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Sound Waves: Interference

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Sound waves can be modeled either as longitudinal waves, wherein the molecules of the medium oscillate around an equilibrium position, or as pressure waves. When two identical waves from the same source superimpose on each other, the combination of two crests or two troughs results in amplitude reinforcement known as constructive interference. If two identical waves, that are initially in phase, become out of phase because of different path lengths, the combination of crests with troughs...

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Related Experiment Video

Updated: May 9, 2026

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro

Published on: August 28, 2019

Adaptive noise.

Mark Viney¹, Sarah E Reece

¹School of Biological Sciences, University of Bristol, Woodland Road, Bristol BS8 1UG, UK. mark.viney@bristol.ac.uk

Proceedings. Biological Sciences

|August 2, 2013

Summary

This summary is machine-generated.

Biological noise, often seen as error, can be adaptive. Gene expression noise generates beneficial phenotypic differences in genetically identical cells, suggesting evolution shapes this variability for fitness advantages.

Keywords:

bet hedging evolution variation

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Habituation and Prepulse Inhibition of Acoustic Startle in Rodents

Habituation and Prepulse Inhibition of Acoustic Startle in Rodents

Published on: September 1, 2011

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Last Updated: May 9, 2026

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro

Published on: August 28, 2019

Habituation and Prepulse Inhibition of Acoustic Startle in Rodents

Habituation and Prepulse Inhibition of Acoustic Startle in Rodents

Published on: September 1, 2011

Area of Science:

Evolutionary biology
Systems biology
Genetics

Background:

Biological systems traditionally aim to minimize noise (random fluctuations) as it implies error or disorder.
Recent research indicates that gene expression can be inherently noisy.
This noise is genetically controllable and varies across genes and networks.

Purpose of the Study:

To review the sources of noise in gene expression.
To explore the adaptive potential of biological noise.
To emphasize the necessity of an evolutionary perspective in understanding noise-driven phenotypes.

Main Methods:

Literature review of studies on gene expression noise.
Analysis of genetic control mechanisms for noise.
Examination of phenotypic variation generated by noise.

Main Results:

Gene expression noise can lead to phenotypic diversity among genetically identical cells.
Such phenotypic differences can confer fitness benefits.
Gene networks can exhibit bistability, promoting bet-hedging strategies through noise.

Conclusions:

Biological noise, particularly in gene expression, can be an adaptive trait.
Evolutionary principles are crucial for understanding how noise contributes to organismal phenotypes.
Further research applying evolutionary rigor is needed to fully elucidate the adaptive role of noise.