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

Parallel Processing01:20

Parallel Processing

215
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...
215
Visual System01:26

Visual System

659
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...
659
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

145
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
145

You might also read

Related Articles

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

Sort by
Same author

<b>Descriptions of pupae of five Pimeliinae species (Coleoptera: Tenebrionidae) from Alxa Plateau, China</b>.

Zootaxa·2026
Same author

Exposure to multiple metallic elements and risk of thyroid tumors: insights from elemental profiling, diet, and molecular characteristics plasma levels of metallic elements.

Frontiers in oncology·2026
Same author

Rare <i>BRCA1</i> c.3418_3419insTGACTACT:p.S1140Mfs*18 germline mutation in a family with breast and ovarian cancer.

Oncology letters·2026
Same author

[Prediction of potential suitable areas for Tenebrionidae in the Alxa Plateau, Northwest China].

Ying yong sheng tai xue bao = The journal of applied ecology·2026
Same author

Fatigue-induced biomechanical decoupling at L4-S1 discs: mechanism of disc degeneration in chronic low back pain.

BMC musculoskeletal disorders·2025
Same author

[Clinical study of percutaneous short-segment injured vertebra pedicle screw fixation combined with bone grafting in treatment of thoracolumbar fractures].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery·2025

Related Experiment Video

Updated: Aug 31, 2025

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.0K

Neural Network Model for Perceptual Evaluation of Product Modelling Design Based on Multimodal Image Recognition.

Jie Wu1, Long Jia2

  • 1School of Anyang Institute of Technology, Anyang, Henan 455000, China.

Computational Intelligence and Neuroscience
|August 19, 2022
PubMed
Summary

This study reveals how the brain processes multisensory information, finding that consistent sounds aid noisy image recognition. Key brain regions like the prefrontal cortex act as hubs in this complex network.

More Related Videos

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.3K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

5.0K

Related Experiment Videos

Last Updated: Aug 31, 2025

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.0K
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.3K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

5.0K

Area of Science:

  • Cognitive Neuroscience
  • Human-Computer Interaction
  • Product Design

Background:

  • Product appearance quality is crucial for consumer satisfaction and competitiveness in a homogenized market.
  • Understanding how the brain processes multisensory information, especially in complex visual scenes, remains a challenge.

Purpose of the Study:

  • To investigate the neural mechanisms of multisensory integration during noisy visual object recognition.
  • To explore how auditory stimuli modulate brain activity in complex visual environments.
  • To analyze the functional connectivity of brain networks involved in multisensory processing.

Main Methods:

  • Designed a visual object recognition experiment in complex scenes with auditory stimuli.
  • Recorded brain activation signals using electroencephalography (EEG) across different sensory modalities (audio-visual, visual, audio).
  • Applied conjunction analysis, 'max criterion' rule, and functional connectivity analysis to brain data.

Main Results:

  • Semantically consistent sounds significantly facilitate the recognition of noisy images, demonstrating category selectivity.
  • Multisensory integration areas in the brain are modulated by the addition of noise to visual stimuli.
  • Functional connectivity analysis identified the prefrontal cortex, superior temporal sulcus (STS), and lateral occipital lobe as key network hubs.

Conclusions:

  • Auditory stimuli can enhance visual perception in noisy conditions, highlighting the brain's multisensory processing capabilities.
  • The identified brain network hubs play a critical role in coordinating multisensory information.
  • Findings contribute to understanding neural mechanisms underlying perception and have implications for data-driven product appearance design.