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

Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
Visual System01:26

Visual System

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...
The Retina01:32

The Retina

The retina is a layer of nervous tissue at the back of the eye that transduces light into neural signals. This process, called phototransduction, is carried out by rod and cone photoreceptor cells in the back of the retina.
Neuron Structure01:30

Neuron Structure

Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to cellular...
Neuron Structure01:31

Neuron Structure

Overview
Anatomy of the Eyeball01:20

Anatomy of the Eyeball

The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle layer, the vascular tunic,...

You might also read

Related Articles

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

Sort by
Same author

Electron-Induced Reactions in Solid Carbon Dioxide: Lithography and Methane Formation under High-Energy Irradiation.

ACS applied materials & interfaces·2026
Same author

High encoding-sensitivity vision sensor with complementary nonlinear neuromorphic computing.

Nature communications·2026
Same author

Static-electricity-induced luminescence trajectory tracking: A paradigm for noncontact human-machine interaction in dark environments.

Science advances·2026
Same author

Interfused Graphene Fiber Membranes Enable Volumetric Electron-Transfer Advanced Oxidation via Interlayer Site Activation.

Angewandte Chemie (International ed. in English)·2026
Same author

Bioinspired adaptive pupil reflex based on liquid-metal shape-shifters for machine vision.

Science robotics·2026
Same author

High-Brightness, Wide-Gamut, and High-Resolution Structural Colors via Ultrafast Laser Oxidation of Ti/TiO<sub>2</sub> Films.

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

Erratum for the Research Article "Assessing the health risks of rice cadmium content standards in China" by H. Chu <i>et al</i>.

Science advances·2026
Same journal

Erratum for the Research Article "Developmental regulation of Erk signaling by mitotic kinases" by F. Chen <i>et al</i>.

Science advances·2026
Same journal

Magnetically levitated metasurface enabling tangible and bidirectional human-machine interaction.

Science advances·2026
Same journal

A general photoinduced manganese-catalyzed platform for the sequential difunctionalization of [1.1.1]propellane.

Science advances·2026
Same journal

Turning sound and force into light with AlN:Mn<sup>2+</sup> mechanoluminescence.

Science advances·2026
Same journal

Extreme dominance of Earth-origin heavy ions in the intense ring current near the Earth during the May 2024 super geomagnetic storm.

Science advances·2026
See all related articles

Related Experiment Video

Updated: Jun 21, 2026

Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

Artificial sparse neuron dendrites for visual information inference.

Rui Wang1,2, Guolei Liu1, Saisai Wang3

  • 1Zhejiang Key Laboratory of 3D Micro/Nano Fabrication and Characterization, Department of Electronic and Information Engineering, School of Engineering, Westlake University, Hangzhou 310030, China.

Science Advances
|June 19, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a novel artificial neuron dendrite array that mimics biological dendrites for efficient parallel computation. The sparse dendritic spiking neural network (SD-SNN) significantly reduces neural activity and power consumption for object processing.

More Related Videos

Analyzing Dendritic Morphology in Columns and Layers
08:41

Analyzing Dendritic Morphology in Columns and Layers

Published on: March 23, 2017

Imaging Dendritic Spines of Rat Primary Hippocampal Neurons using Structured Illumination Microscopy
14:11

Imaging Dendritic Spines of Rat Primary Hippocampal Neurons using Structured Illumination Microscopy

Published on: May 4, 2014

Related Experiment Videos

Last Updated: Jun 21, 2026

Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

Analyzing Dendritic Morphology in Columns and Layers
08:41

Analyzing Dendritic Morphology in Columns and Layers

Published on: March 23, 2017

Imaging Dendritic Spines of Rat Primary Hippocampal Neurons using Structured Illumination Microscopy
14:11

Imaging Dendritic Spines of Rat Primary Hippocampal Neurons using Structured Illumination Microscopy

Published on: May 4, 2014

Area of Science:

  • Neuroscience
  • Artificial Intelligence
  • Computer Engineering

Background:

  • Biological dendrites enable efficient visual processing through nonlinear integration and sparse parallel computation.
  • Conventional neuromorphic devices lack the spatiotemporal processing capabilities of biological dendrites.
  • Replicating dendritic properties is key to advancing efficient information inference in artificial systems.

Purpose of the Study:

  • To develop an artificial neuron dendrite array that emulates biological dendritic spatiotemporal spike integration.
  • To enable precise parallel computation and sparse spiking inference.
  • To enhance computational efficiency and reduce power consumption in neuromorphic devices.

Main Methods:

  • Integration of neurons, synapses, and dendrites into a single artificial array.
  • Implementation of multigate threshold regulation for parallel sparse spiking inference.
  • Formation of a sparse dendritic spiking neural network (SD-SNN) for various computational tasks.

Main Results:

  • The SD-SNN demonstrated high-efficiency static and dynamic object processing.
  • Achieved significant reductions in neuronal activity (99.5%) and power consumption (98% and 65%).
  • Enabled parallel sparse inference with random spatial distribution.

Conclusions:

  • The artificial neuron dendrite array effectively replicates biological dendritic functions for advanced computation.
  • The developed SD-SNN offers a pathway to highly efficient and low-power neuromorphic systems.
  • This research advances spatiotemporal computing capabilities and computational efficiency in artificial intelligence.