Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Thermosensation01:43

Thermosensation

30.3K
Peripheral thermosensation is the perception of external temperature. A change in temperature (on the surface of the skin and other tissues) is detected by a family of temperature-sensitive ion channels called Transient Receptor Potential, or TRP, receptors. These receptors are located on free nerve endings. Those detecting cold temperatures are closer to the surface of the skin than the nerve endings detecting warmth. These thermoTRP channels, while temperature selective, have relatively...
30.3K
The Resting Membrane Potential01:21

The Resting Membrane Potential

128.3K
Overview
128.3K
Resting Membrane Potential01:24

Resting Membrane Potential

17.7K
The relative difference in electrical charge, or voltage, between the inside and the outside of a cell membrane, is called the membrane potential. It is generated by differences in permeability of the membrane to various ions and the concentrations of these ions across the membrane.
The Inside of a Neuron is More Negative
The membrane potential of a cell can be measured by inserting a microelectrode into a cell and comparing the charge to a reference electrode in the extracellular fluid. The...
17.7K
MOS Capacitor01:25

MOS Capacitor

661
A Metal-Oxide-Semiconductor (MOS) capacitor is a fundamental structure used extensively in semiconductor device technology, particularly in the fabrication of integrated circuits and MOSFETs (metal-oxide-semiconductor field-effect transistors). The MOS capacitor consists of three layers: a metal gate, a dielectric oxide, and a semiconductor substrate.
The metal gate is typically made from highly conductive materials such as aluminum or polysilicon. Beneath the metal gate lies a thin layer of...
661

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Unraveling the degradation mechanisms of commercial cylindrical sodium-ion batteries under high cut-off voltages.

RSC advances·2026
Same author

Single-nucleus transcriptomic atlas of postnatal camel liver development identifies candidate adaptive features.

BMC genomics·2026
Same author

SHREC 2025: Protein surface shape retrieval including electrostatic potential.

Computers & graphics·2026
Same author

Treatment Patterns and Barriers to Care Among U.S. Adults With Co-Occurring Substance Use Disorder and Mental Illness.

The American journal of psychiatry·2026
Same author

Orbital-Engineered Sn/RuO<sub>2</sub> Nanocatalyst with Self-Regulating Electron Configuration for Durable Chlorine Evolution at Industrial Current Densities.

ACS applied materials & interfaces·2026
Same author

The role of macrophage-myofibroblast transition in the pathogenesis of multi-organ fibrosis.

Tissue & cell·2026

Related Experiment Video

Updated: May 21, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

7.7K

Threshold-Switching Memristors for Neuromorphic Thermoreception.

Haotian Li1, Chunsheng Jiang2, Qilin Hua1

  • 1School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.

Sensors (Basel, Switzerland)
|March 17, 2025
PubMed
Summary

Researchers developed novel temperature-sensing neuron circuits using bismuth selenide (Bi2Se3) memristors. These devices mimic biological thermoreceptors, showing potential for advanced artificial sensory systems.

Keywords:
artificial sensory systemmemristorthermoreceptor

More Related Videos

A Method for Growing Bio-memristors from Slime Mold
07:46

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

8.9K
In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx
09:49

In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx

Published on: May 13, 2020

4.0K

Related Experiment Videos

Last Updated: May 21, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

7.7K
A Method for Growing Bio-memristors from Slime Mold
07:46

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

8.9K
In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx
09:49

In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx

Published on: May 13, 2020

4.0K

Area of Science:

  • Materials Science
  • Neuroscience
  • Electrical Engineering

Background:

  • Neuromorphic devices aim to emulate biological sensory systems for artificial intelligence.
  • Biological thermoreceptors provide essential temperature-sensing capabilities.
  • Memristors offer unique properties for building compact and efficient electronic circuits.

Purpose of the Study:

  • To develop and investigate neuromorphic devices for emulating biological thermoreceptors.
  • To construct temperature-sensing neuron circuits using bismuth selenide (Bi2Se3)-based memristors.
  • To analyze the performance of these circuits in response to temperature variations.

Main Methods:

  • Utilized Bi2Se3-based threshold-switching memristors with high switching ratios and thermoelectric properties.
  • Designed and simulated neuron circuits incorporating these memristors using Hspice.
  • Modeled memristor behavior based on on/off states, threshold voltage, and hold voltage.

Main Results:

  • Demonstrated that Bi2Se3 memristors exhibit spiking oscillation responses to resistance and temperature changes.
  • Achieved a high switching ratio (>10^6) and low threshold voltage in the memristor devices.
  • Validated the feasibility of using these memristors in temperature-sensing applications through simulations.

Conclusions:

  • Bi2Se3-based memristors show significant potential for creating biorealistic artificial thermoreception.
  • These devices can be integrated into neuron-like artificial sensory systems.
  • The developed circuits pave the way for advanced neuromorphic engineering applications.