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.

Equivalent Capacitance

Equivalent Capacitance

Multiple capacitors can be connected in a circuit in series or parallel configuration. When the capacitor combination is connected to a battery, the potential drop across each capacitor and the magnitude of charge stored in the individual capacitor depends on the type of the connection. The capacitor combination is replaced by a single equivalent capacitor that stores the same amount of charge as the combination for a given potential difference.
The following strategies are adopted to calculate...

Equivalent Capacitance

Equivalent Capacitance

From the study of resistive circuits, it is understood that employing a series-parallel combination serves as an effective strategy for simplifying circuits. Capacitors can be arranged within a circuit in one of two ways: a series configuration or a parallel configuration. The way these capacitors are connected to a battery will influence both the potential drop across each individual capacitor and the size of the charge that each capacitor can store. This is determined by the specific type of...

Storage

Storage

A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze each...

Neural Circuits

Neural Circuits

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...

You might also read

Related Articles

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

Sort by

Same author

Computing in a memory with physics.

Science (New York, N.Y.)·2026

Same author

Spectroscopic investigation of the structural and electronic properties of oxygen-deficient tantalum oxide thin films.

Physical chemistry chemical physics : PCCP·2026

Same author

OpenStride: an inexpensive, open-source force plate actometry system for quantification of rodent motor activity and behaviour.

Scientific reports·2026

Same author

A wireless power transfer system for leadless endovascular electrocorticography.

Communications engineering·2026

Same author

Technology Roadmap of Bioinspired Computing Hardware.

ACS nano·2026

Same author

Individualized brain-computer interface for people with disabilities: a review.

Frontiers in human neuroscience·2026

Search research articles

Related Experiment Video

Updated: May 11, 2026

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

An associative capacitive network based on nanoscale complementary resistive switches for memory-intensive computing.

Omid Kavehei¹, Eike Linn, Lutz Nielen

¹Centre for Neural Engineering, The University of Melbourne, VIC 3010, Australia.

|May 7, 2013

Summary

This summary is machine-generated.

We developed a new Associative Capacitive Network (ACN) using two Complementary Resistive Switches (2-CRSs) for non-volatile memory. This technology enables fast, parallel searching and offers advantages for cognitive computing and data processing.

More Related Videos

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-VO_x

Published on: May 13, 2020

A Method for Growing Bio-memristors from Slime Mold

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

Related Experiment Videos

Last Updated: May 11, 2026

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-VO_x

Published on: May 13, 2020

A Method for Growing Bio-memristors from Slime Mold

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

Area of Science:

Materials Science
Computer Engineering
Electrical Engineering

Background:

Conventional associative memories rely on charge retention, necessitating frequent refresh cycles.
Emerging memory technologies face challenges in balancing performance, nonvolatility, and energy efficiency.

Purpose of the Study:

To introduce and demonstrate the functionality of an Associative Capacitive Network (ACN) for advanced computing applications.
To leverage the unique properties of Complementary Resistive Switches (2-CRSs) for nonvolatile associative memory implementation.

Main Methods:

Implementation of an Associative Capacitive Network (ACN) utilizing nondestructive capacitive readout of two Complementary Resistive Switches (2-CRSs).
Designing ACN devices comprising two CRS cells, minimizing the need for selective elements and peripheral CMOS circuitry for addressing and read-out.

Main Results:

ACNs demonstrate the capability for fully parallel search of Hamming distances, enabling efficient similarity matching.
Information is stored in a nonvolatile resistive state, eliminating the need for refresh cycles typical of conventional associative memories.
The architecture allows for information processing through capacitive coupling, reducing energy consumption.

Conclusions:

Associative Capacitive Networks offer significant advantages, including high parallelism, nonvolatility, wide interconnectivity, and low energy consumption.
ACNs are a promising candidate for memory-intensive and cognitive computing, content-addressable memories (CAMs), and intelligent data processing applications.