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Related Concept Videos

Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

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 stimulus...
Somatosensation01:33

Somatosensation

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.
Sensory Modalities01:15

Sensory Modalities

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...
Overview of Somatic Sensory Pathways01:29

Overview of Somatic Sensory Pathways

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...
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
Introduction to Special Senses01:26

Introduction to Special Senses

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 functions.

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Related Experiment Video

Updated: May 20, 2026

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

Modeling body state-dependent multisensory integration.

Martin V Butz1, Anna Belardinelli, Stephan Ehrenfeld

  • 1Department of Computer Science, University of Tübingen, Tübingen, Germany. martin.butz@uni-tuebingen.de

Cognitive Processing
|July 19, 2012
PubMed
Summary
This summary is machine-generated.

The brain integrates tactile and visual information, with body position influencing perception. A computational model replicates how tactile cues alter visual judgments based on arm orientation.

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

Published on: May 10, 2012

Related Experiment Videos

Last Updated: May 20, 2026

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

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

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Sensory Integration

Background:

  • Multisensory integration often approaches Bayesian optimality.
  • Sensory modalities use body-relative frames, necessitating accurate information transformation.
  • Tactile stimuli can bias visual perception, dependent on body posture.

Purpose of the Study:

  • To investigate posture-dependent multisensory integration.
  • To develop a computational model of multimodal arm representation.
  • To explain how tactile cues influence visual judgments via a head-centered frame.

Main Methods:

  • Experimental manipulation of tactile rotation on the palm.
  • Development of a modular, multimodal arm model.
  • Integration of sensory information using Bayesian principles and Kalman filtering.

Main Results:

  • Tactile rotation bias on visual judgment varied with palm orientation.
  • The model successfully mimicked posture-dependent motion cue integration.
  • Proprioceptive and tactile information influenced visual processing and attention.

Conclusions:

  • Body posture significantly modulates multisensory integration.
  • Computational models can capture complex sensory interactions.
  • Top-down influences from tactile and proprioceptive senses impact visual perception and attention.