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

Direct Motor Pathways01:11

Direct Motor Pathways

2.6K
The direct motor pathways, also known as the pyramidal tracts, are a group of neural pathways that originate in the brain and descend through the spinal cord. They control the voluntary movement of the body. There are two major direct motor pathways: the corticospinal and the corticobulbar tracts.
The corticospinal tract is responsible for the voluntary movement of the limbs and trunk. It originates in the cerebral cortex of the brain and descends through the cerebrum's internal capsule and...
2.6K
Indirect Motor Pathways01:22

Indirect Motor Pathways

1.8K
The indirect motor or extrapyramidal pathways originate in the brainstem, the lower portion of the brain that connects it to the spinal cord. They consist of several distinct tracts, each with specialized functions. The four main tracts of the indirect motor pathways are the vestibulospinal tract, the reticulospinal tract, the tectospinal tract, and the rubrospinal tract.
The vestibulospinal tract originates in the vestibular nuclei of the brainstem. The vestibular system detects changes in...
1.8K
Neural Circuits01:25

Neural Circuits

1.7K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.7K

You might also read

Related Articles

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

Sort by
Same author

Connecting and Engaging.

ACS nano·2026
Same author

Announcing the 2026 <i>ACS Nano</i> Lectureship and <i>ACS Nano</i> Impact Award Laureates.

ACS nano·2026
Same author

Announcing the 2026 <i>ACS Nano</i> Lectureship and <i>ACS Nano</i> Impact Award Laureates.

ACS nano·2026
Same author

Optical cooling by interfacial charge transfer in 2D heterostructures.

Nature·2026
Same author

Announcing the 2026 <i>ACS Nano</i> Lectureship and <i>ACS Nano</i> Impact Award Laureates.

ACS nano·2026
Same author

Announcing the 2026 <i>ACS Nano</i> Lectureship and <i>ACS Nano</i> Impact Award Laureates.

ACS nano·2026

Related Experiment Video

Updated: Sep 22, 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

8.0K

Artificial Neural Pathway Based on a Memristor Synapse for Optically Mediated Motion Learning.

Ke He1, Yaqing Liu2, Jiancan Yu1

  • 1Innovative Centre for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.

ACS Nano
|May 19, 2022
PubMed
Summary

Researchers developed an artificial neural pathway (ANP) using memristor synapses to mimic brain learning. This bio-inspired system enables robots to learn and perform tasks through optical and electrical feedback.

Keywords:
autonomous devicelearningneuromorphic functionsynaptic devicezeolitic imidazolate framework

More Related Videos

A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning
11:32

A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning

Published on: January 19, 2022

3.6K
In Vivo Wireless Optogenetic Control of Skilled Motor Behavior
07:52

In Vivo Wireless Optogenetic Control of Skilled Motor Behavior

Published on: November 22, 2021

3.4K

Related Experiment Videos

Last Updated: Sep 22, 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

8.0K
A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning
11:32

A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning

Published on: January 19, 2022

3.6K
In Vivo Wireless Optogenetic Control of Skilled Motor Behavior
07:52

In Vivo Wireless Optogenetic Control of Skilled Motor Behavior

Published on: November 22, 2021

3.4K

Area of Science:

  • Neuroscience and Robotics
  • Materials Science and Engineering

Background:

  • Biological neural pathways enable learning, memory, and cognition in animals.
  • Developing artificial systems that mimic these biological functions is key for advanced intelligent robots.

Purpose of the Study:

  • To create an artificial neural pathway (ANP) using memristor synapses.
  • To emulate neuromorphic learning behaviors for bio-inspired robots.

Main Methods:

  • An artificial neural pathway (ANP) was constructed using a flexible perovskite photoreceptor and a zeolitic imidazolate frameworks-8 (ZIF-8) memristor.
  • Optical stimuli were converted to electrical signals, processed by the ZIF-8 memristor to modulate synaptic plasticity.
  • The ANP controlled a robotic arm through learned synaptic feedback.

Main Results:

  • The memristor synapse successfully emulated synaptic functions of learning and memory.
  • The ANP learned to perform specific motions in response to repeated optical stimulation.
  • The system demonstrated effective bio-inspired autonomous operation.

Conclusions:

  • This work presents a promising strategy for designing intelligent autonomous devices and bio-inspired robots.
  • Memristor-based artificial neural pathways offer a viable approach for emulating biological learning and cognition.
  • The developed ANP successfully integrated sensing, learning, and actuation for robotic control.