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

Format:

Book

Author/Creator:

Nicolis, John S., Author.

Series:

Mathematical ecology.

Mathematical Ecology

Language:

English

Subjects (All):

Ecology--Mathematical models.

Ecology.

Chaotic behavior in systems.

Physical Description:

1 online resource (120 p.)

Edition:

Reprint 2021

Place of Publication:

Berlin ; Boston : De Gruyter, [2022]

Language Note:

In English.

Summary:

No detailed description available for "Chaotic Dynamics Applied to Biological Information Processing".

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

Notes:

Includes index.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 02. Mrz 2022)

Description based on publisher supplied metadata and other sources.

ISBN:

3-11-254136-7

OCLC:

1301546684