Chaotic Dynamics Applied to Biological Information Processing / / John S. Nicolis.

• Superior document: Title is part of eBook package: De Gruyter DGBA Reference Works <1990
• VerfasserIn: Nicolis, John S.,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2022]; ©1987
• Year of Publication: 2022
• Edition: Reprint 2021
• Language: English
• Series: Mathematical Ecology
• Physical Description: 1 online resource (120 p.)
• Other title: Frontmatter --; Preface --; Contents --; 1 . Introduction --; 2. Symmetry and symmetry breaking. Information generation --; 3. Collisions versus iterations: A basic isomorphism between physical and symbolic dynamics (see also Appendix) --; 4. Lyapunov exponents of chaotic flows in multidimensional state space. The non-uniform factor NUF --; 5. A typical three-dimensional strange attractor. The Lorenz model --; 6. Parameters characterizing the average behaviour of chaotic strange attractors (dimensions, entropies, and Lyapunov exponents) --; 7. The electrical activity of the brain - should it be chaotic? --; 8. The problem of computational complexity --; 9. Application to cognitive processess: The "magic number seven" plus-minus two revisited --; 10. Intermlttency In perception and communication processes --; 11 . Thermodynamics of (fractal) curves and patterns In the plane --; 12. Concluding remarks --; Appendix: A physical system composed of N hard spheres --; References
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9783112541364; 9783110637342
• DOI: 10.1515/9783112541364
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: John S. Nicolis.