Noise and metabolic free energy in high-order biocognition
- Published
- Accepted
- Subject Areas
- Biophysics, Mathematical Biology, Neuroscience
- Keywords
- Biocognition, Black-Scholes model, Data Rate Theorem, Metabolic free energy
- Copyright
- © 2015 Wallace
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2015. Noise and metabolic free energy in high-order biocognition. PeerJ PrePrints 3:e774v1 https://doi.org/10.7287/peerj.preprints.774v1
Abstract
We examine the possible role of 'noise' as a control signal for large-scale cognitive biological phenomena that recruit simpler cognitive modules into temporary, dynamic working coalitions. Noise color, as well as magnitude, may convey essential control information, a possibly important extension of the Data Rate Theorem. An adaptation of the Black-Scholes model suggests the availability of metabolic free energy can determine rates of coalition biocognition in the presence of noise. Evolutionary process may have exapted colored noise as a subtle tool for the regulation of biological phenomena, supplementing direct molecular signals. Experimental verification of this conjecture may be similarly subtle.
Author Comment
This applies a form of inverse stochastic resonance to macroscopic biological processes.