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

Somatosensory, Motor, and Association Cortex01:24

Somatosensory, Motor, and Association Cortex

432
The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at...
432
Major Somatic Sensory Pathways01:28

Major Somatic Sensory Pathways

928
Sensory impulses related to touch, pressure, vibration, and proprioception from various body parts, such as the limbs, trunk, neck, and posterior head, travel to the cerebral cortex through the posterior column-medial lemniscus pathway. The pathway’s name derives from the two white-matter tracts that convey the impulses: the spinal cord's posterior column and the brainstem's medial lemniscus. First-order sensory neurons extend their axons into the spinal cord, forming the...
928
Role of Cerebellum and Prefrontal Cortex in Memory01:14

Role of Cerebellum and Prefrontal Cortex in Memory

387
The cerebellum, while traditionally associated with motor control, also plays a crucial role in memory, particularly in procedural memory, which involves learning motor tasks that become automatic through repetition. For example, studies have shown that when the cerebellum is damaged, individuals or animals lose the ability to learn conditioned motor responses, such as the conditioned eye-blink response in classical conditioning experiments with rabbits. This study demonstrates the...
387
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
Centroid of a Body: Problem Solving01:03

Centroid of a Body: Problem Solving

1.1K
The centroid of a body is a crucial concept in engineering and physics. Finding the centroid of a body can help determine its stability, its balance point, and even its design. In this context, consider a thin wire bent in the form of a quarter circular arc. Polar coordinates are used to calculate the centroid. The wire is first divided into small differential elements of a length equal to the radius multiplied by the differential angle.
The x-coordinates and y-coordinates of each element's...
1.1K
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

3.3K
The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor...
3.3K

You might also read

Related Articles

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

Sort by
Same author

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 author

Molecular characterization of Blastocystis sp., Cryptosporidium spp., and Giardia spp. in Eld's deer (Rucervus eldii) and their forest rangers in Hainan, China.

Parasites & vectors·2026
Same author

Association between Impaired Lung Function and Pulmonary Perfusion Defects Assessed by Phase-resolved Functional Lung MRI.

Radiology. Cardiothoracic imaging·2026
Same author

Beyond the Base Case: Payment Perspective and Ductal Carcinoma In Situ Management Assumptions in Artificial-Intelligence-Assisted Breast Screening Models.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research·2026
Same author

Potential factors influencing quality of life in Chinese adult women with urinary incontinence: a nationwide cross-sectional study.

World journal of urology·2026
Same author

Machine learning and SHAP interpretation for predicting coronary heart disease-diabetes comorbidity with dietary antioxidants.

Scientific reports·2026

Related Experiment Video

Updated: Jun 12, 2025

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
06:17

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

1.9K

Visuomotor Navigation for Embodied Robots With Spatial Memory and Semantic Reasoning Cognition.

Qiming Liu, Guangzhan Wang, Zhe Liu

    IEEE Transactions on Neural Networks and Learning Systems
    |September 17, 2024
    PubMed
    Summary

    This study introduces a novel navigation framework, the hierarchical topology-semantic cognitive navigation (HTSCN), integrating memory and reasoning for enhanced embodied agent intelligence. HTSCN improves decision-making and path efficiency in image-goal navigation tasks.

    More Related Videos

    An Open-Source Virtual Reality System for the Measurement of Spatial Learning in Head-Restrained Mice
    08:59

    An Open-Source Virtual Reality System for the Measurement of Spatial Learning in Head-Restrained Mice

    Published on: March 3, 2023

    2.0K
    A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
    06:28

    A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

    Published on: August 26, 2018

    5.9K

    Related Experiment Videos

    Last Updated: Jun 12, 2025

    Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
    06:17

    Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

    Published on: January 26, 2024

    1.9K
    An Open-Source Virtual Reality System for the Measurement of Spatial Learning in Head-Restrained Mice
    08:59

    An Open-Source Virtual Reality System for the Measurement of Spatial Learning in Head-Restrained Mice

    Published on: March 3, 2023

    2.0K
    A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
    06:28

    A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

    Published on: August 26, 2018

    5.9K

    Area of Science:

    • Robotics
    • Artificial Intelligence
    • Cognitive Science

    Background:

    • Embodied agents require autonomous cognition for intelligent decision-making.
    • Current agents struggle to integrate episodic memory and long-term reasoning effectively.
    • Heterogeneous modalities of memory and reasoning limit comprehensive robotic intelligence.

    Purpose of the Study:

    • To introduce a unified framework, HTSCN, for seamless integration of memory and reasoning in embodied agents.
    • To enhance decision-making performance and overall intelligence in robots.
    • To address the limitations of existing coupling mechanisms between cognitive abilities.

    Main Methods:

    • Developed a hierarchical topology-semantic cognitive navigation (HTSCN) framework.
    • Represented memory and reasoning using a topological map and semantic relation graph within a dual-layer graph structure.
    • Incorporated a neural-based cognition extraction process for cross-modal relationship capture.

    Main Results:

    • HTSCN significantly enhances performance and path efficiency in image-goal navigation compared to existing cognitive structures.
    • Visualization and interpretability experiments confirm the positive impact of integrated memory, reasoning, and their learned relationships.
    • The framework demonstrated feasibility and adaptability in real-world deployment.

    Conclusions:

    • HTSCN effectively bridges different cognitive modalities, enhancing embodied agent intelligence.
    • The integrated approach improves navigation performance and path efficiency.
    • The framework shows promise for real-world robotic applications requiring advanced cognitive capabilities.