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Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro
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Noise in the nervous system.

A Aldo Faisal1, Luc P J Selen, Daniel M Wolpert

  • 1Computational and Biological Learning Lab, Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ, UK. aaf23@cam.ac.uk

Nature Reviews. Neuroscience
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Summary
This summary is machine-generated.

Noise, or random signal disturbances, impacts nervous system function. This study quantifies noise sources and their effects on cellular and behavioral variability, exploring the nervous system

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Area of Science:

  • Neuroscience
  • Information Processing
  • Systems Biology

Background:

  • Noise, defined as random signal disturbances, is a fundamental challenge in biological information processing.
  • Its impact spans all levels of nervous system function, from molecular interactions to behavior.
  • Quantifying the sources and effects of neural noise has been a recent focus in neuroscience.

Purpose of the Study:

  • To review and synthesize current understanding of noise sources within the nervous system.
  • To elucidate the contribution of noise to trial-to-trial variability at cellular and behavioral levels.
  • To explore how the nervous system processes and potentially benefits from noise.

Main Methods:

  • Review of experimental findings on neural noise.
  • Analysis of computational models of neural systems.
  • Integration of data across molecular, cellular, and behavioral levels.

Main Results:

  • Multiple sources of noise contribute significantly to variability in neural and behavioral responses.
  • Noise impacts neuronal network function across different scales.
  • The nervous system employs specific principles to mitigate the detrimental effects of noise.

Conclusions:

  • Understanding neural noise is crucial for comprehending nervous system function and information processing.
  • The nervous system exhibits adaptive strategies to manage noise.
  • Noise may confer certain advantages in specific neural computations.