Preface for special issue on nonlinear dynamics modeling and control for brain science and brain-like intelligence

Excerpt

The nervous system is an extremely large, strongly coupled, and highly nonlinear complex network with multiple scales, ranging from molecules, cells, ensembles to brain regions. Nonlinear dynamics and control science can be powerful tools to characterize the network and provide clues for the evolution of the topological and functional networks of brain. In-depth dynamical network analysis will be able to significantly advance the clinical exploration and understanding of the mechanisms underlying neurological diseases, provide quantitative assessment for clinical neurological diagnosis, and trigger effective methods for neurotherapy and rehabilitation. Neural dynamics research on the mechanism of biological intelligence, such as information coding, processing, memory, learning and reasoning, can provide new principles, new ways and new methods for brain-like intelligence. This Special Issue of Cognitive Neurodynamics on “Nonlinear Dynamics Modeling and Control for Brain Science and Brain-Like Intelligence” addresses specifically these issues and some experts and scholars in the field are invited to present and discuss their research results. …