000 03527nam a22005415i 4500
001 978-3-642-16262-6
003 DE-He213
005 20140220083748.0
007 cr nn 008mamaa
008 101208s2011 gw | s |||| 0|eng d
020 _a9783642162626
_9978-3-642-16262-6
024 7 _a10.1007/978-3-642-16262-6
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aHuys, Raoul.
_eeditor.
245 1 0 _aNonlinear Dynamics in Human Behavior
_h[electronic resource] /
_cedited by Raoul Huys, Viktor K. Jirsa.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aVIII, 216 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v328
505 0 _aDynamical Systems in One and Two Dimensions: A Geometrical Approach -- Benefits and Pitfalls in Analyzing Noise in Dynamical Systems – On Stochastic Differential Equations and System Identification -- The Dynamical Organization of Limb Movements -- Perspectives on the Dynamic nature of Coupling in Human Coordination -- Do we need Internal Models for Movement Control? -- Nonlinear Dynamics in Speech Perception -- A Neural Basis for Perceptual Dynamics -- Optical Illusions: Examples for Nonlinear Dynamics in Perception -- A Dynamical Systems Approach to Musical Tonality.
520 _aHumans engage in a seemingly endless variety of different behaviors, of which some are found across species, while others are conceived of as typically human. Most generally, behavior comes about through the interplay of various constraints – informational, mechanical, neural, metabolic, and so on – operating at multiple scales in space and time. Over the years, consensus has grown in the research community that, rather than investigating behavior only from bottom up, it may be also well understood in terms of concepts and laws on the phenomenological level. Such top down approach is rooted in theories of synergetics and self-organization using tools from nonlinear dynamics. The present compendium brings together scientists from all over the world that have contributed to the development of their respective fields departing from this background. It provides an introduction to deterministic as well as stochastic dynamical systems and contains applications to motor control and coordination, visual perception and illusion, as well as auditory perception in the context of speech and music.
650 0 _aEngineering.
650 0 _aHuman physiology.
650 0 _aArtificial intelligence.
650 0 _aEngineering mathematics.
650 0 _aConsciousness.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aStatistical Physics, Dynamical Systems and Complexity.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aCognitive Psychology.
650 2 4 _aHuman Physiology.
700 1 _aJirsa, Viktor K.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642162619
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v328
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-16262-6
912 _aZDB-2-ENG
999 _c107137
_d107137