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Related Concept Videos

Sensory Perception: Organization of the Somatosensory System01:11

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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:
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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.
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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...
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Sensory receptors are vital in our ability to perceive and interpret the world. Sensory receptors are specialized cells in the peripheral nervous system that respond to various stimuli and enable one to experience different sensations. Based on specific criteria, sensory receptors are classified into distinct types.
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A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional...
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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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Related Experiment Video

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New Methods to Study Gustatory Coding
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A simple model of optimal population coding for sensory systems.

Eizaburo Doi1, Michael S Lewicki1

  • 1Electrical Engineering and Computer Science Department, Case Western Reserve University, Cleveland, Ohio, United States of America.

Plos Computational Biology
|August 15, 2014
PubMed
Summary

Sensory systems efficiently encode environmental information by optimally reducing neural redundancy while compensating for noise and distortion. This new model predicts retinal receptive field structures and their adaptation to light.

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Area of Science:

  • Computational Neuroscience
  • Systems Neuroscience
  • Vision Science

Background:

  • Sensory systems must infer environmental information efficiently.
  • Neural encoding aims to reduce signal redundancy for efficiency.
  • Redundancy can enhance robustness to noise, but encoding raw signals is challenging due to distortion and noise, all under biological resource constraints.

Purpose of the Study:

  • To analyze a theoretical model of sensory coding incorporating redundancy, noise compensation, and varying input-output cell ratios.
  • To apply this model to retinal processing and predict neural codes at different eccentricities.
  • To compare the model's predictions with known properties of retinal receptive fields.

Main Methods:

  • Developed a theoretical model for optimal sensory coding.
  • Incorporated redundancy, noise compensation, and arbitrary input-to-output cell ratios.
  • Applied the model to the retina, analyzing photoreceptor to retinal ganglion cell ratios.

Main Results:

  • The model conveys more information than previous redundancy reduction models.
  • Redundancy reduction is near-optimal with limited encoding units (e.g., peripheral retina).
  • Identified multiple optimal solutions with varying receptive field structures; one maximizing spatial locality aligns with retinal properties.
  • Predicted less change in receptive field structure with light adaptation at higher input-to-output ratios.

Conclusions:

  • The model provides a framework for understanding optimal sensory coding under biological constraints.
  • It explains the trade-offs between redundancy, noise compensation, and information transmission in neural representations.
  • The findings offer insights into the diversity and adaptation of retinal receptive fields across different retinal locations.