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

Subliminal Perception01:15

Subliminal Perception

804
Subliminal perception refers to the processing of sensory information that occurs below the level of conscious awareness. Researchers study subliminal perception by presenting a stimulus, such as a word or image, very quickly, typically around 50 milliseconds. This rapid presentation is often followed by another stimulus, such as a pattern of dots or lines, which blocks further mental processing of the initial stimulus. As a result, if participants cannot identify the initial stimulus better...
804
Factors Affecting Perception01:25

Factors Affecting Perception

2.8K
Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
An illustrative example of a perceptual set is the scenario where an airline pilot told...
2.8K
Encoding01:19

Encoding

873
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
873
Perception01:28

Perception

1.2K
Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
1.2K
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

1.3K
Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
1.3K
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K

You might also read

Related Articles

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

Sort by
Same author

Structure Guided Discovery of Novel Pan Metallo-β-Lactamase Inhibitors with Improved Gram-Negative Bacterial Cell Penetration.

Journal of medicinal chemistry·2024
Same author

Involvement of GSTP1 in low dose radiation-induced apoptosis in GM12878 cells.

Ecotoxicology and environmental safety·2024
Same author

Fine mapping of ClLOX, a QTL for powdery mildew resistance in watermelon (Citrullus lanatus L.).

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2024
Same author

miR615-3p inhibited FBLN1 and osteogenic differentiation of umbilical cord mesenchymal stem cells by associated with YTHDF2 in a m<sup>6</sup>A-miRNA interaction manner.

Cell proliferation·2024
Same author

Group 1 innate lymphoid cell activation via recognition of NKG2D and liver resident macrophage MULT-1: Collaborated roles in triptolide induced hepatic immunotoxicity in mice.

Ecotoxicology and environmental safety·2024
Same author

Phylogenetic relationship of Prohemistomum vivax to other trematodes based on the internal transcribed spacer region and mitochondrial genes.

Parasitology research·2024
Same journal

ASSR-Net: Anisotropic Structure-Aware and Spectrally Recalibrated Network for Hyperspectral Image Fusion.

IEEE transactions on neural networks and learning systems·2026
Same journal

PIMPC-GNN: Physics-Informed Multiphase Consensus Learning for Enhancing Imbalanced Node Classification in Graph Neural Networks.

IEEE transactions on neural networks and learning systems·2026
Same journal

Quantum Rényi α-Entropies for Graph Characterization.

IEEE transactions on neural networks and learning systems·2026
Same journal

LANet: A Lightweight and Accurate Balanced Network Based on State Space Models for Real-Time Semantic Segmentation.

IEEE transactions on neural networks and learning systems·2026
Same journal

MENDNet: Memory-Enhanced Dependency Network for Multistock Movement Prediction.

IEEE transactions on neural networks and learning systems·2026
Same journal

Temporal Mask-Embedding Learning and Query-Refined Head Network for Visual Tracking.

IEEE transactions on neural networks and learning systems·2026
See all related articles

Related Experiment Video

Updated: Feb 11, 2026

A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras
03:56

A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras

Published on: October 5, 2018

8.0K

Egocentric Head Direction Encoding and Perception Model Based on an Adaptive Ring Attractor Network.

Zugang Chen, Haodong Wang, Jing Li

    IEEE Transactions on Neural Networks and Learning Systems
    |February 9, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel neural network system for head direction perception, crucial for navigation in embodied intelligence. The system achieves 94.4% accuracy, significantly advancing agent orientation capabilities.

    More Related Videos

    Visualizing Visual Adaptation
    04:43

    Visualizing Visual Adaptation

    Published on: April 24, 2017

    9.6K
    Capturing Representative Hand Use at Home Using Egocentric Video in Individuals with Upper Limb Impairment
    06:25

    Capturing Representative Hand Use at Home Using Egocentric Video in Individuals with Upper Limb Impairment

    Published on: December 23, 2020

    3.0K

    Related Experiment Videos

    Last Updated: Feb 11, 2026

    A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras
    03:56

    A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras

    Published on: October 5, 2018

    8.0K
    Visualizing Visual Adaptation
    04:43

    Visualizing Visual Adaptation

    Published on: April 24, 2017

    9.6K
    Capturing Representative Hand Use at Home Using Egocentric Video in Individuals with Upper Limb Impairment
    06:25

    Capturing Representative Hand Use at Home Using Egocentric Video in Individuals with Upper Limb Impairment

    Published on: December 23, 2020

    3.0K

    Area of Science:

    • Neuroscience
    • Robotics
    • Artificial Intelligence

    Background:

    • Head direction perception is vital for navigation and orientation in biological and artificial systems.
    • Existing models for head direction sensing, encoding, and perception are lacking.
    • Embodied intelligence research requires robust head direction perception for agents like robots and drones.

    Purpose of the Study:

    • To propose a novel neural network system for head direction perception.
    • To develop a sensor-encoder-processor framework inspired by neuroscience.
    • To improve the accuracy and efficiency of head direction estimation in artificial agents.

    Main Methods:

    • Developed an adaptive ring attractor network (RAN) as the sensor component, utilizing Hebbian learning.
    • Implemented a neural encoder to convert nerve impulses into sparse distributed representation vectors.
    • Employed a brain-inspired, low-energy Hierarchical Temporal Memory (HTM) model as the central processor for prediction.
    • Integrated these components into a simulated robot for testing.

    Main Results:

    • The proposed system achieved a prediction accuracy of 94.4% for head direction.
    • The system demonstrated a low mean error of 0.062.
    • This represents an order-of-magnitude improvement over existing models.
    • The developed system shows significant potential for real-world applications.

    Conclusions:

    • The novel neural network system effectively addresses the need for accurate head direction perception.
    • The sensor-encoder-processor framework, inspired by neuroscience, offers a viable solution for embodied intelligence.
    • The system's high accuracy and low error rate demonstrate its superiority over current methods.