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Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood

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Published on: November 28, 2018

Coding Principles in Adaptation.

Alison I Weber¹, Kamesh Krishnamurthy², Adrienne L Fairhall^1,3

¹Department of Physiology and Biophysics and Computational Neuroscience Center, University of Washington, Seattle, Washington 98195, USA; email: aiweber@uw.edu, fairhall@uw.edu.

Annual Review of Vision Science

|July 9, 2019

Summary

This summary is machine-generated.

Neural adaptation, a widespread process in the nervous system, helps organisms respond effectively to changing environments. This review explores theories explaining the purpose of adaptation, focusing on the visual system.

Keywords:

efficient coding inference neural coding predictive coding redundancy reduction surprise

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Area of Science:

Neuroscience
Computational Neuroscience
Sensory Systems

Background:

Adaptation is a fundamental principle observed across all levels of neural processing.
Manifestations include spike frequency adaptation, receptive field plasticity, and enhanced responses to novelty.

Purpose of the Study:

To explore the functional roles of diverse adaptive phenomena in the nervous system.
To review and synthesize various theoretical frameworks explaining neural adaptation.
To clarify relationships and distinctions among different adaptation theories.

Main Methods:

Literature review of theoretical frameworks and empirical observations of adaptation.
Focus on adaptation within the visual system.
Cross-connections to other sensory systems.

Main Results:

Adaptation serves crucial functions in efficient information processing and response to environmental changes.
Multiple, often overlapping, theories attempt to explain the purpose of adaptation.
Observed phenomena of adaptation are linked to these theoretical explanations.

Conclusions:

Understanding neural adaptation is key to comprehending nervous system function.
The visual system provides a rich model for studying adaptation principles.
Further research can integrate findings across sensory systems to build a unified theory of adaptation.