Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences - Proceedings of the XXIII International Conference on Nonlinear Dynamics of Electronic Systems, Como, Italy, 7-11 September 2015

This book collects contributions to the XXIII international conference "Nonlinear dynamics of electronic systems". Topics range from non-linearity in electronic circuits to synchronisation effects in complex networks to biological systems, neural dynamics and the complex organisation of the brain. Resting on a solid mathematical basis, these investigations address highly interdisciplinary problems in physics, engineering, biology and biochemistry.

Summary

This book collects contributions to the XXIII international conference “Nonlinear dynamics of electronic systems”. Topics range from non-linearity in electronic circuits to synchronisation effects in complex networks to biological systems, neural dynamics and the complex organisation of the brain. Resting on a solid mathematical basis, these investigations address highly interdisciplinary problems in physics, engineering, biology and biochemistry.

Product details

• Assisted by: Giorgio Mantica (Editor), Rued Stoop (Editor), Ruedi Stoop (Editor), Sebastiano Stramaglia (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2018
• EAN: 9783319838311
• ISBN: 978-3-31-983831-1
• No. of pages: 222
• Dimensions: 155 mm x 13 mm x 235 mm
• Weight: 385 g
• Illustrations: XXV, 222 p. 113 illus., 86 illus. in color.
• Series: Springer Proceedings in Physics; Springer Proceedings in Physics
• Subjects: Natural sciences, medicine, IT, technology > Physics, astronomy > Theoretical physics; C, biochemistry, Complex systems, Life sciences: general issues, Theoretical, Mathematical and Computational Physics, Biochemistry, general, Physics and Astronomy, Electronics, Microelectronics, Electronics and Microelectronics, Instrumentation, Systems Biology, Dynamical systems, Mathematical modelling, Electronics engineering, Computational and Systems Biology, Neural networks (Computer science), Dynamics & statics, Statistical physics, Statistical Physics and Dynamical Systems