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

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DGBA Reference Works <1990
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Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2022]
©1987
Year of Publication:2022
Edition:Reprint 2021
Language:English
Series:Mathematical Ecology
Online Access:
Physical Description:1 online resource (120 p.)
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100 1 |a Nicolis, John S.,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Chaotic Dynamics Applied to Biological Information Processing /  |c John S. Nicolis. 
250 |a Reprint 2021 
264 1 |a Berlin ;  |a Boston :   |b De Gruyter,   |c [2022] 
264 4 |c ©1987 
300 |a 1 online resource (120 p.) 
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490 0 |a Mathematical Ecology 
505 0 0 |t Frontmatter --   |t Preface --   |t Contents --   |t 1 . Introduction --   |t 2. Symmetry and symmetry breaking. Information generation --   |t 3. Collisions versus iterations: A basic isomorphism between physical and symbolic dynamics (see also Appendix) --   |t 4. Lyapunov exponents of chaotic flows in multidimensional state space. The non-uniform factor NUF --   |t 5. A typical three-dimensional strange attractor. The Lorenz model --   |t 6. Parameters characterizing the average behaviour of chaotic strange attractors (dimensions, entropies, and Lyapunov exponents) --   |t 7. The electrical activity of the brain - should it be chaotic? --   |t 8. The problem of computational complexity --   |t 9. Application to cognitive processess: The "magic number seven" plus-minus two revisited --   |t 10. Intermlttency In perception and communication processes --   |t 11 . Thermodynamics of (fractal) curves and patterns In the plane --   |t 12. Concluding remarks --   |t Appendix: A physical system composed of N hard spheres --   |t References 
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546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022) 
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