Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Chemical Synapses01:26

Chemical Synapses

8.9K
Chemical synapses are specialized sites between two neurons or between a neuron and a non-neuronal cell like a muscle, glandular or sensory cell.
Because chemical synapses depend on the release of neurotransmitter molecules from synaptic vesicles to pass on their signal, there is an approximately one millisecond delay between when the axon potential reaches the presynaptic terminal and when the neurotransmitter leads to opening of postsynaptic ion channels. Additionally, this signaling is...
8.9K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.3K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
3.3K
Electrical Synapses01:28

Electrical Synapses

8.4K
Electrical synapses found in all nervous systems play important and unique roles. In these synapses, the presynaptic and postsynaptic membranes are very close together (3.5 nm) and are actually physically connected by channel proteins forming gap junctions.
Gap junctions allow the current to pass directly from one cell to the next. In contrast, in the chemical synapse, the neurotransmitters carry the information through the synaptic cleft from one neuron to the next. They consist of two...
8.4K

You might also read

Related Articles

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

Sort by
Same author

Comparative Colorimetric Oligonucleotide Sensing using Gold Nanoparticles and Toluidine Blue O: Insights from Representative Viral Sequences.

Macromolecular bioscience·2026
Same author

Combined resistive switching memory and multi-state operation in terpyridine-based Pd(II) and Fe(III) complexes for neuromorphic applications.

Nanoscale·2026
Same author

The Asian Pacific Association of the Study of the Liver expert survey on artificial intelligence-assisted reporting of liver histopathology in metabolic dysfunction associated fatty liver disease.

Hepatology international·2026
Same author

Epitaxial β-Ga<sub>2</sub>O<sub>3</sub>/GaN Heterojunction Based UV-C/UV-A Photodetectors with Superior Responsivity and Stability Under Vertical and Lateral Mode Operations.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Evidence for the Collective Nature of Radial Flow in Pb+Pb Collisions with the ATLAS Detector.

Physical review letters·2026
Same author

Water-Processable PVA-SbQ as an Eco-Friendly Photoreversible Dual-Tone Photoresist for Advanced Lithography.

Chemistry, an Asian journal·2026

Related Experiment Video

Updated: Jul 31, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

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

Published on: March 9, 2019

7.9K

Bio-inspired artificial synapse for neuromorphic computing based on NiO nanoparticle thin film.

Keval Hadiyal1,2, Ramakrishnan Ganesan3, A Rastogi1

  • 1Centre for Functional Materials, Vellore Institute of Technology, Vellore, TN, 632014, India.

Scientific Reports
|May 10, 2023
PubMed
Summary

Researchers developed a novel analog resistive switching device using nickel oxide (NiO) nanoparticles for efficient neuromorphic computation. This device mimics biological synapses, showing reliable potentiation and depression for learning and memory applications.

More Related Videos

Fabrication of Magnetic Platforms for Micron-Scale Organization of Interconnected Neurons
09:54

Fabrication of Magnetic Platforms for Micron-Scale Organization of Interconnected Neurons

Published on: July 14, 2021

4.9K
Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts
08:40

Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts

Published on: July 18, 2025

91

Related Experiment Videos

Last Updated: Jul 31, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

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

Published on: March 9, 2019

7.9K
Fabrication of Magnetic Platforms for Micron-Scale Organization of Interconnected Neurons
09:54

Fabrication of Magnetic Platforms for Micron-Scale Organization of Interconnected Neurons

Published on: July 14, 2021

4.9K
Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts
08:40

Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts

Published on: July 18, 2025

91

Area of Science:

  • Materials Science
  • Neuroscience
  • Computer Engineering

Background:

  • The increasing demand for data processing necessitates advanced computing paradigms like neuromorphic devices.
  • Neuromorphic computation leverages the brain's parallel processing for efficient data handling and decision-making.
  • Reliable, room-temperature resistive switching devices are crucial for fabricating practical neuromorphic systems.

Purpose of the Study:

  • To investigate a novel analog resistive switching device based on gold/nickel oxide nanoparticles/gold (Au/NiO nanoparticles/Au).
  • To demonstrate the device's capability to mimic synaptic plasticity, including long-term potentiation and depression.
  • To assess the potential of NiO nanoparticle-based devices for learning-forgetting-relearning characteristics in neuromorphic applications.

Main Methods:

  • Fabrication of an analog resistive switching device using Au/NiO nanoparticles/Au structure.
  • Application of positive and negative voltage pulses to induce changes in synaptic current.
  • Analysis of conductance changes using double exponential growth and decay models.
  • Evaluation of long-term potentiation (LTP) and long-term depression (LTD) characteristics.

Main Results:

  • The Au/NiO nanoparticles/Au device exhibited reliable analog resistive switching behavior at room temperature.
  • Synaptic current enhancement (potentiation) and reduction (depression) were observed upon application of voltage pulses.
  • Conductance changes were accurately modeled by double exponential functions, indicating synaptic plasticity.
  • Consistent LTP and LTD characteristics were established, essential for biological synaptic mimicry.
  • The device demonstrated controlled synaptic enhancement and learning-forgetting-relearning behavior.

Conclusions:

  • The developed NiO nanoparticle-based resistive switching device offers a promising platform for neuromorphic computation.
  • The device effectively mimics biological synaptic functions, enabling applications in artificial learning and memory.
  • Optimization of electric pulses allows for controlled synaptic enhancement, paving the way for advanced neuromorphic systems.