals with varying amplitudes based on the history of pressure stimulations.
  • Alterable information retention times allowed for multilevel forgetting processes and rich data memorization.
  • Smart fingers successfully recorded comprehensive information about current and previous actions.

Conclusions:

  • Intelligent active tactile sensors inspired by biological systems can be fabricated using triboelectric nanogenerators.
  • These sensors possess neuromorphic capabilities, including learning and memory, crucial for advanced AI.
  • The developed tactile sensors represent a functional element for artificial intelligence, particularly in robotics and human-machine interfaces.