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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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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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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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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.
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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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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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Cross-Modal Multivariate Pattern Analysis
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Efficient sensory coding of multidimensional stimuli.

Thomas E Yerxa1, Eric Kee2, Michael R DeWeese1,3,4

  • 1Department of Physics, University of California, Berkeley, Berkeley, California, United States of America.

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|September 24, 2020
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Summary
This summary is machine-generated.

Sensory neurons efficiently encode environmental information using tuning curves. This study generalizes these models to multidimensional stimuli, offering new ways to interpret neuronal population data.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Information Theory

Background:

  • The efficient coding hypothesis posits that sensory systems optimize information encoding.
  • Sensory neurons use tuning curves to represent stimulus information.
  • Existing models focus on one-dimensional (1-D) stimuli, but many neurons process multidimensional inputs.

Purpose of the Study:

  • To mathematically generalize one-dimensional (1-D) tuning curve models to predict optimally efficient multidimensional tuning curves.
  • To explore the implications of these generalized models for understanding neuronal population encoding.

Main Methods:

  • Developed a mathematical framework to extend 1-D tuning curve efficiency calculations to multiple dimensions.
  • Applied principles of efficient coding to derive predictions for multidimensional tuning curve distributions.

Main Results:

  • Proposed a generalized mathematical model for optimally efficient multidimensional tuning curves.
  • Demonstrated that not all tuning curve properties (e.g., gain, bandwidth) are equally informative for assessing population encoding efficiency.

Conclusions:

  • The developed model provides a theoretical basis for understanding efficient neural coding in multidimensional sensory systems.
  • Findings suggest a re-evaluation of how neuronal population efficiency is assessed, highlighting the importance of specific tuning curve attributes.