Dynamical models in neurocognitive psychology

Neural coding -- Fixational eye movements -- Information accumulation in simple decisions -- Sensorimotor integration -- Eye-movement control during reading -- Viewing and spatial statistics -- Bimanual coordination and coupled oscillations -- Epilog: Dynamical models -- Basic concepts on probabilit...

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1. Verfasser: Engbert, Ralf (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham, Switzerland Springer 2021
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Zusammenfassung:Neural coding -- Fixational eye movements -- Information accumulation in simple decisions -- Sensorimotor integration -- Eye-movement control during reading -- Viewing and spatial statistics -- Bimanual coordination and coupled oscillations -- Epilog: Dynamical models -- Basic concepts on probability and stochastic processes -- Basic Concepts on ordinary differential equations.
The development of cognitive models is a key step in the challenging research program to advance our understanding of human cognition and behavior. Dynamical models represent a general and flexible approach to cognitive modeling. This introduction focuses on applications of stochastic processes and dynamical systems to model cognition. The dynamical approach is particularly useful to emphasize the strong link between experimental research (and its paradigms), data analysis, and mathematical models including their computer implementation for numerical simulation. Most of specific examples are from the domain of eye movement research, with concepts being applicable to a broad range of problems in cognitive modeling. The textbook aims at the graduate and/or advanced undergraduate level for students in Cognitive Science and related disciplines such as Psychology and Computer Science. Joint introduction of the theory of cognitive processes and mathematical models, their underlying mathematical concepts, numerical simulation, and analysis; The focus on eye movements provide a theoretically coherent, but very general application area; Computer code in R Programming Language for Statistical Computing is available for all examples, figures, and solutions to exercises
Beschreibung:Literaturangaben
Beschreibung:xiii, 155 Seiten
Illustrationen, Diagramme
24 cm
ISBN:9783030672980
978-3-030-67298-0