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Stochastic Resonance Can Drive Adaptive Physiological Processes

Bradly J. Alicea¹

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1. Michigan State University

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Document Type:

Manuscript

Date:

Received 01 June 2009 15:04 UTC; Posted 02 June 2009

Subjects:

Neuroscience

Tags:

• neural computation
• Complexity
• Stochastic resonance

Abstract:

Stochastic resonance (SR) is a concept from the physics and engineering communities that has applicability to both systems physiology and other living systems. In this paper, it will be argued that stochastic resonance plays a role in driving behavior in neuromechanical systems. The theory of stochastic resonance will be discussed, followed by a series of expected outcomes, and two tests of stochastic resonance in an experimental setting. These tests are exploratory in nature, and provide a means to parameterize systems that couple biological and mechanical components. Finally, the potential role of stochastic resonance in adaptive physiological systems will be discussed.

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License:

This document is licensed to the public under the Creative Commons Attribution 3.0 License

How to cite this document:

Alicea, Bradly. Stochastic Resonance Can Drive Adaptive Physiological Processes. Available from Nature Precedings <http://hdl.handle.net/10101/npre.2009.3301.1> (2009)

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