Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

MOS Capacitor

MOS Capacitor

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...

Design Example: Capacitance Multiplier Circuit

Design Example: Capacitance Multiplier Circuit

In integrated circuit technology, a capacitance multiplier is often utilized to produce a larger capacitance value when a small physical capacitance falls short. This is achieved by a circuit that multiplies capacitance values by a factor of up to 1000, such that a 10-pF capacitor can replicate the performance of a 100-nF capacitor.
The circuit illustrated in Figure 1 below incorporates two op-amps, with the first operating as a voltage follower and the second acting as an inverting amplifier.

Zener Diodes

Zener Diodes

Zener diodes are specialized semiconductor devices designed to operate in the reverse breakdown region, where they allow current to flow into the cathode, making it positive relative to the anode. This reverse operation distinguishes Zener diodes from conventional diodes and enables their use in various applications, most notably as voltage regulators. One of the defining characteristics of Zener diodes is their nearly vertical I-V (current-voltage) characteristic curve above a certain...

Non-ohmic Devices

Non-ohmic Devices

In most substances, the current flow is proportional to the voltage applied to it. A simple relationship between the values of current, voltage, and resistance is known as Ohm's law. Nonohmic devices do not exhibit a linear relationship between voltage and current. One such device is the semiconducting circuit element known as a diode. A diode is a circuit device that allows current flow in only one direction.
Consider a simple circuit consisting of a battery, a diode, and a resistor. A...

Norton Equivalent Circuits

Norton Equivalent Circuits

Norton's theorem is a fundamental concept in the field of electrical engineering that allows for the simplification of complex AC circuits. The theorem states that any two-terminal linear network can be replaced with an equivalent circuit that consists of an impedance, which is parallel with a constant current source. Figure 1 shows the AC circuit portioned into two parts: Circuit A and Circuit B, while Figure 2 depicts the circuit obtained by replacing Circuit A by its Norton equivalent...

Characteristics of MOSFET

Characteristics of MOSFET

Metal-oxide-semiconductor field-effect Transistors, or MOSFETs, play a critical role in electronic circuits. They are primarily utilized for amplifying and switching signals.
Various vital parameters influence their functionality, which is crucial for theory and electronics applications. First, channel dimensions, precisely length, and width, are pivotal. The size of these channels affects the transistor's ability to carry current and switching speeds; shorter channels typically enable...

You might also read

Related Articles

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

Sort by

Same author

Ultramicroporous Metal-Organic Frameworks Functionalized With Acyclic Ether Oxygen Bonds for Efficient C<sub>2</sub>H<sub>2</sub>/CO<sub>2</sub> and C<sub>2</sub>H<sub>2</sub>/C<sub>2</sub>H<sub>4</sub> Separation.

Chemistry (Weinheim an der Bergstrasse, Germany)·2026

Same author

A visible and quantitative pEAQ-RUBY system for analysis of transcription factor-promoter regulation in plants.

Plant science : an international journal of experimental plant biology·2026

Same author

Wearable Multifunctional Sensors for Human Activity Recognition.

Sensors (Basel, Switzerland)·2026

Same author

Hyperexcitable VTA-mPFC dopaminergic circuit disrupts sleep spindle and mediates sleep fragmentation after chronic social defeat stress.

Neuron·2026

Same author

ALP-Responsive Luminescent Nanosheets Promote Precise Hepatitis Theragnostic by Co-Targeting NLRP3 and Cholestasis.

Advanced materials (Deerfield Beach, Fla.)·2026

Same author

Ultrasound-guided dynamic needle tip positioning versus conventional palpation for improving the success rate of radial artery catheterization: A randomized controlled trial.

The journal of vascular access·2026

Search research articles

Related Experiment Video

Updated: Aug 23, 2025

A Method for Growing Bio-memristors from Slime Mold

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

Reservoir Computing-Based Design of ZnO Memristor-Type Digital Identification Circuits.

Lixun Wang¹, Yuejun Zhang¹, Zhecheng Guo¹

¹Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China.

|October 27, 2022

Summary

This study introduces a novel two-level Reservoir Computing (RC) structure using zinc oxide (ZnO) memristors. This memristor-based system achieves high accuracy for time series classification with efficient training.

Keywords:

Reservoir Computing memristor stress activity synaptic plasticity

More Related Videos

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

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

Published on: March 9, 2019

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

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

Published on: May 13, 2020

Related Experiment Videos

Last Updated: Aug 23, 2025

A Method for Growing Bio-memristors from Slime Mold

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

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

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

Published on: March 9, 2019

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

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

Published on: May 13, 2020

Area of Science:

Neuroscience and Materials Science
Focuses on the intersection of biological neural systems and advanced materials for computation.

Background:

Reservoir Computing (RC) relies on generating sufficient reservoir states for hardware implementation.
Existing RC systems face limitations due to self-attenuating reservoir characteristics.

Purpose of the Study:

To report and model a laboratory-prepared zinc oxide (ZnO) memristor.
To propose a novel two-level RC structure utilizing the ZnO memristor's properties.
To enhance RC performance for time series classification.

Main Methods:

Characterization of ZnO memristor for nonlinear dynamic responses and synaptic plasticity simulation (LTP/LTD).
Development of a two-level RC architecture incorporating the ZnO memristor.
Implementation of novel synaptic encoding to maintain stress activity and overcome signal duration limitations.

Main Results:

The ZnO memristor exhibits nonlinear dynamics and simulates long-term potentiation/depression.
The proposed RC structure effectively alleviates limitations of self-attenuating reservoirs.
Achieved a 95.08% recognition rate on the MNIST dataset with 35 hidden neurons.

Conclusions:

The ZnO memristor is a viable component for hardware-based Reservoir Computing.
The novel two-level RC structure demonstrates superior performance in time series classification.
This approach offers efficient training consumption for complex tasks.