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

Somatosensation01:33

Somatosensation

43.8K
The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
43.8K
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

11.5K
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...
11.5K
Sensory Modalities01:15

Sensory Modalities

4.0K
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...
4.0K
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

7.0K
It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
7.0K
Major Somatic Sensory Pathways01:28

Major Somatic Sensory Pathways

3.0K
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...
3.0K
Introduction to Special Senses01:26

Introduction to Special Senses

7.8K
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...
7.8K

You might also read

Related Articles

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

Sort by
Same author

Response Requirements Shape the Spatial Coding of Location-Specific Adjustments to Conflict Frequency.

Open mind : discoveries in cognitive science·2026
Same author

Dynamic sensor adaptation based on efferent feedback for adaptive bio-inspired sound source localization.

Frontiers in neuroscience·2026
Same author

Response Preparation and the Simon Effect: Experimental and Model-Based Analyses.

Journal of cognition·2026
Same author

The perils of the first try: experimental evidence for visuomotor calibration in darts and hammering.

Psychological research·2025
Same author

Postural stability and optic flow sensitivity following sight restoration from congenital bilateral cataracts.

Proceedings. Biological sciences·2025
Same author

Grasping New Material Densities.

Multisensory research·2025

Related Experiment Video

Updated: Feb 20, 2026

Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder
09:13

Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder

Published on: April 22, 2015

17.2K

Kinematic cross-correlation induces sensory integration across separate objects.

Nienke B Debats1,2, Marc O Ernst3, Herbert Heuer1,4

  • 1Department of Cognitive Neuroscience, Universität Bielefeld, Universitätsstrasse 25, 33615, Bielefeld, Germany.

The European Journal of Neuroscience
|October 26, 2017
PubMed
Summary
This summary is machine-generated.

Sensory integration between hand and cursor positions relies on kinematic correlations, not internal models. This suggests optimal integration applies to separate objects with kinematic links, expanding current understanding.

Keywords:
agencybayesian integrationperceptionsensorimotor controltool-use

More Related Videos

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

13.2K
Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.5K

Related Experiment Videos

Last Updated: Feb 20, 2026

Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder
09:13

Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder

Published on: April 22, 2015

17.2K
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

13.2K
Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.5K

Area of Science:

  • Neuroscience
  • Human-Computer Interaction
  • Motor Control

Background:

  • Perceived hand and cursor positions in cursor-control tasks show a bias towards each other.
  • This bias aligns with reliability-based weighting in optimal multisensory integration.
  • Previous research suggested optimal integration is limited to single-source sensory signals.

Purpose of the Study:

  • To investigate the crucial aspects of the hand-cursor kinematic relation for sensory integration.
  • To determine if cross-correlation of kinematic variables or an internal model of transformation drives integration.
  • To test the applicability of optimal integration to separate objects linked by kinematics.

Main Methods:

  • Participants performed out-and-back movements in a semicircular workspace.
  • Judgments of hand or cursor boundary impact position were recorded.
  • Kinematic correlations and internal model acquisition were manipulated across conditions.

Main Results:

  • Sensory integration was strong with high kinematic correlations (straight-to-straight mapping).
  • Integration was significantly reduced with lower kinematic correlations (straight-to-curved mapping).
  • Integration was unaffected by the inability to form an internal model of the transformation.

Conclusions:

  • Kinematic correlations, not internal models, are crucial for eliciting hand-cursor sensory integration.
  • Optimal multisensory integration extends to separate objects connected by kinematic relationships.
  • These findings highlight the role of correlations in multisensory integration across diverse sensory sources.