Motion processing is an essential piece of the complex brain machinery that allows us to reconstruct the 3D layout of objects in the environment, to break camouflage, to perform scene segmentation, to estimate the ego movement, and to control our action. Although motion perception and its neural basis have been a topic of intensive research and modeling the last two decades, recent experimental evidences have stressed the dynamical aspects of motion integration and segmentation. This book presents the most recent approaches that have changed our view of biological motion processing. These new experimental evidences call for new models emphasizing the collective dynamics of large population of neurons rather than the properties of separate individual filters. Chapters will stress how the dynamics of motion processing can be used as a general approach to understand the brain dynamics itself.

The collection of papers presented in this publication is characterized by its high degree of interdisciplinarity. The papers cover the fields of computer science, psychology, neuroscience as well as biology. The common denominator of all papers consists in the observation that the sensory systems of man, animals and robots have to solve similar tasks such as goal-directed behaviour, orientation within a 3D world or object identification, to name just a few.