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

You might also read

Related Articles

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

Sort by
Same author

Oxygen-Assisted MOCVD Growth of Monolayer PtSe<sub>2</sub> Films With Bandgap Opening for Semiconducting FET Channels.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Promoting Psychological Resilience Against Academic Burnout: A JD-R Framework Analysis of Self-Compassion as a Mental Health Resource for Diverse Student Populations.

Healthcare (Basel, Switzerland)·2026
Same author

Synergistic Integration of Artificial Merkel Disc and Meissner Corpuscle via Dermal Papillary Structures for Mechanically Filtered Multimodal Tactile Sensing.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Governing Thermal Transport in Three-Dimensional Electronics.

ACS nano·2026
Same author

Correction: INO80 regulates promoter-associated R-loops to coordinate transcription and maintain genome stability in embryonic stem cells.

Biological research·2026
Same author

Sensorimotor network hyperactivity and impaired psychomotor performance associated with cumulative occupational stress in firefighters.

Brain research bulletin·2026

Related Experiment Video

Updated: Jun 4, 2025

Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

1.9K

Highly Reliable Bi2O2Se Dendritic Neuron Enabling Spatial-Temporal Signal Processing for Real-World Image

Jungyeop Oh1, Wonbae Ahn1, Ayoung Ham2

  • 1School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.

ACS Nano
|January 1, 2025
PubMed
Summary

Researchers developed a novel artificial dendrite device using bismuth oxyselenide (Bi2O2Se) memristors. This breakthrough enhances artificial intelligence (AI) by mimicking biological neuron functions for improved performance and energy efficiency.

Keywords:
artificial dendritesbismuth oxyselenide (Bi2O2Se)low-temperature growthmemristorsspatial-temporal signal processing

More Related Videos

Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging
11:24

Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging

Published on: December 12, 2012

13.6K
Two-photon Calcium Imaging in Neuronal Dendrites in Brain Slices
10:35

Two-photon Calcium Imaging in Neuronal Dendrites in Brain Slices

Published on: March 15, 2018

10.7K

Related Experiment Videos

Last Updated: Jun 4, 2025

Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

1.9K
Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging
11:24

Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging

Published on: December 12, 2012

13.6K
Two-photon Calcium Imaging in Neuronal Dendrites in Brain Slices
10:35

Two-photon Calcium Imaging in Neuronal Dendrites in Brain Slices

Published on: March 15, 2018

10.7K

Area of Science:

  • Materials Science
  • Neuroscience
  • Artificial Intelligence

Background:

  • Current artificial intelligence (AI) models simplify biological neurons, limiting performance and energy efficiency in complex tasks.
  • Biological neurons process information nonlinearly via dendrites, capturing spatial-temporal data crucial for advanced computation.

Purpose of the Study:

  • To demonstrate a compact artificial dendrite device utilizing memristors based on bismuth oxyselenide (Bi2O2Se).
  • To implement a dendritic neuron model and evaluate its performance in a neural network for pattern recognition.

Main Methods:

  • Direct growth of transfer-free Bi2O2Se switching medium on metal-patterned substrates using a 350 °C selenization process.
  • Fabrication of memristive devices leveraging the layered structure of Bi2O2Se to limit metal injection and ensure stable switching.
  • Modeling the device's current response to spatial-temporal voltage inputs and implementing a dendritic neuron model.

Main Results:

  • Achieved reliable dynamic resistive switching with excellent cycle uniformity and over 2 million cycles of exceptional endurance.
  • Demonstrated a highly reliable current response characteristic of the Bi2O2Se memristor.
  • Implemented neural network using the Bi2O2Se dendrite device achieved a 78.3% recognition rate on the Street View House Numbers (SVHN) dataset.

Conclusions:

  • The Bi2O2Se-based artificial dendrite device effectively mimics biological neuron functionalities, offering a pathway to more efficient and powerful AI.
  • The developed memristor technology shows significant potential for next-generation neuromorphic computing and advanced AI applications.