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

Applications of RC Circuits

Applications of RC Circuits

A relaxation oscillator is one of the applications of RC circuits. A neon lamp relaxation oscillator comprises a capacitor, a resistor, a voltage source, and a lamp. The lamp acts like an open circuit, with infinite resistance until the potential difference across the lamp reaches a specific voltage. At that voltage, the lamp acts like a short circuit with zero resistance, and the capacitor discharges through the lamp, thus producing light. Once the capacitor is fully discharged through the...

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.

Clamper Circuit

Clamper Circuit

A clamper circuit, also known as a DC restorer, represents a specialized variant of the rectifier circuit, notable for its method of taking the output across the diode rather than the capacitor. This configuration lends to several distinctive applications, particularly in handling square wave inputs.
Within this circuit, the diode's orientation prompts the capacitor to charge up to the level of the most negative peak of the input signal. Upon reaching this state, the diode ceases to...

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...

Oscillations In An LC Circuit

Oscillations In An LC Circuit

An idealized LC circuit of zero resistance can oscillate without any source of emf by shifting the energy stored in the circuit between the electric and magnetic fields. In such an LC circuit, if the capacitor contains a charge q before the switch is closed, then all the energy of the circuit is initially stored in the electric field of the capacitor. This energy is given by

RLC Circuit as a Damped Oscillator

RLC Circuit as a Damped Oscillator

An RLC circuit combines a resistor, inductor, and capacitor, connected in a series or parallel combination.
Consider a series RLC circuit. Here, the presence of resistance in the circuit leads to energy loss due to joule heating in the resistance. Therefore, the total electromagnetic energy in the circuit is no longer constant and decreases with time. Since the magnitude of charge, current, and potential difference continuously decreases, their oscillations are said to be damped. This is...

You might also read

Related Articles

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

Sort by

Same author

Preoperative identification of tumor deposits in rectal cancer using a transformer-based multimodal fusion model: a multicenter retrospective study.

BMC medical imaging·2026

Same author

PdbMYB44 enhances drought tolerance via PP2C-mediated modulation of ABA signaling and stomatal aperture.

Plant physiology and biochemistry : PPB·2026

Same author

Generative adversarial networks: multiparametric, multiregion super-resolution MRI in predicting lymph node metastasis in rectal cancer.

Insights into imaging·2026

Same author

Geochemical Characteristics and Oil-Gas Geological Significance of the Cambrian Bituminous Calcite Veins in the Northeast Margin of Ordos Basin, China.

ACS omega·2025

Same author

The SCARECROW-LIKE transcription factor from Populus davidiana × P. bolleana simultaneously improved drought tolerance and plant growth through acetylation-dependent mechanisms.

Plant biotechnology journal·2025

Same author

Experimental investigation on pyrolysis of coking waste salts: Mechanism of organic compounds removal and salt agglomeration.

Journal of environmental management·2025

Search research articles

Related Experiment Video

Updated: Jun 30, 2025

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Multiplex-free physical reservoir computing with an adaptive oscillator.

Md Raf E Ul Shougat¹, XiaoFu Li², Edmon Perkins²

¹Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina 27695, USA.

Physical Review. E

|March 16, 2024

Summary

Adaptive oscillators offer a novel approach to physical reservoir computing, enabling computation and information storage without complex time multiplexing or machine learning. This method allows fundamental logic gates to be calculated directly through the oscillator

More Related Videos

Fabrication of a Multiplexed Artificial Cellular MicroEnvironment Array

Fabrication of a Multiplexed Artificial Cellular MicroEnvironment Array

Published on: September 7, 2018

Fabrication and Testing of Microfluidic Optomechanical Oscillators

Fabrication and Testing of Microfluidic Optomechanical Oscillators

Published on: May 29, 2014

Related Experiment Videos

Last Updated: Jun 30, 2025

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Fabrication of a Multiplexed Artificial Cellular MicroEnvironment Array

Fabrication of a Multiplexed Artificial Cellular MicroEnvironment Array

Published on: September 7, 2018

Fabrication and Testing of Microfluidic Optomechanical Oscillators

Fabrication and Testing of Microfluidic Optomechanical Oscillators

Published on: May 29, 2014

Area of Science:

Physics
Computer Science
Nonlinear Dynamics

Background:

Nonlinear oscillators function as physical reservoir computers, processing and storing information via their dynamics.
Current methods often rely on time multiplexing and machine learning to interpret stored information, requiring high sampling rates.
Adaptive oscillators possess inherent plastic states for human-readable information storage and learning, bypassing machine learning.

Purpose of the Study:

To explore adaptive oscillators as a physical reservoir computer architecture.
To eliminate the need for time multiplexing in reservoir computing.
To demonstrate simultaneous calculation of fundamental logic gates through oscillator dynamics.

Main Methods:

Utilizing adaptive oscillators as a physical reservoir computer.
Implementing a multiplex-free architecture.
Analyzing the inherent dynamics of adaptive oscillators for computation.

Main Results:

Adaptive oscillators can function as reservoir computers without time multiplexing.
Fundamental logic gates are computed simultaneously through oscillator dynamics.
The need for machine learning to decode information is eliminated.

Conclusions:

Adaptive oscillators provide a simplified and efficient physical reservoir computing paradigm.
This approach enables direct, dynamic computation of logic gates.
The elimination of time multiplexing and machine learning offers significant advantages in reservoir computing design.