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Related Concept Videos

Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

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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...
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Motor and Sensory Areas of the Cortex01:14

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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.
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Vision

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Somatosensation01:33

Somatosensation

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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.
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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...
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Visual System01:26

Visual System

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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
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Related Experiment Video

Updated: Mar 31, 2026

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
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Sensory uncertainty decoded from visual cortex predicts behavior.

Ruben S van Bergen1, Wei Ji Ma2, Michael S Pratte3

  • 1Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands.

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|October 27, 2015
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Summary

Bayesian theories suggest neural activity encodes sensory uncertainty as probability distributions. This study provides direct neural evidence from the human visual cortex, showing these distributions influence perceptual decisions.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • Bayesian theories of neural coding posit that sensory uncertainty is represented by probability distributions in neural activity.
  • Empirical evidence directly linking neural population activity to these probability distributions has been limited.

Purpose of the Study:

  • To investigate whether probability distributions representing sensory uncertainty can be directly estimated from human neural activity.
  • To determine if this neural representation of uncertainty influences perceptual decision-making.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was employed to measure brain activity.
  • A generative model-based analysis was used to estimate probability distributions from neural population data in the visual cortex.

Main Results:

  • Probability distributions reflecting sensory uncertainty were reliably estimated from human visual cortex activity.
  • Evidence suggests that individuals utilize this neural representation of uncertainty in their perceptual decisions.

Conclusions:

  • This study provides direct neural evidence supporting Bayesian theories of sensory uncertainty representation.
  • Neural activity in the human visual cortex encodes probability distributions that inform perceptual choices.