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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.
Machine Learning for Human Motion Analysis: Theory and Practice (Premier Reference Source) Автор: Liang Wang, Li Cheng, Guoying Zhao, Liang Wang, Li Cheng, Guoying Zhao Год: 2009 |
Physics for Scientists an Engineers Modern Physics and MasteringPhysics (4th Edition) (MasteringPhysics Series) Автор: Douglas C. Giancoli Год: 2008 |
Rigid Body Dynamics Автор: Borisov A.V., Mamaev I.S. Год: 2001 |
Complex Dynamics of Glass-Forming Liquids: A Mode-Coupling Theory Автор: Wolfgang Götze Год: 2009 |
Machine Learning for Human Motion Analysis: Theory and Practice (Premier Reference Source) Автор: Liang Wang, Li Cheng, Guoying Zhao, Liang Wang, Li Cheng, Guoying Zhao Год: 2009 |
Complex Visual Motion Analysis via Probabilistic Variational Methods Автор: Gang Hua Год: 2010 |