Ebook: Nonlinear Dynamics in Human Behavior
- Tags: Appl.Mathematics/Computational Methods of Engineering, Statistical Physics Dynamical Systems and Complexity, Artificial Intelligence (incl. Robotics), Cognitive Psychology, Human Physiology
- Series: Studies in Computational Intelligence 328
- Year: 2011
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
Humans 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.
Humans 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.
Humans 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.
Content:
Front Matter....Pages -
Dynamical Systems in One and Two Dimensions: A Geometrical Approach....Pages 1-33
Benefits and Pitfalls in Analyzing Noise in Dynamical Systems – On Stochastic Differential Equations and System Identification....Pages 35-68
The Dynamical Organization of Limb Movements....Pages 69-90
Perspectives on the Dynamic Nature of Coupling in Human Coordination....Pages 91-114
Do We Need Internal Models for Movement Control?....Pages 115-134
Nonlinear Dynamics in Speech Perception....Pages 135-150
A Neural Basis for Perceptual Dynamics....Pages 151-177
Optical Illusions: Examples for Nonlinear Dynamics in Perception....Pages 179-191
A Dynamical Systems Approach to Musical Tonality....Pages 193-211
Back Matter....Pages -
Humans 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.
Content:
Front Matter....Pages -
Dynamical Systems in One and Two Dimensions: A Geometrical Approach....Pages 1-33
Benefits and Pitfalls in Analyzing Noise in Dynamical Systems – On Stochastic Differential Equations and System Identification....Pages 35-68
The Dynamical Organization of Limb Movements....Pages 69-90
Perspectives on the Dynamic Nature of Coupling in Human Coordination....Pages 91-114
Do We Need Internal Models for Movement Control?....Pages 115-134
Nonlinear Dynamics in Speech Perception....Pages 135-150
A Neural Basis for Perceptual Dynamics....Pages 151-177
Optical Illusions: Examples for Nonlinear Dynamics in Perception....Pages 179-191
A Dynamical Systems Approach to Musical Tonality....Pages 193-211
Back Matter....Pages -
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