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001			978-1-4419-0781-3
003			DE-He213
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007			cr nn 008mamaa
008			100301s2010 xxu| s |||| 0|eng d
020			_a9781441907813 _9978-1-4419-0781-3
024	7		_a10.1007/978-1-4419-0781-3 _2doi
050		4	_aRC321-580
072		7	_aPSAN _2bicssc
072		7	_aMED057000 _2bisacsh
082	0	4	_a612.8 _223
100	1		_aIlg, Uwe J. _eeditor.
245	1	0	_aDynamics of Visual Motion Processing _h[electronic resource] : _bNeuronal, Behavioral, and Computational Approaches / _cedited by Uwe J. Ilg, Guillaume S. Masson.
264		1	_aBoston, MA : _bSpringer US : _bImprint: Springer, _c2010.
300			_aXX, 349p. 92 illus., 25 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aLow-Level Cortical Dynamic Motion Processing -- From Moving Contours to Object Motion: Functional Networks for Visual Form/Motion Processing -- Temporal Dynamics of Motion Integration -- Dynamics of Pattern Motion Computation -- Multiscale Functional Imaging in V1 and Cortical Correlates of Apparent Motion -- Stimulus Localization by Neuronal Populations in Early Visual Cortex: Linking Functional Architecture to Perception -- Second-Order Motion Stimuli: A New Handle to Visual Motion Processing -- Active Vision, Pursuit and Motion Perception -- Motion Detection for Reflexive Tracking -- When the Brain Meets the Eye: Tracking Object Motion -- Interactions Between Perception and Smooth Pursuit Eye Movements -- Perception of Intra-saccadic Motion -- Intrasaccadic Motion: Neural Evidence for Saccadic Suppression and Postsaccadic Enhancement -- Modeling Dynamic Processing -- Maximizing Causal Information of Natural Scenes in Motion -- Neural Models of Motion Integration, Segmentation, and Probabilistic Decision-Making -- Features in the Recognition of Emotions from Dynamic Bodily Expression.
520			_aVisual motion is an essential piece of information for both perceiving our environment and controlling our actions. The visual motion system has evolved as an exquisite machinery adapted to reconstruct the direction and speed of the object of interest within a few dozen milliseconds. In the last decade, tremendous progress has been made in the understanding of how the outputs of local motion detectors are integrated. In particular, its dynamics are now unveiled at neuronal and behavioral levels. Solutions for fundamental computational problems such as the aperture problem and the interplay between motion segmentation and integration have been proposed from these works and biologically-realistic simulations are been proposed. Such a multi-level approach is rooted in the fact that dynamics of these solutions can be tackled at different scales using similar tasks and stimuli. Dynamics of Visual Motion Processing offers an overview of recent work on the dynamics of motion integration with inter-related examples taken from physiology (both single-neuron and population activity) and psychophysics as well as sensorimotor control or active vision. The last section presents three different approaches for understanding and modeling motion perception of natural scenes, complex 3D layout, and biological motion. About the Editors: Guillaume S. Masson is Director of Research at the Institut de Neurosciences Cognitives de la Méditerranée (CNRS & Université de la Méditerranée) where he is the head of the team Dynamics of Vision and Action. His research is devoted to understanding the sensory mechanisms involved in controlling our actions, in particular the link between visual motion processing and tracking eye movements. Behavioral studies conducted in both humans and animals are combined with physiological studies conducted at the population level. Uwe J. Ilg is Professor at the Hertie-Institute for Clinical Brain Research (HIH) and the Werner Reichardt Centre for Integrative Neuroscience (CIN) in Tuebingen in the beautiful south of Germany. He tries to gain deeper insights into the fundamentals of sensorimotor integration underlying vision by a combination of perceptual and behavioral studies of humans and animals together with the analysis of single-unit response properties.
650		0	_aMedicine.
650		0	_aNeurosciences.
650		0	_aNeurology.
650		0	_aAnimal behavior.
650		0	_aBioinformatics.
650		0	_aNeurobiology.
650	1	4	_aBiomedicine.
650	2	4	_aNeurosciences.
650	2	4	_aNeurobiology.
650	2	4	_aNeurology.
650	2	4	_aBioinformatics.
650	2	4	_aBehavioural Sciences.
700	1		_aMasson, Guillaume S. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781441907806
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4419-0781-3
912			_aZDB-2-SBL
999			_c110252 _d110252