Library Catalog
Amazon cover image
Image from Amazon.com

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

By: Material type: TextTextSeries: Mathematical EcologyPublisher: Berlin ; Boston : De Gruyter, [2022]Copyright date: ©1987Edition: Reprint 2021Description: 1 online resource (120 p.)Content type:
Media type:
Carrier type:
ISBN:
  • 9783112541357
  • 9783112541364
Subject(s): Other classification:
  • online - DeGruyter
Online resources: Available additional physical forms:
  • Issued also in print.
Contents:
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
Holdings
Item type Current library Call number URL Status Notes Barcode
eBook eBook Biblioteca "Angelicum" Pont. Univ. S.Tommaso d'Aquino Nuvola online online - DeGruyter (Browse shelf(Opens below)) Online access Not for loan (Accesso limitato) Accesso per gli utenti autorizzati / Access for authorized users (dgr)9783112541364

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

restricted access online access with authorization star

http://purl.org/coar/access_right/c_16ec

Issued also in print.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022)