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

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 conduct,...

Biasing of Metal-Semiconductor Junctions

Biasing of Metal-Semiconductor Junctions

Biasing metal-semiconductor junctions involves applying a voltage across the junction. Specifically, the metal is connected to a voltage source, while the semiconductor is grounded. This technique is essential for controlling the direction and magnitude of current flow in electronic devices, including diodes, transistors, and photovoltaic cells.
In Schottky junctions, where the semiconductor is n-type, applying a positive voltage to the metal relative to the semiconductor reduces its Fermi...

Metal-Semiconductor Junctions

Metal-Semiconductor Junctions

The contact of metal and semiconductor can lead to the formation of a junction with either Schottky or Ohmic behavior.
Schottky Barriers
Schottky barriers arise when a metal with a work function (Φm) contacts a semiconductor with a different work function (Φs). Initially, electrons transfer until the Fermi levels of the metal and semiconductor align at equilibrium. For instance, if Φm > Φs, the semiconductor Fermi level is higher than the metal's before contact. The semiconductor's...

Biasing of FET

Biasing of FET

Biasing a Junction Field Effect Transistor (JFET) is crucial for setting operational parameters and ensuring efficient functioning in electronic circuits. JFETs are characterized by using a single carrier type in N-channel or P-channel configurations, where the channel is surrounded by PN junctions. These junctions are central to the device's ability to control current flow.
In an N-channel JFET, the structure consists of N-type material forming the channel on a P-type substrate, with the gate...

Semiconductors

Semiconductors

There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...

Types of Reversible Electrodes

Types of Reversible Electrodes

For electrode reversibility to be maintained, all the reactants and products involved in the half-reaction must be present at the electrode. There are several types of reversible electrodes (half-cells).In metal-metal-ion electrodes, a metal balances electrochemically with a solution of its own ions. Examples are Cu2+|Cu and Zn2+|Zn. Metals that react with the solvent, like group 1 and most group 2 metals, which react with water, and zinc, which reacts with aqueous acidic solutions, cannot be...

You might also read

Related Articles

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

Sort by

Same author

Multipolar Hybrid Stimulation for Visual Prostheses: Enhancing Resolution and Specificity.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same author

Atlantool: a command line tool to retrieve DNA and RNA sequencing reads from BAM files by the read identifier.

Bioinformatics advances·2025

Same author

Prediction of the infecting organism in peritoneal dialysis patients with acute peritonitis using interpretable Tsetlin Machines.

Bioinformatics advances·2025

Same author

IMPACT: In-Memory ComPuting Architecture based on Y-FlAsh Technology for Coalesced Tsetlin machine inference.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2025

Same author

An Event-Driven Approach to Genotype Imputation on a Custom RISC-V Cluster.

IEEE/ACM transactions on computational biology and bioinformatics·2023

Same author

Time derivatives via interconnected waveguides.

Scientific reports·2023

Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

See all related articles

Search research articles

Related Experiment Video

Updated: May 25, 2026

Implementing Dynamic Clamp with Synaptic and Artificial Conductances in Mouse Retinal Ganglion Cells

Implementing Dynamic Clamp with Synaptic and Artificial Conductances in Mouse Retinal Ganglion Cells

Published on: May 16, 2013

Towards neuro-silicon interface using reconfigurable dynamic clamping.

Jun Wen Luo¹, Terrence Mak, Bo Yu

¹School of Electrical, Electronic and Computer Engineer, Newcastle upon Tyne NE17RU, UK.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 19, 2012

Summary

This summary is machine-generated.

This study introduces a Field Programmable Gate Array (FPGA)-based dynamic clamp system for accelerated neuronal network modeling. This real-time system significantly outperforms software approaches, enabling more complex biological neural network simulations.

More Related Videos

Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism

Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism

Published on: October 17, 2025

Silicon Microchips for Manipulating Cell-cell Interaction

Silicon Microchips for Manipulating Cell-cell Interaction

Published on: August 30, 2007

Related Experiment Videos

Last Updated: May 25, 2026

Implementing Dynamic Clamp with Synaptic and Artificial Conductances in Mouse Retinal Ganglion Cells

Implementing Dynamic Clamp with Synaptic and Artificial Conductances in Mouse Retinal Ganglion Cells

Published on: May 16, 2013

Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism

Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism

Published on: October 17, 2025

Silicon Microchips for Manipulating Cell-cell Interaction

Silicon Microchips for Manipulating Cell-cell Interaction

Published on: August 30, 2007

Area of Science:

Computational Neuroscience
Neuro-engineering
Hardware Acceleration

Background:

Dynamic clamp is crucial for studying neuronal properties via hybrid models.
Software-based neuronal network modeling faces computational delays, limiting complex system analysis.

Purpose of the Study:

To develop a real-time dynamic clamping system using FPGAs to overcome computational bottlenecks.
To provide a flexible platform for reconfigurable neuronal model parameters and topologies.

Main Methods:

Implemented real-time neuronal and synaptic models on FPGAs.
Integrated the FPGA system with the stomatogastric ganglion (STG) nervous system for real-time dynamics demonstration.

Main Results:

The FPGA-based dynamic clamping system achieved a two-orders-of-magnitude speed increase compared to software methods.
The system demonstrated effective configuration for mimicking diverse biological neural networks.

Conclusions:

FPGA-based dynamic clamp offers a powerful, accelerated solution for complex neuronal network simulations.
This approach enhances the study of intrinsic neuronal properties and network dynamics.