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

The Synapse

The Synapse

Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.

You might also read

Related Articles

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

Sort by

Same author

Leveraging Machine Learning for Screening Metal-Organic Frameworks with Selective CO<sub>2</sub> Recognition for Early Thermal Runaway in Lithium-Ion Batteries.

Nanomaterials (Basel, Switzerland)·2026

Same author

Triboelectric Contact Localization Electronics: A Systematic Review.

Sensors (Basel, Switzerland)·2024

Same author

Size effect on excess resistivity induced by hydrogen in ultra-thin vanadium systems.

Physical chemistry chemical physics : PCCP·2020

Same author

Real-Time Monitoring and Detection of Single-Cell Level Cytokine Secretion Using LSPR Technology.

Micromachines·2020

Same author

The Felodipine Event Reduction (FEVER) Study: a randomized long-term placebo-controlled trial in Chinese hypertensive patients.

Journal of hypertension·2005

Same author

More tea for septic patients?--Green tea may reduce endotoxin-induced release of high mobility group box 1 and other pro-inflammatory cytokines.

Medical hypotheses·2005

Search research articles

Related Experiment Video

Updated: Jun 28, 2025

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

Light-Emitting Artificial Synapses for Neuromorphic Computing.

Chen Zhu¹, Wen Huang^2,3, Wei Li⁴

¹College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.

Research (Washington, D.C.)

|April 15, 2024

Summary

Colloidal quantum dot light-emitting transistors and diodes show promise for optoelectronic synaptic devices. These artificial synapses leverage optical signals for advanced neuromorphic computing systems.

More Related Videos

Using Affordable LED Arrays for Photo-Stimulation of Neurons

Using Affordable LED Arrays for Photo-Stimulation of Neurons

Published on: November 15, 2011

Methodology for Biomimetic Chemical Neuromodulation of Rat Retinas with the Neurotransmitter Glutamate In Vitro

Methodology for Biomimetic Chemical Neuromodulation of Rat Retinas with the Neurotransmitter Glutamate In Vitro

Published on: December 19, 2017

Related Experiment Videos

Last Updated: Jun 28, 2025

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

Using Affordable LED Arrays for Photo-Stimulation of Neurons

Using Affordable LED Arrays for Photo-Stimulation of Neurons

Published on: November 15, 2011

Methodology for Biomimetic Chemical Neuromodulation of Rat Retinas with the Neurotransmitter Glutamate In Vitro

Methodology for Biomimetic Chemical Neuromodulation of Rat Retinas with the Neurotransmitter Glutamate In Vitro

Published on: December 19, 2017

Area of Science:

Materials Science
Neuroscience
Computer Engineering

Background:

Synaptic devices are crucial for neuromorphic computing.
Optoelectronic synaptic devices offer advantages over electronic ones.
Colloidal quantum dots (CQDs) are promising for light-emitting applications.

Purpose of the Study:

To explore light-emitting artificial synapses based on CQDs.
To analyze the mechanisms and performance of these devices.
To discuss future development prospects.

Main Methods:

Review of light-emitting diodes (LEDs) based on CQDs.
Analysis of light-emitting transistors for synaptic applications.
Discussion of device mechanisms and performance metrics.

Main Results:

CQD-based LEDs are suitable candidates for optoelectronic synapses.
Light-emitting transistors demonstrate significant potential in synaptic devices.
The study provides a detailed analysis of mechanisms and performance.

Conclusions:

Light-emitting artificial synapses using CQD structures are viable.
These devices offer a pathway for advanced optical neuromorphic systems.
Further research is needed to optimize performance and explore future development.