Jove
Visualize
Contact Us

Related Concept Videos

Major Somatic Sensory Pathways01:28

Major Somatic Sensory Pathways

1.3K
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...
1.3K
Sensory Modalities01:15

Sensory Modalities

1.9K
Sensation typically is the process by which the sensory receptors and sense organs detect stimuli from the internal and external environment and transmit this information to the central nervous system for processing.
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
1.9K
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

3.9K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
3.9K
Overview of Somatic Sensory Pathways01:29

Overview of Somatic Sensory Pathways

6.1K
Somatic sensory or somatosensory pathways refer to the neural pathways that carry information related to touch, pressure, pain, temperature, and proprioception from the skin, muscles, tendons, and joints to the brain. These pathways involve several stages of processing and integration of sensory information.
The somatosensory system is divided into three main pathways: the dorsal (or posterior) column-medial lemniscus, spinothalamic (or anterolateral), and spinocerebellar pathways.
The dorsal...
6.1K
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

8.1K
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...
8.1K
Introduction to Special Senses01:26

Introduction to Special Senses

6.2K
Sensory receptors play an integral part in comprehending our external and internal environments. They receive diverse stimuli, converting them into the nervous system's electrochemical signals. This conversion occurs as the stimulus alters the sensory neuron's cell membrane potential, instigating the generation of an action potential. This action potential is subsequently transmitted to the central nervous system (CNS), which integrates with other sensory data or higher cognitive...
6.2K

You might also read

Related Articles

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

Sort by
Same author

Visual uncertainty and task demands shape active sensing strategies in mice.

bioRxiv : the preprint server for biology·2026
Same author

Author Correction: Foundation model of neural activity predicts response to new stimulus types.

Nature·2026
Same author

Functional bipartite invariance in mouse primary visual cortex receptive fields.

Nature neuroscience·2026
Same author

Belief embodiment through eye movements facilitates memory-guided navigation.

Nature communications·2025
Same author

Transfer learning via distributed brain recordings enables reliable speech decoding.

Nature communications·2025
Same author

Low-Rank Tensor Encoding Models Decompose Natural Speech Comprehension Processes.

bioRxiv : the preprint server for biology·2025
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 Experiment Video

Updated: Oct 3, 2025

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

12.8K

Influence of sensory modality and control dynamics on human path integration.

Akis Stavropoulos1, Kaushik J Lakshminarasimhan2, Jean Laurens3

  • 1Center for Neural Science, New York University, New York, United States.

Elife
|February 18, 2022
PubMed
Summary

Human path integration accuracy depends on sensory cues and control dynamics. Vestibular input alone is insufficient for precise navigation without sustained acceleration, impacting spatial awareness.

Keywords:
control dynamicshumanmotion dynamicsnavigationneuroscienceoptic flowpath integrationvestibular

More Related Videos

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
09:49

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

26.4K
Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

9.7K

Related Experiment Videos

Last Updated: Oct 3, 2025

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

12.8K
Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
09:49

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

26.4K
Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

9.7K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Robotics

Background:

  • Path integration is crucial for spatial navigation, relying on self-motion cues.
  • Understanding how sensory information and internal dynamics influence this process is key.

Purpose of the Study:

  • To investigate the impact of visual/vestibular cues and control dynamics (velocity/acceleration) on human path integration.
  • To determine the conditions under which vestibular signals alone support accurate navigation.

Main Methods:

  • A novel motion-cueing algorithm was used in a virtual reality environment.
  • Participants performed a path integration task, steering to a target using a joystick.
  • Sensory modality and control dynamics were randomized across trials.

Main Results:

  • Comparable accuracy was achieved with visual and vestibular cues only when participants controlled acceleration.
  • Vestibular signals alone were insufficient for accurate path integration without sustained acceleration.
  • Performance showed a failure to adapt to changing control dynamics, attributed to estimation bias.

Conclusions:

  • Accurate path integration relies on a combination of sensory feedback and an accurate internal model of control dynamics.
  • Deviations in the internal model of dynamics impair navigation in dynamic environments, even with continuous sensory input.
  • This highlights the importance of accurate internal models for robust spatial navigation.