Information and metabolism in bacterial chemotaxis

Entropy

Volumn 15, Issue 1, 2013, Pages 311-326

  Auletta, Gennaro ^a  

^a UNIVERSITY OF CASSINO AND SOUTHERN LAZIO   (Italy)

Author keywords

Chemotaxis; Feedback; Information control; Prior beliefs; Programmed goal; Signal; Surprisal

Indexed keywords

EID: 84873205299     PISSN: None     EISSN: 10994300     Source Type: Journal    
DOI: 10.3390/e15010311     Document Type: Article

References (26)

1. Bray, D. Cell Movements: From Molecules to Motility, 2nd ed.; Garland: New York, NY, USA, 2001.
2. Bray, D. Wetware: A Computer in every Living Cell; Yale University Press: New Haven, CT, USA, 2009.
3. Alexandre, G. Coupling metabolism and chemotaxis-dependent behaviours by energy taxis receptors. Microbiology 2010, 156, 2283-2293.
4. Egbert, M.D.; Barandiaran, X.E.; Di Paolo, E.A. A minimal model of metabolism-based chemotaxis. PLoS Comput. Biol. 2010, doi:10.1371/journal.pcbi.1001004.
5. Friston, K.J.; Kilner, J.; Harrison, L. A free energy principle for the brain. J. Physiol. 2006, 100, 70-87.
6. Friston, K.J.; Stephan, K.E. Free-energy and the brain. Synthese 2007, 159, 417-458.
7. Friston, K.J.; Kiebel, S. Predictive coding under the free-energy principle. Phil. Trans. R. Soc. 2009, B364, 1211-1221.
8. Friston, K.J.; Daunizeau, J.; Kilner, J.; Kiebel, S.J. Action and behavior: A free-energy formulation. Biol. Cybern. 2010, 102, 227-260.
9. Auletta, G. Cognitive Biology: Dealing with Information from Bacteria to Minds; University Press: Oxford, UK, 2011.
10. McKay, D.J.C. A free-energy minimization algorithm for decoding and cryptanalysis. Electron. Lett. 1995, 31, 445-447.
11. Conant, R.C.; Ashby, R.W. Every good regulator of a system must be a model of that system. Int. J. Syst. Sci. 1970, 1, 89-97.
12. Haken, H. Synergetics: An Introduction, 2nd ed.; Springer: Berlin, Germany, 1977.
13. Goldstein, R.A.; Soyer, O.S. Evolution of taxis responses in virtual bacteria: Non-adaptive dynamics. PLOS Comput. Biol. 2008, 4, e100008.
14. Friston, K.J.; Thornton, C.; Clark, A. Free-energy minimization and the dark-room problem. Front. Psychol. 2012, doi: 10.3389/fpsyg.2012.00130.
15. Auletta, G. Inferences with Information. Uniascit 2012, 2, 216-221.
16. Monod, J. Le hasard et la nécessité; Seuil: Paris, France, 1970.
17. Arnosti, D.N.; Chamberlin, M.J. Secondary σ factor controls transcription of flagellar and chemotaxis genes in Escherichia coli. Proc. Natl. Acad. Sci. USA 1989, 86, 830-834.
18. Auletta, G. A mathematical model of complexity and its application to chemotaxis. Br. J. Math. Comput. Sci. 2011, 1, 204-227.
19. Hazelbauer, G.L.; Falke, J.J.; Parkinson, J.S. Bacterial chemoreceptors: High-performance signaling in networked arrays. Trends Biochem. Sci. 2008, 33, 9-19.
20. Auletta, G. Teleonomy: The feedback circuit involving information and thermodynamic processe. J. Mod. Phys. 2011, 2.3, 136-145.
21. Peirce, C.S. The nature of meaning. 1903, manuscript published in [26, II, 208-225].
22. Peirce, C.S. Pragmatism. 1907, manuscript published in [26, II,398-433].
23. Shapiro, J.A. Bacteria are small but not stupid: Cognition, natural genetic engineering and socio-bacteriology. Stud. History Phil. Biol. Biomed. Sci. 2007, 38, 807-819.
24. Jacob, F.; Monod, J. Genetic regulatory mechanisms in the synthesis of proteins. J. Mol. Biol. 1961, 3, 318-356.
25. Shapiro, J.A. Genome Organization and Reorganization in Evolution: Formatting for Computation and Function. In From Epigenesis to Epigenetics: The Genome in Context; van Speybroeck, L., van de Vijver, G., de Waele, D., Eds.; Academy of Sciences: New York, NY, USA, 2002; pp. 111-134.
26. Peirce, C.S. The Essential Peirce; Indiana University Press: Bloomington, IN, USA, 1998; volumes I-II.