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Sensory Perception: Organization of the Somatosensory System

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...

What is a Sensory System?

What is a Sensory System?

Sensory systems detect stimuli—such as light and sound waves—and transduce them into neural signals that can be interpreted by the nervous system. In addition to external stimuli detected by the senses, some sensory systems detect internal stimuli—such as the proprioceptors in muscles and tendons that send feedback about limb position.

Neural Circuits

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...

Parallel Processing

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

Somatosensation

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.

The Retina

The Retina

The retina is a layer of nervous tissue at the back of the eye that transduces light into neural signals. This process, called phototransduction, is carried out by rod and cone photoreceptor cells in the back of the retina.

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Related Experiment Video

Updated: Apr 11, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

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Published on: March 25, 2014

Predictive information in a sensory population.

Stephanie E Palmer¹, Olivier Marre², Michael J Berry²

¹Joseph Henry Laboratories of Physics and Lewis-Sigler Institute for Integrative Genomics, and.

Proceedings of the National Academy of Sciences of the United States of America

|June 4, 2015

Summary

This summary is machine-generated.

The brain predicts future sensory information using early visual processing. Retinal ganglion cells efficiently encode this predictive information, crucial for guiding behavior.

Keywords:

information theory neural coding retina

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Area of Science:

Neuroscience
Computational Neuroscience
Visual System Research

Background:

Guiding behavior relies on the brain's ability to predict future sensory input values.
Predictive coding is essential for neural computation and decision-making.

Purpose of the Study:

To investigate if efficient predictive computation begins in the early visual system.
To quantify predictive information in retinal ganglion cells.
To explore how this information is encoded and utilized by downstream neurons.

Main Methods:

Computed the information carried by retinal ganglion cell groups about future visual input states.
Analyzed the statistical structure of visual inputs to determine physical limits of predictive information.
Investigated feature selectivity in downstream predictor neurons.

Main Results:

Nearly all retinal ganglion cells participate in groups that encode predictive information near the theoretical limit.
Retinal cell groups carry substantial information about their future activity.
Downstream neurons compress and encode this predictive information with feature selectivity.

Conclusions:

Efficient predictive computation is present at the earliest stages of the visual system.
Retinal ganglion cells play a key role in encoding future sensory information.
Predictive information representation is a fundamental principle across neural computation stages.