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

Neural Circuits01:25

Neural Circuits

1.8K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Self-Cross-Linked Collapsible Starch Aerogels Loaded with Ag Nanoparticles: A Platform for Multiphase SERS Detection of Trace Pollutants in Complex Matrices.

ACS applied materials & interfaces·2026
Same author

Functional connectivity of orbitofrontal cortex predicts cocaine relapse: Protective and risk circuits, individual differences, and neuromodulation implications.

Biological psychiatry·2026
Same author

Benchmarking fMRI Denoising Pipelines.

Human brain mapping·2026
Same author

Connecting single-cell transcriptomes to projectomes in the mouse visual cortex.

Nature·2026
Same author

Inhaled Nitric Oxide via High-Flow Nasal Cannula in Postrepair Congenital Heart Disease Patients With Pulmonary Arterial Hypertension Following Extubation: A Cohort Study With Propensity Score Matching.

World journal for pediatric & congenital heart surgery·2026
Same author

Transfer-printed yellow and red InGaN micro-LEDs on diamond for ultra-low-power high-speed optical interconnects.

Nature communications·2026

Related Experiment Video

Updated: Oct 11, 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

8.0K

Artificial Neurons Based on Ag/V2C/W Threshold Switching Memristors.

Yu Wang1,2, Xintong Chen1, Daqi Shen1

  • 1College of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.

Nanomaterials (Basel, Switzerland)
|November 27, 2021
PubMed
Summary

Researchers developed a novel two-dimensional MXene memristor that mimics artificial neurons. This breakthrough enables low-power, robust brain-inspired computing without extra components, paving the way for efficient neuromorphic systems.

Keywords:
MXeneartificial neuronleaky integrate-and-firememristorthreshold switching

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

9.1K
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

4.2K

Related Experiment Videos

Last Updated: Oct 11, 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

8.0K
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

9.1K
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

4.2K

Area of Science:

  • Materials Science
  • Neuroscience
  • Computer Engineering

Background:

  • Memristors are crucial for hardware neural networks due to their integration, nonlinearity, and plasticity.
  • Emulating biological synapses and neurons with memristors is an active research area.
  • A key challenge is creating low-power, robust artificial neurons without additional electronic components.

Purpose of the Study:

  • To demonstrate a single two-dimensional (2D) MXene (V2C)-based memristor capable of emulating a leaky integrate-and-fire (LIF) neuron.
  • To achieve artificial neuron functionality without auxiliary circuits.
  • To explore the potential of MXene memristors in neuromorphic computing.

Main Methods:

  • Fabrication of a V2C-based threshold switching (TS) memristor.
  • Investigation of the Ag diffusion-based filamentary mechanism responsible for neuron emulation.
  • Characterization of the memristor's ability to perform neural functions.

Main Results:

  • A single V2C memristor successfully emulated a LIF neuron without extra components.
  • The device exhibited key neural functions: leaky integration, threshold-driven firing, and self-relaxation.
  • Linear strength-modulated spike frequency characteristics were achieved.

Conclusions:

  • Three-atom-type MXene memristors, specifically V2C, offer an efficient pathway for constructing hardware neuromorphic computing systems.
  • This work presents a significant advancement in developing compact and effective artificial neurons.
  • The V2C memristor demonstrates potential for low-power, high-performance brain-inspired computing applications.