Ralf Engbert
Dynamical Models In Neurocognitive Psychology
Dynamical Models In Neurocognitive Psychology
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- More about Dynamical Models In Neurocognitive Psychology
Cognitive models are a key step in advancing our understanding of human cognition and behavior. Dynamical models represent a general and flexible approach to cognitive modeling, emphasizing the strong link between experimental research, data analysis, and mathematical models. This textbook aims at the graduate and/or advanced undergraduate level for students in Cognitive Science and related disciplines, with computer code in R Programming Language for Statistical Computing available for all examples, figures, and solutions to exercises.
Format: Paperback / softback
Length: 155 pages
Publication date: 04 March 2022
Publisher: Springer Nature Switzerland AG
The development of cognitive models is a crucial component in the intricate research program aimed at advancing our understanding of human cognition and behavior. Dynamical models represent a versatile and comprehensive approach to cognitive modeling, offering a broad framework for understanding the complexities of the human mind. In this introductory chapter, we will delve into the applications of stochastic processes and dynamical systems in modeling cognition.
The dynamical approach holds significant value in emphasizing the close relationship between experimental research, data analysis, and mathematical models, including their computer implementation for numerical simulation. Numerous specific examples are drawn from the field of eye movement research, demonstrating the broad applicability of these concepts to a wide range of cognitive modeling problems. This textbook is designed for graduate and/or advanced undergraduate students in the fields of Cognitive Science, Psychology, and Computer Science.
The chapter will provide a joint introduction to the theory of cognitive processes and mathematical models, their underlying mathematical concepts, numerical simulation, and analysis. By focusing on eye movements as a theoretically coherent but highly general application area, the textbook offers a comprehensive and accessible introduction to cognitive modeling. Additionally, computer code in the R Programming Language for Statistical Computing is available for all examples, figures, and solutions to exercises, facilitating hands-on learning and exploration of the topics covered.
Weight: 273g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030673017
Edition number: 1st ed. 2021
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