Dynamics of Visual Motion Processing
Neuronal, Behavioral, and Computational Approaches
Nonfiction, Health & Well Being, Medical, Specialties, Internal Medicine, Neuroscience, Neurology, Science & Nature, Science
| Author: | ISBN: | 9781441907813 | |
| Publisher: | Springer US | Publication: | December 2, 2009 |
| Imprint: | Springer | Language: | English |
| Author: | |
| ISBN: | 9781441907813 |
| Publisher: | Springer US |
| Publication: | December 2, 2009 |
| Imprint: | Springer |
| Language: | English |
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.
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.
