Preface; Contents; 1. Introduction; 2. Complex dynamics in neural and genetic networks; 3. Complex patterns and attractors for reaction-diffusion systems; 4. Random perturbations, evolution and complexity; Bibliography; Index
Summary
This book focusses ondynamic complexity of neural and genetic networks, reaction diffusion systems and equations of fluid dynamics. It considersviability problems for such systems and discusses an interesting hypothesis of M. Gromov andA. Carbone on biological evolution. Several applications are considered
Bibliography
Incluye referencias bibliográficas (pages 279-292) e índice
