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

Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

2.9K
The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
The receptor level:
The receptor level is the first stage of sensation. It involves the detection of a stimulus by specialized sensory receptors. The stimulus must arrive within the receptor's receptive field. Next, the receptor converts the energy of the...
2.9K
Parallel Processing01:20

Parallel Processing

150
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
150
Visual System01:26

Visual System

579
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
579
What is a Sensory System?01:31

What is a Sensory System?

93.3K
Sensory systems detect stimuli—such as light and sound waves—and transduce them into neural signals that can be interpreted by the nervous system. In addition to external stimuli detected by the senses, some sensory systems detect internal stimuli—such as the proprioceptors in muscles and tendons that send feedback about limb position.
93.3K
Electro-mechanical Systems01:19

Electro-mechanical Systems

946
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
946

You might also read

Related Articles

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

Sort by
Same author

An artificial neuromorphic interface for auditory restoration.

Nature materials·2026
Same author

Amphibious passive adaptation in untethered soft robots.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Interpretable Sensor Change Detection via Conditional Cauchy-Schwarz Divergence.

Sensors (Basel, Switzerland)·2026
Same author

Information-Theoretic Intrinsic Motivation for Reinforcement Learning in Combinatorial Routing.

Entropy (Basel, Switzerland)·2026
Same author

Sharkskin-Inspired Multisensory Afferent Electronic Skin Capable of Noncontact Materials Recognition and Self-Awareness.

Nano letters·2026
Same author

Enzymatic microbubble robots.

Nature nanotechnology·2026
Same journal

Sub1 contributes to heart failure with preserved ejection fraction driven by aging in mice.

Nature communications·2026
Same journal

The BRCA1-A complex restricts replication fork reversal-dependent DNA repair in ATM deficient cells.

Nature communications·2026
Same journal

Signaling downstream of tumor-stroma interaction regulates mucinous colorectal adenocarcinoma apicobasal polarity.

Nature communications·2026
Same journal

Click-polymerized polyenamine membranes for efficient lithium extraction.

Nature communications·2026
Same journal

Joint trajectories of brain atrophy, white matter hyperintensities and cognition quantify brain maintenance.

Nature communications·2026
Same journal

Proton shuttling at electrochemical interfaces under alkaline hydrogen evolution.

Nature communications·2026
See all related articles

Related Experiment Video

Updated: Jun 28, 2025

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

3.4K

Visualized in-sensor computing.

Yao Ni1,2, Jiaqi Liu1,2, Hong Han1,2

  • 1Institute of Optoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, 300350, China.

Nature Communications
|April 24, 2024
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel electrochromic neuromorphic transistor that uses color changes to represent synaptic weights in artificial nervous systems. This innovation allows for visualized pattern recognition and bio-hybrid interface development.

More Related Videos

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.4K
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.3K

Related Experiment Videos

Last Updated: Jun 28, 2025

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

3.4K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.4K
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.3K

Area of Science:

  • Neuromorphic Engineering
  • Artificial Nervous Systems
  • Bio-hybrid Interfaces

Background:

  • Current artificial nervous systems offer limited information compared to biological organisms, as conductivity changes for synaptic weight updates lack detail.
  • There is a need for advanced in-sensor computing methods that provide richer, more intuitive feedback.

Purpose of the Study:

  • To design and produce a pioneering electrochromic neuromorphic transistor for in-sensor computing.
  • To enable color-coded representation of synaptic weights, enhancing information capacity in artificial nervous systems.
  • To develop a visualized pattern-recognition network and simulate bio-inspired reflex systems.

Main Methods:

  • Engineered a specialized mechanism for adaptive ion doping regulation using an ion-exchange membrane.
  • Developed an electrochromic neuromorphic transistor capable of precise, color-coded synaptic weight control.
  • Integrated the transistor with an artificial whisker to simulate a bionic reflex system.

Main Results:

  • Achieved unprecedented precise control over color-coded synaptic weights through adaptive ion doping.
  • Demonstrated enhanced electrochromatic capabilities for hardware coding and established a visualized pattern-recognition network.
  • Successfully simulated a bionic reflex system, visualizing signal flow in real-time in response to stimuli.

Conclusions:

  • The electrochromic neuromorphic transistor represents a significant advancement in in-sensor computing and artificial nervous systems.
  • This technology offers a new paradigm for biomimetic coding, particularly for bio-hybrid interfaces.
  • The research paves the way for incorporating color-based expressions in artificial systems for enhanced functionality and visualization.