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Related Concept Videos

Design Example: Frog Muscle Response01:14

Design Example: Frog Muscle Response

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A student is tasked to work on an intriguing experiment involving an RL (Resistor-Inductor) circuit to study the muscle response of a frog's leg to electrical stimulation. The RL circuit plays a crucial role in this experiment, providing the means to control and measure the electrical impulses that trigger muscle contraction.
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A reflex activity is an automatic, involuntary response to specific stimuli. It is a part of our survival mechanism, designed to protect us from potential harm. For example, when a bright light suddenly shines into our eyes, we instinctively close them or look away. This is a simple reflex activity orchestrated by the nervous system without conscious thought or effort.
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The contraction strength of muscles is regulated by motor neurons, which modulate the frequency of action potentials dispatched to the motor units based on the body's requirements. This process of varying the muscle stimulation frequency allows muscles to contract with a force that is precisely tailored to the needs of the moment, whether lifting a feather or a heavy box.
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Updated: Dec 30, 2025

Use of a Foot-Induced Digitally Controlled Resistance Device for Functional Magnetic Resonance Imaging Evaluation in Patients with Foot Paresis
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Strain-controlled power devices as inspired by human reflex.

Shuo Zhang1,2, Bei Ma3, Xingyu Zhou1,2

  • 1CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, China.

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|January 18, 2020
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Summary

This study introduces a novel strain-controlled power device inspired by human reflexes. This bioinspired electronic device rapidly modulates output power in response to mechanical strain, advancing artificial intelligence applications.

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Area of Science:

  • Materials Science
  • Electrical Engineering
  • Artificial Intelligence

Background:

  • Bioinspired electronics are crucial for advancing artificial intelligence (AI).
  • AI applications like autopilot and robotics require novel power devices with adaptable forms.
  • Existing power devices lack rapid response to mechanical stimuli.

Purpose of the Study:

  • To develop a strain-controlled power device inspired by human reflex.
  • To enable rapid modulation of output power in response to external strain.
  • To explore applications in AI-driven systems.

Main Methods:

  • Utilized a cantilever-structured Aluminum Gallium Nitride/Aluminum Nitride/Gallium Nitride (AlGaN/AlN/GaN)-based high electron mobility transistor (HEMT).
  • Applied weak mechanical stimuli (0-16 mN) at a gate bias of 1 V.
  • Demonstrated acceleration-feedback control for real-time power adjustment.

Main Results:

  • Achieved significant output power modulation (2.30–2.72 × 10^3 W cm^-2) with minimal mechanical input.
  • Showcased real-time output power adjustment (ΔP of 72.78–132.89 W cm^-2) in response to acceleration changes (1–5 G) at 15 V supply voltage.
  • Validated the device's rapid response to strain, mimicking human reflex.

Conclusions:

  • The developed strain-controlled power device offers rapid, strain-modulated power output.
  • This bioinspired electronic device holds significant potential for AI applications such as autopilot, robotics, and human-machine interfaces.
  • The device represents a key advancement in power management for responsive AI systems.